Merge remote-tracking branch 'origin/main' into feat/mcp-tool-whitelist

This commit is contained in:
2026-08-28 09:55:05 -06:00
16 changed files with 746 additions and 49 deletions
+9 -10
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@@ -3,7 +3,7 @@ name = "coyote-ai"
version = "0.8.3"
edition = "2024"
authors = ["Alex Clarke <alex.j.tusa@gmail.com>"]
description = "An all-in-one, batteries included LLM CLI Tool"
description = "The batteries-included runtime for LLMs"
keywords = ["chatgpt", "llm", "cli", "ai", "repl"]
homepage = "https://github.com/Dark-Alex-17/coyote"
repository = "https://github.com/Dark-Alex-17/coyote"
@@ -51,7 +51,13 @@ textwrap = "0.16.0"
ansi_colours = "1.2.2"
eventsource-stream = "0.2.3"
log = "0.4.28"
log4rs = { version = "1.4.0", features = ["file_appender", "rolling_file_appender", "compound_policy", "fixed_window_roller", "size_trigger"] }
log4rs = { version = "1.4.0", features = [
"file_appender",
"rolling_file_appender",
"compound_policy",
"fixed_window_roller",
"size_trigger",
] }
shell-words = "1.1.0"
sha2 = "0.10.8"
unicode-width = "0.2.0"
@@ -113,14 +119,7 @@ qrcode = "0.14"
[dependencies.reqwest]
version = "0.13.3"
features = [
"json",
"multipart",
"stream",
"form",
"socks",
"rustls",
]
features = ["json", "multipart", "stream", "form", "socks", "rustls"]
default-features = false
[dependencies.syntect]
+1 -1
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@@ -99,7 +99,7 @@ LABEL com.docker.sandboxes="templates" \
com.docker.sandboxes.flavor="shell-docker" \
com.docker.sandboxes.start-docker="true" \
org.opencontainers.image.title="coyote" \
org.opencontainers.image.description="An all-in-one, batteries-included LLM CLI tool: Shell Assistant, CLI & REPL mode, RAG, AI tools & agents, MCP servers, skills, and macros." \
org.opencontainers.image.description="The batteries-included runtime for LLMs: Shell Assistant, CLI & REPL mode, RAG, AI tools & agents, MCP servers, skills, and macros." \
org.opencontainers.image.source="https://github.com/Dark-Alex-17/coyote" \
org.opencontainers.image.version="${COYOTE_VERSION}"
+17 -13
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@@ -1,4 +1,4 @@
# Coyote: All-in-one, batteries-included LLM CLI Tool
# Coyote: The batteries-included runtime for LLMs
![Test](https://github.com/Dark-Alex-17/coyote/actions/workflows/ci.yaml/badge.svg)
[![crates.io link](https://img.shields.io/crates/v/coyote-ai.svg)](https://crates.io/crates/coyote-ai)
@@ -6,14 +6,18 @@
![Crate.io downloads](https://img.shields.io/crates/d/coyote-ai?label=Crate%20downloads)
[![GitHub Downloads](https://img.shields.io/github/downloads/Dark-Alex-17/coyote/total.svg?label=GitHub%20downloads)](https://github.com/Dark-Alex-17/coyote/releases)
![Docker pulls](https://img.shields.io/docker/pulls/darkalex17/coyote?label=Docker%20downloads)
[![License: AGPL v3](https://img.shields.io/badge/License-AGPL_v3-blue.svg)](./LICENSE)
[![License: AGPL v3](https://img.shields.io/badge/License-AGPL_v3-blue.svg)](https://github.com/Dark-Alex-17/coyote/blob/main/LICENSE)
Coyote is an all-in-one, batteries-included, LLM CLI tool featuring Shell Assistant, CLI & REPL Mode, RAG, AI Tools &
Agents, and More.
Coyote is an **all-in-one, batteries-included LLM runtime** for building, running, and interacting with AI from your terminal.
It brings together a Shell Assistant, CLI & REPL modes, RAG, tools, agents, MCP, skills, sandboxes, multi-agent workflows, and
more in a single runtime.
Coyote comes ready to use with built-in agents, roles, macros, and tools, so you can get started without assembling an AI
stack from scratch. When you want to extend it, entire bundles of agents, roles, macros, tools, MCP servers, and other
configurations can be installed directly from any Git repository.
See [Bundles](https://github.com/Dark-Alex-17/coyote/wiki/Bundles) to learn how to create, install, and share Coyote bundles.
It is designed to include a number of useful agents, roles, macros, and more so users can get up and running with Coyote
in as little time as possible. You can also install entire bundles of agents, roles, macros, tools, and MCP servers from
any git repository. See [Sharing Configurations](https://github.com/Dark-Alex-17/coyote/wiki/Sharing-Configurations) for more information.
![Agent example](https://raw.githubusercontent.com/wiki/Dark-Alex-17/coyote/images/agents/sql.gif)
@@ -263,7 +267,7 @@ coyote | Out-String | Invoke-Expression
### Shell Integration
You can integrate Coyote's Shell Assistant into your shell for enhanced command-line assistance. Add the code in the
corresponding [shell integration script](./scripts/shell-integration) to your shell. Then, you can invoke Coyote to convert natural language to
corresponding [shell integration script](https://github.com/Dark-Alex-17/coyote/tree/main/scripts/shell-integration) to your shell. Then, you can invoke Coyote to convert natural language to
shell commands by pressing `Alt-e`. For example:
```shell
@@ -281,7 +285,7 @@ coyote --info | grep 'config_file' | awk '{print $2}'
```
The configuration file consists of a number of settings. To see a full example configuration file with every setting
defined, refer to the [example configuration file](./config.example.yaml).
defined, refer to the [example configuration file](https://github.com/Dark-Alex-17/coyote/blob/main/config.example.yaml).
### Default LLM
The following settings are available to configure the default LLM that is used when you start Coyote, and its
@@ -335,7 +339,7 @@ The appearance of Coyote can be modified using the following settings:
Coyote began as a fork of [AIChat CLI](https://github.com/sigoden/aichat) and has since evolved into an independent project.
See [CREDITS.md](./CREDITS.md) for full attribution and background.
See [CREDITS.md](https://github.com/Dark-Alex-17/coyote/blob/main/CREDITS.md) for full attribution and background.
---
@@ -346,11 +350,11 @@ See [CREDITS.md](./CREDITS.md) for full attribution and background.
## License
Coyote is licensed under the [GNU Affero General Public License v3.0](./LICENSE)
Coyote is licensed under the [GNU Affero General Public License v3.0](https://github.com/Dark-Alex-17/coyote/blob/main/LICENSE)
(AGPL-3.0-only).
Coyote began as a fork of [AIChat](https://github.com/sigoden/aichat)
(Copyright (c) sigoden), which is licensed under the MIT License. Substantial
portions of Coyote are derived from AIChat and remain available under the MIT
License, preserved in [LICENSE-MIT](./LICENSE-MIT). See [NOTICE](./NOTICE) and
[CREDITS.md](./CREDITS.md) for details.
License, preserved in [LICENSE-MIT](https://github.com/Dark-Alex-17/coyote/blob/main/LICENSE-MIT). See [NOTICE](https://github.com/Dark-Alex-17/coyote/blob/main/NOTICE) and
[CREDITS.md](https://github.com/Dark-Alex-17/coyote/blob/main/CREDITS.md) for details.
+44 -5
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@@ -3,8 +3,9 @@ description: |
Design-doc orchestrator for any project. Consumes a high-level design doc, decomposes it into a
gated plan (gatekeeper self-containedness + oracle plan-review) and ~1-engineer-day task files,
spawns one Sisyphus per task on a single run branch, verifies each with an adversarial
plan-conformance check, and finishes with ONE draft PR (CI checks watched to green) plus tracked
follow-up tasks. Task state lives on disk in a plans directory, so runs survive context compression.
plan-conformance check (plus a black-box usage-pattern probe for consumer-facing surface), and
finishes with ONE draft PR (CI checks watched to green) plus tracked follow-up tasks. Task state
lives on disk in a plans directory, so runs survive context compression.
version: 2.1.0
agent_session: temp
auto_continue: true
@@ -18,6 +19,7 @@ spawnable_agents:
- explore
- librarian
- adversary
- probe
- gatekeeper
max_concurrent_agents: 10
max_agent_depth: 10
@@ -149,7 +151,8 @@ instructions: |
**Gate 1 — Self-containedness (`gatekeeper`).** The plan must pass the "docker container" test:
every question a context-free implementer will hit is answered inline or delegated via a verified
pointer to code/docs (where infra code goes, DB tech/target, layout to mirror, test commands, ...).
pointer to code/docs (where infra code goes, DB tech/target, layout to mirror, test commands,
local-run recipe for any consumer-facing surface the plan creates, ...).
> `agent__spawn --agent gatekeeper --prompt "Audit this plan for self-containedness. Return
> SEALED/LEAKY. Plan: {{plans_dir}}/PLAN-<slug>.md. Target project: {{project_dir}}."`
@@ -286,6 +289,39 @@ instructions: |
escalate — do not silently change scope.
- **`ADVERSARIAL_REVIEW: CONFORMS`** → conformance satisfied. Also confirm the stated test
commands pass (run them if feasible) before closing.
- **Usage-pattern probe (consumer-facing tasks).** If the task added or changed consumer-facing
surface (endpoints/RPCs/CLI commands, request/response shapes, contract semantics like
patch-vs-replace, idempotency, auth on routes), ALSO spawn `probe` for an independent
black-box behavioral verdict — it boots the code locally from a clean state, runs existing
usage suites for regressions, and spec-first-tests the changed surface with the repo's
existing suite tooling or whatever is available (e.g. Hurl/curl, grpcurl, direct CLI
invocation). Skip it (one-line note) for tasks with no consumer-visible surface.
```
agent__spawn --agent probe --prompt "Probe TASK-NNN's changed surface from the consumer's
perspective. Return PASS/FAIL/INCONCLUSIVE.
CHANGE: run get_diff --base <the task's BASE SHA recorded at claim time> in {{project_dir}}.
SPEC — expected behavior to verify against:
<paste the task's acceptance criteria + relevant API contract sections VERBATIM>
LOCAL-RUN RECIPE: <paste the plan's local-run recipe verbatim — Gate 1 requires one for
consumer-facing tasks>
EXISTING SUITES: <paths + run commands from the plan, or 'discover them'>"
```
Set the probe's `project_dir` to {{project_dir}}. Verdict handling:
- **`USAGE_PROBE: FAIL`** → blocker, same loop as DIVERGES: resume the SAME Sisyphus session
with the behavioral findings (including repros) verbatim; re-run `probe` ONCE (resume ITS
session so it reuses its environment and tests); still FAILing on the same findings →
STOP and escalate.
- **`USAGE_PROBE: PASS`** → have Sisyphus adopt probe's new test files (paths are in its
report) as a commit on the run branch so they ship as permanent regression coverage.
- **`USAGE_PROBE: INCONCLUSIVE`** → the local-run recipe is missing or broken — a PLAN gap,
not a code failure. Fix the recipe (amend the plan) or escalate, re-run once; NEVER count
INCONCLUSIVE as PASS or FAIL.
- If Sisyphus reports failure after its own recovery, surface the evidence and consult `oracle`
for diagnosis before deciding whether to retry, re-scope, or escalate.
@@ -328,8 +364,8 @@ instructions: |
({{project_dir}}/.worktrees/task-NNN) and the branch with the task branch. Sisyphus commits and
pushes the TASK branch. All other prompt sections unchanged — still no PRs, still no
creating/switching branches (the worktree arrives already on its branch).
- Run the adversary check in the worktree: `get_diff --base <BASE SHA>` — identical semantics to
sequential mode.
- Run the adversary check (and, for consumer-facing tasks, the probe check) in the worktree:
`get_diff --base <BASE SHA>` — identical semantics to sequential mode.
**Integration (architect is the integrator; merges are ALWAYS one at a time):**
1. When a task's Sisyphus finishes AND its adversary check CONFORMS, merge in the PRIMARY checkout:
@@ -404,6 +440,7 @@ instructions: |
| `oracle` | Plan review (`plan-review`), and diagnosis when a task fails after Sisyphus recovery. |
| `gatekeeper` | Plan self-containedness gate (Phase C Gate 1): audits the PLAN for the "docker container" standard, returns SEALED/LEAKY with the missing implementer questions. |
| `adversary` | Post-implementation plan-conformance verdict per task (CONFORMS/DIVERGES). |
| `probe` | Black-box behavioral verdict on a task's consumer-facing surface: boots the code locally from clean state, runs existing usage suites + spec-first tests. Returns USAGE_PROBE PASS/FAIL/INCONCLUSIVE. |
## Escalation handling
@@ -424,6 +461,8 @@ instructions: |
- Materializing tasks from a plan the gatekeeper marked LEAKY (or never audited), or that Oracle
rejected (or never reviewed).
- Marking a task complete without the adversary's CONFORMS verdict and verified acceptance criteria.
- Closing a consumer-facing task without a `probe` verdict, or treating `INCONCLUSIVE` as PASS —
an unprobeable consumer-facing change is a plan gap to fix, not a checkbox to skip.
- Code comments referencing the plan/design doc/phases/steps/TASK numbers → docs drift, comments
rot; plan references live in commit messages only.
- A `.env` file landing in any repo → only `.env.example` with placeholder keys is committable;
+1
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@@ -17,6 +17,7 @@ variables:
mcp_servers:
- ddg-search
global_tools:
- web_search_coyote.sh
- ast_grep.sh
- fs_read.sh
- fs_cat.sh
+24 -15
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@@ -8,9 +8,10 @@ description: |
sisyphus alongside explore when unfamiliar libraries/APIs/frameworks are
involved.
version: "1.0"
version: '1.0'
global_tools:
- web_search_coyote.sh
- fetch_url_via_curl.sh
mcp_servers:
@@ -35,13 +36,13 @@ reducers:
output: overwrite
initial_state:
language_ecosystem: "general"
doc_domain_hints: ""
refined_search_query: ""
question_type: "concept"
search_output: ""
oss_output: ""
findings: ""
language_ecosystem: 'general'
doc_domain_hints: ''
refined_search_query: ''
question_type: 'concept'
search_output: ''
oss_output: ''
findings: ''
start: triage
@@ -104,9 +105,15 @@ nodes:
type: string
enum: [api_reference, best_practice, debugging, concept]
description: The kind of question being asked.
required: [language_ecosystem, doc_domain_hints, refined_search_query, question_type]
required:
[
language_ecosystem,
doc_domain_hints,
refined_search_query,
question_type,
]
state_updates:
last_node_output: "{{output}}"
last_node_output: '{{output}}'
fallback: end_failure
next: [search, search_oss]
@@ -174,13 +181,15 @@ nodes:
- Refined query: {{refined_search_query}}
- Question type: {{question_type}}
Use the ddg-search tool. Prioritize the hinted doc domains when present
(e.g., search with `site:docs.python.org pathlib` style queries).
Use the ddg-search tool or the web_search_coyote tool. Prioritize the
hinted doc domains when present (e.g., search with `site:docs.python.org
pathlib` style queries).
tools:
- mcp:ddg-search
- web_search_coyote
max_iterations: 15
state_updates:
search_output: "{{output}}"
search_output: '{{output}}'
fallback: synthesize
next: synthesize
@@ -250,7 +259,7 @@ nodes:
- mcp:personal-github
max_iterations: 15
state_updates:
oss_output: "{{output}}"
oss_output: '{{output}}'
fallback: synthesize
next: synthesize
@@ -336,7 +345,7 @@ nodes:
- fetch_url_via_curl
max_iterations: 20
state_updates:
findings: "{{output}}"
findings: '{{output}}'
fallback: final_format
next: final_format
+1
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@@ -22,6 +22,7 @@ variables:
mcp_servers:
- ddg-search
global_tools:
- web_search_coyote.sh
- ast_grep.sh
- fs_read.sh
- fs_cat.sh
+124
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@@ -0,0 +1,124 @@
# Probe
A **black-box usage-pattern verifier**. Where every other reviewer reads *text* — the diff
([`code-reviewer`](../code-reviewer/README.md)), the plan ([`adversary`](../adversary/README.md)),
the attack surface ([`security-reviewer`](../security-reviewer/README.md)) — `probe` asks the one
question none of them can answer without running the thing:
> **"Does the changed consumer-facing surface actually behave as the spec promises when used,
> starting from nothing?"**
It boots the system locally from a clean slate, runs any existing usage suites first (regression
check), derives expected behaviors from the **spec** — never the implementation — and authors
tests for the uncovered usage patterns: cold-start/empty-state calls, idempotent re-calls, invalid
input, auth on new routes, partial-update (patch-vs-replace) semantics, serialization edges,
pagination limits, error-shape consistency. These are exactly the defects invisible to static
review.
## Why it's separate from the other reviewers
| | `code-reviewer` | `adversary` | `security-reviewer` | `probe` |
|---|---|---|---|---|
| Question | Is the code good? | Does it match the plan? | Can it be abused? | Does it *work* when used? |
| Method | Reads the diff | Diff vs. criteria | Source→sink tracing | **Runs the system**, black-box |
| Blind spot it covers | slop, bugs, coupling | skipped criteria, drift | injection, authz gaps | behavioral quirks, regressions, contract surprises |
| Output | severity findings | `CONFORMS`/`DIVERGES` | `PASS`/`FAIL` | `PASS`/`FAIL`/`INCONCLUSIVE` |
The independence is behavioral: expectations are written from the spec/contract **before** reading
handler code, so the implementer's misreadings can't become the probe's assertions — the same
principle that makes `adversary` valuable, applied to runtime behavior.
## Verdict (blocking, three-way)
```
USAGE_PROBE: PASS
Surface: <...>. Existing suites: <N run, all green | none found>. New tests: <M authored at <path>, all green>.
```
```
USAGE_PROBE: FAIL
Behavioral findings:
1. <surface + case> — <spec'd behavior> — <observed behavior> — REPRO: <exact request + response> — <test file>
```
```
USAGE_PROBE: INCONCLUSIVE
Could not establish a clean local environment: <verbatim error>. Missing: <the recipe/fixture that would unblock>.
```
- **`FAIL` blocks completion** — the caller resumes the SAME implementer session with the findings
pasted verbatim, then re-runs `probe` once to confirm.
- **`INCONCLUSIVE` is the honest third state**: the environment, not the code, is the blocker. It
routes the fix to the local-run recipe (often a plan gap the `gatekeeper` should have caught) and
is never disguised as `PASS` or `FAIL`.
Every `FAIL` finding carries an exact reproduction (request/command + response received) and the
test file that proves it.
## How it probes
Driven by the [`usage-pattern-testing`](../../skills/usage-pattern-testing/SKILL.md) skill:
1. **Spec first** — expected behaviors written from acceptance criteria + API contract before any
implementation reads.
2. **Regression first** — discover and run existing usage suites; every failure classified as
BUG / EXPECTED-CHANGE / ENV before anything new is authored.
3. **Delta only** — new tests cover only the usage patterns existing suites miss, written in the
repo's suite conventions so they're adoptable as permanent regression coverage.
4. **Clean, local, isolated** — ephemeral state, mocked externals, full teardown; bounded retries
for startup only, never to mask flakiness.
Toolbox by surface — the repo's existing suite format always comes first, and these are examples,
not requirements: [Hurl](https://hurl.dev) or `curl` scripts for HTTP/REST/JSON (Hurl files double
as committed suites), `grpcurl` for pure gRPC, direct invocation for CLIs.
Unlike the read-only reviewers, `probe` **writes test files** (and only test files) — the tests
are a deliverable alongside the verdict. It never modifies implementation code.
## Usage
Spawned by `sisyphus` (post-coder, when the change touches consumer-facing surface) or `architect`
(Phase E, alongside `adversary`). The spawn prompt IS its entire context — include the change, the
spec, and the local-run recipe:
```sh
agent__spawn --agent probe --prompt "
## TASK
Probe the changed API surface for TASK-NNN from the consumer's perspective. Return PASS/FAIL/INCONCLUSIVE.
## CHANGE
Run get_diff --base <ref>, or: <paste the changed-surface summary>
## SPEC — expected behavior to verify against
<paste acceptance criteria + API contract sections (or contract file paths) VERBATIM>
## LOCAL-RUN RECIPE
<how to boot the stack clean: build, deps/stubs, ports, migrations, teardown — or the doc that has it>
## EXISTING SUITES
<paths + run commands, or 'discover them'>
"
```
Direct invocation for ad-hoc use:
```sh
coyote -a probe --agent-variable project_dir /path/to/repo \
"Probe the /widgets endpoints changed in the last commit against this spec: <paste spec>"
```
### Tools
- `get_diff [--base <ref>]` — staged → unstaged → `HEAD~1` fallback (or an explicit base SHA/branch) to locate the changed surface.
- `get_changed_files [--base <ref>]` — quick changed-file map.
- Plus `fs_*`/`ast_grep` for suite discovery and contract reads, `fs_write`/`fs_patch` for authoring test files, and `execute_command` for booting the stack and running suites.
- Probing tools (`curl`, Hurl, grpcurl, the repo's own harness) are invoked via `execute_command`
(no wrapper tool — probing needs their full CLI surface), and none is a hard requirement: the
[`usage-pattern-testing`](../../skills/usage-pattern-testing/SKILL.md) skill has probe reuse the repo's existing suite tooling first and fall back to what's available.
The optional [`sbx-mixin.yaml`](sbx-mixin.yaml) preinstalls Hurl + grpcurl for sandbox runs.
## Related
- [`usage-pattern-testing`](../../skills/usage-pattern-testing/SKILL.md) — the methodology it runs on.
- [`adversary`](../adversary/README.md) — static plan-conformance counterpart (text), where `probe` is dynamic (behavior).
- [`gatekeeper`](../gatekeeper/README.md) — ensures plans ship the local-run recipe `probe` consumes.
+129
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@@ -0,0 +1,129 @@
name: probe
description: Black-box usage-pattern verifier - exercises a change's consumer-facing surface (HTTP APIs, RPCs, CLIs) as a real cold-start consumer against a locally running instance with clean, isolated state. Runs existing usage suites first for regressions (whatever format the repo uses - Hurl files, curl scripts, collections), authors spec-first tests for uncovered patterns in the repo's suite conventions (tools like Hurl and grpcurl are examples, not requirements), and returns a blocking USAGE_PROBE PASS/FAIL/INCONCLUSIVE verdict. Complements code-reviewer (quality), adversary (plan conformance), and security-reviewer (abuse). Designed to be delegated to by sisyphus and architect.
version: 1.0.0
auto_continue: true
max_auto_continues: 25
inject_todo_instructions: true
skills_enabled: true
enabled_skills:
- usage-pattern-testing
variables:
- name: project_dir
description: Project directory containing the change under test - where suites are discovered, the stack is booted, and new tests are written
default: '.'
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
global_tools:
- ast_grep.sh
- fs_read.sh
- fs_cat.sh
- fs_grep.sh
- fs_glob.sh
- fs_ls.sh
- fs_write.sh
- fs_patch.sh
- execute_command.sh
instructions: |
You are the usage-pattern probe. You answer ONE question: **does the changed consumer-facing
surface actually behave as the spec promises when used, starting from a clean slate?** Every
other reviewer reads text — the diff, the plan, the code. You are the only gate that BOOTS the
system locally and exercises it the way a consumer will: cold, black-box, spec-first.
You are NOT the code-quality reviewer (`code-reviewer`), NOT the plan-conformance reviewer
(`adversary`), and NOT the security reviewer (`security-reviewer`). You judge observable
behavior. Your value is behavioral independence: expectations derived from the spec BEFORE
reading the implementation, so the implementer's misreadings cannot become your assertions.
## Step 0: Load the skill
Before anything else, `skill__load` `usage-pattern-testing`. It carries your methodology: the
spec-first independence rule, the regression-first protocol (find and run existing suites before
authoring anything), the usage-pattern checklist (cold start, idempotency, invalid input, auth,
partial-update semantics, serialization edges, pagination, error shapes), the clean-environment
discipline, the failure-classification table (BUG / EXPECTED-CHANGE / ENV), the per-surface
toolbox (the repo's existing suite tooling comes first; Hurl/curl for HTTP, grpcurl for gRPC,
and direct invocation for CLIs are examples, not requirements), and the exact verdict format.
The skill body is your source of truth for HOW to probe; these instructions handle
workflow and I/O.
## Input (the spawn prompt IS your entire context)
You are given:
1. **The change** — a diff pasted inline, a summary of the changed surface, or an instruction to
run `git diff`/`get_diff` (optionally against a base ref) in {{project_dir}}.
2. **The spec** — acceptance criteria, plan section, or API contract (or paths to the contract
files: IDL/schema/OpenAPI/proto). This is what you derive expected behaviors FROM.
3. **A local-run recipe** (strongly preferred) — how to boot the system locally from a clean
state: build command, dependencies to start/stub, ports, migration/seed steps, teardown. If
absent, look for one in the repo's contributor docs and dev scripts before inventing your own.
4. **Pointers to existing usage suites** (optional) — where black-box tests already live and how
to run them. If absent, discover them per the skill.
If the spec is missing, STOP and say so: behavior cannot be judged without a promise to judge
against. Do not infer the spec from the implementation.
## Workflow
1. Load `usage-pattern-testing`.
2. Identify the changed consumer-facing surface from the diff/summary. No consumer-facing surface
→ return PASS with a one-line "no probeable surface" note; do not boot anything.
3. **Spec first:** write down expected behaviors as concrete request→response pairs from the
spec/contract, BEFORE reading handler code (implementation reads are for ports/config/startup
wiring only).
4. Discover existing usage suites; bring up the clean local environment per the recipe; run the
existing suites FIRST and classify every failure (regression vs expected contract change vs
environment).
5. Map existing coverage against your expected behaviors; author tests for the uncovered
patterns only, in the repo's suite location and conventions, walking the skill's
usage-pattern checklist.
6. Run the new tests. Classify every failure. Reproduce non-deterministic results twice and read
the server logs before classifying.
7. Tear the environment down. Emit the verdict in the skill's exact format.
## Output — verdict (MANDATORY, exact format)
End with EXACTLY one of the skill's three sentinels so the caller can route on it:
- `USAGE_PROBE: PASS` — existing suites green (or none), new spec-first tests green. List
surface probed, suites run, and tests authored (with paths, so the caller can adopt them).
- `USAGE_PROBE: FAIL` — behavioral findings, each with the spec'd behavior quoted, the observed
behavior, the EXACT reproduction (request/command + response received), and the test file.
- `USAGE_PROBE: INCONCLUSIVE` — a clean local environment could not be established. State what
failed verbatim and EXACTLY what recipe/fixture/mock would unblock. Include any partial
results. INCONCLUSIVE is honest and routes the fix to the environment recipe — NEVER disguise
it as PASS or FAIL.
## Rules
1. **Never modify implementation code.** Your only writes are new/updated TEST files (in the
repo's suite conventions) and throwaway environment scaffolding you tear down. The
implementer owns all fixes.
2. **Spec-first or nothing.** Expectations written from the spec before implementation reads.
If the spec and the contract files disagree, that is a finding — report it, don't pick one
silently.
3. **Regressions before new coverage.** Existing suites run first; a regression is only
acceptable when the spec explicitly changed that contract (then flag the stale test for
update — never delete or silence it).
4. **Clean, local, isolated.** Fresh ephemeral state, mocked externals, no dependence on
pre-existing data or running services, full teardown. Bounded retries for startup only —
never to mask a flaky assertion.
5. **Classify every failure** as BUG / EXPECTED-CHANGE / ENV per the skill table. The verdict
depends on the classification being honest.
6. **Committed tests are the deliverable** alongside the verdict: write them where the repo's
suites live so the caller can adopt them as permanent regression coverage. Report their paths.
7. Be terse and decisive. Three reproducible behavioral findings beat fifteen speculative ones.
If everything works as spec'd, it PASSes — say so.
## Context
- Project: {{project_dir}}
- CWD: {{__cwd__}}
- Shell: {{__shell__}}
## Available Tools
{{__tools__}}
+76
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@@ -0,0 +1,76 @@
schemaVersion: '1'
kind: mixin
name: agent-probe
description: >
Optional convenience for the probe agent: preinstalls Hurl (HTTP
usage-pattern tests) and grpcurl (gRPC probing) — the example tools its
skill reaches for — and allows the GitHub release endpoints the fallback
installers download from. Neither tool is required: probe reuses the repo's
existing suite tooling first and falls back to what's available. Hurl
prefers the distro package: the prebuilt GitHub tarball dynamically links
libxml2.so.2, which newer distros no longer ship (e.g. Ubuntu 26.04 moved
to libxml2.so.16). The services under probe run on localhost, which needs
no network allowance. POSIX-only: sbx runs these commands with /bin/sh (dash).
network:
allowedDomains:
# Latest-release lookup + tarball downloads (GitHub redirects release
# assets to *.githubusercontent.com object hosts)
- 'api.github.com:443'
- 'github.com:443'
- 'objects.githubusercontent.com:443'
- 'release-assets.githubusercontent.com:443'
commands:
install:
- command: |
set -eu
if command -v hurl >/dev/null 2>&1; then
hurl --version
exit 0
fi
if command -v apt-get >/dev/null 2>&1; then
sudo apt-get update
if apt-cache policy hurl 2>/dev/null | grep -q 'Candidate: [0-9]'; then
sudo apt-get install -y --no-install-recommends hurl
hurl --version
exit 0
fi
fi
arch="$(uname -m)"
case "$arch" in
aarch64|arm64) arch="aarch64" ;;
*) arch="x86_64" ;;
esac
curl -fsSL https://api.github.com/repos/Orange-OpenSource/hurl/releases/latest -o /tmp/hurl-release.json
ver="$(sed -n 's/.*"tag_name": *"\([^"]*\)".*/\1/p' /tmp/hurl-release.json | head -1)"
curl -fsSL "https://github.com/Orange-OpenSource/hurl/releases/download/${ver}/hurl-${ver}-${arch}-unknown-linux-gnu.tar.gz" -o /tmp/hurl.tgz
mkdir -p /tmp/hurl-extract
tar -xzf /tmp/hurl.tgz -C /tmp/hurl-extract
bin="$(find /tmp/hurl-extract -type f -name hurl | head -1)"
sudo install -m 0755 "$bin" /usr/local/bin/hurl
rm -rf /tmp/hurl.tgz /tmp/hurl-extract /tmp/hurl-release.json
hurl --version
user: '1000'
description: Install Hurl (distro package preferred, GitHub tarball fallback) for the probe agent's HTTP usage-pattern tests
- command: |
set -eu
if command -v grpcurl >/dev/null 2>&1; then
grpcurl -version
exit 0
fi
arch="$(uname -m)"
case "$arch" in
aarch64|arm64) arch="arm64" ;;
*) arch="x86_64" ;;
esac
curl -fsSL https://api.github.com/repos/fullstorydev/grpcurl/releases/latest -o /tmp/grpcurl-release.json
ver="$(sed -n 's/.*"tag_name": *"v\([^"]*\)".*/\1/p' /tmp/grpcurl-release.json | head -1)"
curl -fsSL "https://github.com/fullstorydev/grpcurl/releases/download/v${ver}/grpcurl_${ver}_linux_${arch}.tar.gz" -o /tmp/grpcurl.tgz
mkdir -p /tmp/grpcurl-extract
tar -xzf /tmp/grpcurl.tgz -C /tmp/grpcurl-extract
sudo install -m 0755 /tmp/grpcurl-extract/grpcurl /usr/local/bin/grpcurl
rm -rf /tmp/grpcurl.tgz /tmp/grpcurl-extract /tmp/grpcurl-release.json
grpcurl -version
user: '1000'
description: Install grpcurl (static GitHub release binary) for the probe agent's gRPC probes
+78
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@@ -0,0 +1,78 @@
#!/usr/bin/env bash
set -eo pipefail
# @env LLM_OUTPUT=/dev/stdout
# @env LLM_AGENT_VAR_PROJECT_DIR=.
# @describe Usage-pattern probe tools
_project_dir() {
local dir="${LLM_AGENT_VAR_PROJECT_DIR:-.}"
(cd "${dir}" 2>/dev/null && pwd) || echo "${dir}"
}
# @cmd Get the git diff whose consumer-facing surface is under probe. Returns staged changes, or unstaged if nothing is staged, or the HEAD~1 diff if the working tree is clean.
# @option --base Optional base ref to diff against (e.g., "main", "HEAD~3", a commit SHA, or a task's base SHA)
get_diff() {
local project_dir
project_dir=$(_project_dir)
# shellcheck disable=SC2154
local base="${argc_base:-}"
local diff_output=""
if [[ -n "${base}" ]]; then
diff_output=$(cd "${project_dir}" && git diff "${base}" 2>&1) || true
else
diff_output=$(cd "${project_dir}" && git diff --cached 2>&1) || true
if [[ -z "${diff_output}" ]]; then
diff_output=$(cd "${project_dir}" && git diff 2>&1) || true
fi
if [[ -z "${diff_output}" ]]; then
diff_output=$(cd "${project_dir}" && git diff HEAD~1 2>&1) || true
fi
fi
if [[ -z "${diff_output}" ]]; then
echo "No changes found to probe in ${project_dir}." >> "$LLM_OUTPUT"
return 0
fi
local file_count
file_count=$(echo "${diff_output}" | grep -c '^diff --git' || true)
{
echo "Diff contains changes to ${file_count} file(s):"
echo ""
echo "${diff_output}"
} >> "$LLM_OUTPUT"
}
# @cmd Get the list of changed files with stats (a quick map for locating the changed consumer-facing surface).
# @option --base Optional base ref to diff against
get_changed_files() {
local project_dir
project_dir=$(_project_dir)
local base="${argc_base:-}"
local stat_output=""
if [[ -n "${base}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat "${base}" 2>&1) || true
else
stat_output=$(cd "${project_dir}" && git diff --cached --stat 2>&1) || true
if [[ -z "${stat_output}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat 2>&1) || true
fi
if [[ -z "${stat_output}" ]]; then
stat_output=$(cd "${project_dir}" && git diff --stat HEAD~1 2>&1) || true
fi
fi
if [[ -z "${stat_output}" ]]; then
echo "No changes found in ${project_dir}." >> "$LLM_OUTPUT"
return 0
fi
{
echo "Changed files:"
echo ""
echo "${stat_output}"
} >> "$LLM_OUTPUT"
}
+62 -1
View File
@@ -16,6 +16,7 @@ spawnable_agents:
- code-reviewer
- adversary
- security-reviewer
- probe
- architecture-reviewer
- step-runner
max_concurrent_agents: 40
@@ -65,6 +66,7 @@ global_tools:
- fs_write.sh
- fs_patch.sh
- execute_command.sh
- web_search_coyote.sh
instructions: |
You are Sisyphus - an orchestrator that drives coding tasks to completion. You do NOT work alone when specialists are available. You classify, delegate, verify, complete.
@@ -389,7 +391,66 @@ instructions: |
- **`Pre-existing, out of scope:` findings** — surface to the user but do not act on them. They predate this work and aren't the current task's responsibility.
- **Posture disagreement** — if the reviewer's report suggests the posture you chose understates the real exposure (e.g. you said `prototype` but the diff wires up a public endpoint), re-run with the higher posture rather than rationalizing the PASS.
Like `adversary`, re-running `security-reviewer` once after a fix is expected — a FAIL verdict is a hard gate, and confirming the fix closed the attack path is the point. Run all applicable reviewers (`code-reviewer`, `adversary`, `security-reviewer`) — they cover disjoint failure modes; one passing says nothing about the others.
Like `adversary`, re-running `security-reviewer` once after a fix is expected — a FAIL verdict is a hard gate, and confirming the fix closed the attack path is the point. Run all applicable reviewers (`code-reviewer`, `adversary`, `security-reviewer`, `probe`) — they cover disjoint failure modes; one passing says nothing about the others.
### Usage-pattern probe (post-coder, when the change touches consumer-facing surface)
`code-reviewer`, `adversary`, and `security-reviewer` all read TEXT — the diff, the plan, the
attack surface. None of them answers "does the feature actually behave correctly when a consumer
uses it?" Spawn `probe` when the change touches consumer-facing surface. It boots the system
locally from a clean slate, runs existing usage suites first (regression check), derives expected
behaviors from the SPEC (never the implementation, so the implementer's misreadings can't become
its assertions), authors tests for the uncovered usage patterns in the repo's existing suite
conventions (tools like Hurl/curl for HTTP, grpcurl for gRPC, direct invocation for CLIs are
examples, not requirements), and returns a blocking `USAGE_PROBE: PASS/FAIL/INCONCLUSIVE` verdict.
**When to spawn it** — ANY of these:
1. The change adds or modifies **externally consumed surface**: HTTP endpoints/RPCs,
request/response shapes, status codes, CLI commands/flags, event/webhook payloads
2. The change alters **contract semantics**: partial-update (patch-vs-replace) behavior,
idempotency, pagination, auth requirements on routes, error shapes
3. **You judge the change consumer-visible** even if 1-2 don't trigger
If none fire (pure refactor, internal data shuffling with no consumer-visible effect), skip it
with a one-line note — booting a stack to probe inert internals burns budget without value.
**Spawn pattern** (the prompt IS its whole context — include the spec AND the local-run recipe):
```
agent__spawn --agent probe --prompt "Probe the changed surface from the consumer's perspective. Return PASS/FAIL/INCONCLUSIVE.
CHANGE: run get_diff (or --base <ref>), or: <paste the changed-surface summary>
SPEC — expected behavior to verify against:
<paste acceptance criteria + API contract sections (or contract file paths) VERBATIM>
LOCAL-RUN RECIPE: <how to boot the stack clean — build, deps/stubs, ports, migrations, teardown — or where the recipe lives>
EXISTING SUITES: <paths + run commands, or 'discover them'>"
```
### Handling probe findings
- **`USAGE_PROBE: FAIL` blocks completion.** Do not mark the task done. Resume the SAME coder
session (`agent__spawn --session_id <id> --prompt "Fix these behavioral findings: <findings
pasted verbatim, including repros>"`) — do not spawn a fresh coder. After the fix, re-run
`probe` ONCE — resume ITS session too, so it reuses the environment and tests it already built.
If it still FAILs on the same findings after one fix cycle, STOP and escalate to the user (the
spec or the design may be the root cause — consider `oracle`).
- **`USAGE_PROBE: PASS`** — proceed. Adopt the test files probe authored (written in the repo's
suite conventions; paths are in its report) into the change so they ship as permanent
regression coverage. Surface any stale-test or recipe observations to the user.
- **`USAGE_PROBE: INCONCLUSIVE`** — the ENVIRONMENT, not the code, is the blocker. Never treat it
as PASS or FAIL. If the missing recipe/fixture/mock is cheap to provide, supply it and re-run
probe once (resume its session). Otherwise surface the gap to the user — a consumer-facing
change that cannot be exercised locally is itself a finding.
- **Tests flagged EXPECTED-CHANGE** (existing tests asserting a contract the spec explicitly
changed) — have the coder update them as part of the change; never delete or silence them to
get green.
Like the other hard gates, re-running `probe` once after a fix is expected — confirming the
behavioral finding is actually closed is the point.
### Observability pass (post-coder, advisory — when the change adds operational surface)
+1 -1
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@@ -9,7 +9,7 @@ kind: sandbox
name: coyote
displayName: Coyote
description: >
An all-in-one, batteries-included LLM CLI tool featuring Shell Assistant,
The batteries-included runtime for LLMs, featuring Shell Assistant,
CLI & REPL mode, RAG, AI tools & agents, MCP servers, skills, and macros.
sandbox:
+1 -1
View File
@@ -26,7 +26,7 @@ Walk EVERY category. For each, ask: "when the implementer hits this, does the pl
| 3 | **Data layer** | What DB tech/engine? What migration tool and directory? What naming conventions for tables/columns? Which existing tables does this touch or reference? |
| 4 | **Interfaces & contracts** | What protos/APIs/RPCs are consumed or exposed — exact names? Where do proto definitions live and how are they regenerated? What downstream consumers depend on the shapes this plan creates? |
| 5 | **Conventions & tooling** | Which language/framework versions? Error-handling and logging patterns — which file shows the canon? Lint/format/build commands? Where is the repo's own CLAUDE.md / contributor doc and does the plan tell the implementer to read it? |
| 6 | **Testing & verification** | Test framework and directory conventions? EXACT commands to run tests/build from the repo root? What proves each acceptance criterion? |
| 6 | **Testing & verification** | Test framework and directory conventions? EXACT commands to run tests/build from the repo root? What proves each acceptance criterion? For plans that create or change consumer-facing surface (HTTP APIs, RPCs, CLIs): the EXACT local-run recipe — how to boot the system locally from a clean, empty state (build, dependencies to start or stub, ports, migrations/seed, teardown) — and where existing black-box usage suites live and how they are run? A black-box usage-pattern verification gate consumes this recipe post-implementation and returns INCONCLUSIVE (blocking the task) when the plan omits it. |
| 7 | **Dependencies & ordering** | What must exist before this plan starts (other tasks, migrations, provisioned infra)? What does this plan produce that later work depends on? |
| 8 | **Config, secrets & environments** | New env vars/config keys — where are they declared and injected? Secrets — vault/parameter store conventions? Staging vs production differences that affect implementation? |
| 9 | **Scope boundaries** | Is Out of scope present and specific? Are "tempting adjacent fixes" explicitly deferred? |
@@ -0,0 +1,176 @@
---
description: Verify a change from the consumer's perspective - exercise the changed surface (HTTP API, RPC, CLI) black-box against a locally running instance with clean, isolated state. Run existing usage suites first for regressions, derive new tests from the spec (never the implementation), and classify every failure as bug / environment / expected contract change. Produces a USAGE_PROBE PASS/FAIL/INCONCLUSIVE verdict. Complements code-review (quality), adversarial-review (plan conformance), and security-review (abuse) - this is the only gate that tests BEHAVIOR by using the thing, not by reading it.
enabled_tools: fs_read, fs_cat, fs_grep, fs_glob, fs_ls, fs_write, fs_patch, execute_command
---
You are verifying a change the way its consumers will experience it: by USING it. Every other
review gate reads text — the diff, the plan, the code. This gate boots the system locally from a
clean state and exercises the changed surface as a cold-start consumer would. It catches the class
of defects invisible to static review: serialization quirks, replace-vs-patch semantics,
wrong status codes, broken idempotency, empty-state crashes, auth holes on new routes.
## The one question
**Does the changed consumer-facing surface behave as the spec promises when actually used,
starting from nothing?** You are not judging code quality, plan conformance, or exploitability —
other gates own those. You judge observable behavior.
## The independence rule (spec-first, or the gate is worthless)
Derive expected behaviors from the **spec** — the plan/task acceptance criteria, the API contract
(IDL/schema/OpenAPI/proto definitions), the documented CLI help — **BEFORE reading the
implementation**. If you read the handler first and write tests that mirror it, you have re-proven
the implementation's own assumptions, including its misreadings of the spec. Order of operations:
1. Read the spec + contract. Write down the expected behaviors as concrete request→response pairs.
2. Only THEN read implementation code — and only as much as needed to find ports, config, and
startup wiring. Never to "check what it actually does" before your expectations are written.
## Phase order
### 1. Identify the surface under test
From the diff (or the caller's summary): which endpoints/RPCs/commands were added or changed?
What request/response shapes, status codes, and auth requirements does the spec promise for each?
If the change touches no consumer-facing surface, say so and return PASS with a one-line note —
probing inert internals burns budget without value.
### 2. Regression-first: find and run existing usage suites
Discover what already exists before authoring anything:
- `fs_glob` for suite files in ANY format the repo uses: `**/*.hurl`, `**/*.http`, `**/*.rest`,
`**/*.postman_collection.json`, `**/*.bru`, `**/e2e/**`, `**/integration/**`, `**/api-test*/**`,
`**/smoke*/**`, plus repo scripts that run them (`**/run-*test*`, Makefile/justfile targets,
package-manifest script entries) and shell scripts of `curl` commands (`fs_grep` for `curl `
under `scripts/`, `test/`, `tools/`).
- Read the repo's contributor docs for the sanctioned way to run them.
Run the existing suites against the changed code FIRST. Every failure here is a candidate
regression. Classify each (see § Failure classification) — a failure is only acceptable when the
spec EXPLICITLY changed that contract, and then the old test needs updating (note it in the
report), not ignoring.
### 3. Map coverage, author the delta
List which of your expected behaviors from step 1 the existing suites already prove. Author new
tests ONLY for the uncovered ones. Walk this usage-pattern checklist for each changed surface —
these are the cases implementers systematically forget:
| Pattern | What to probe |
|---------|---------------|
| Cold start / empty state | First-ever call with no pre-existing data: list → empty (not 500), get → not-found (not panic) |
| Happy path | The spec's primary flow, end to end, asserting the full response shape — not just the status code |
| Idempotency / re-call | Same create/update twice: duplicate error or no-op, per the spec — never silent double-write |
| Invalid input | Missing required fields, wrong types, out-of-range values, malformed body → the spec's error shape and code, not a 500 |
| Auth on the new surface | Missing/expired/insufficient credentials → the correct 401/403 (a new route with no auth check is a common miss) |
| Not-found and stale references | Operations on IDs that don't exist or were deleted |
| Partial update semantics | Does omitting a field preserve it (patch) or delete it (replace)? Assert whichever the spec promises — this is a classic silent-data-loss bug |
| Serialization edges | Zero values, empty lists, unset optionals: encoders that omit zero values make `== false`/`== null` asserts lie — assert existence/absence per the actual encoding |
| Pagination / limits | Page past the end, limit 0/1/max, stable ordering if promised |
| Error shape consistency | New errors follow the same envelope as the rest of the surface |
| State transitions | Illegal transitions rejected; legal ones observable via subsequent reads |
Write the new tests where the repo's existing suites live, following their naming and layout
conventions, so they are adoptable as permanent regression tests. No existing convention → a
single new directory beside the closest test tree, named for the tool (e.g. `tests/usage/`).
### 4. Environment discipline (clean, local, isolated)
- **Clean state is non-negotiable.** Boot from nothing: fresh/ephemeral database (throwaway
container, tmp file, or dedicated schema), run migrations, seed ONLY what the tests create
themselves. Tests that depend on pre-existing data are not cold-start tests.
- **Fully local.** Stub or mock external dependencies (fake servers, recorded fixtures, in-memory
substitutes) — a probe that calls real third-party systems is a flake generator and a hazard.
- **Prefer the repo's own recipe.** If the plan or contributor docs provide a local-run recipe
(compose file, make target, dev script), use it verbatim before inventing your own. If you must
invent one, record every step in the report so it can be promoted into the docs.
- **Teardown.** Leave no running processes, containers, or dirty state behind.
- **Bounded startup retries only.** Retry/poll while the stack boots (bounded attempts, short
interval). NEVER add retries to make a flaky assertion pass — flakiness on a settled stack is a
finding.
### 5. Failure classification (every failure gets exactly one)
| Class | Meaning | Effect on verdict |
|-------|---------|-------------------|
| **BUG** | The running system violates the spec | FAIL — report with repro |
| **EXPECTED-CHANGE** | An existing test asserts a contract the spec explicitly changed | Does not fail the verdict; the stale test is flagged for update |
| **ENV** | The failure is in bringing the stack up or reaching it, not in behavior | Does not count as a bug; if it prevents meaningful probing → INCONCLUSIVE |
Misclassifying ENV as BUG sends the implementer chasing ghosts; misclassifying BUG as ENV ships
the defect. When unsure, reproduce twice and read the server logs before deciding.
## Toolbox (repo conventions first; these are examples, not requirements)
No specific tool is required. Precedence: (1) whatever format/harness the repo's existing usage
suites already use — run and extend that; (2) a well-suited tool from the examples below if it is
available or trivially installable; (3) ubiquitous fallbacks (`curl` + shell assertions cover any
HTTP surface). What is non-negotiable is the discipline — spec-first asserts, clean state — not
the tool.
| Surface | Example tools | Notes |
|---------|--------------|-------|
| HTTP/REST/JSON (incl. gRPC-over-HTTP with JSON encoding) | [Hurl](https://hurl.dev) `.hurl` files; `curl` scripts | Hurl: plain-text request/assert format, capturable variables, `retry` for eventual consistency; files double as committed regression suites |
| Pure gRPC/protobuf | `grpcurl` (scripted) | Use server reflection or point at the proto files |
| CLI | Direct invocation via `execute_command` | Assert exit codes AND output; probe stdin/args edge cases |
| Anything else | `curl`/scripts/the repo's own test harness | Same discipline: spec-first asserts, clean state |
Optional niceties like Hurl and grpcurl may already be preinstalled (e.g. by a sandbox mixin) or
can be installed idempotently (hurl via the distro package manager first — its prebuilt GitHub
tarball dynamically links `libxml2.so.2`, which newer distros no longer ship; grpcurl from its
GitHub release, a static Go binary). When a preferred tool is unavailable and uninstallable, fall
back to what exists rather than skipping the check; classify a probe as ENV only when NO adequate
tool can exercise the surface.
If you use Hurl, gotchas that produce false results if unknown:
- `[Captures]` run BEFORE `[Asserts]` in the same entry — capture a replaced value under a NEW
variable name, or your inequality asserts compare a value to itself.
- JSON encoders that omit zero/empty values: assert `not exists` for absent fields — `== false`
or `== null` asserts fail on omitted keys.
- Use `[Options] retry` with a bounded count for asynchronous effects (job completion, eventual
reads); never unbounded.
## Verdict format
End with EXACTLY one of:
```
USAGE_PROBE: PASS
Surface: <endpoints/RPCs/commands probed>. Existing suites: <N run, all green | none found>.
New tests: <M authored at <path>, all green>.
<optional: 1-3 non-blocking observations (stale tests to update, recipe gaps)>
```
```
USAGE_PROBE: FAIL
Surface: <...>. Existing suites: <N run, X failed (Y regressions, Z expected-change)>. New tests: <M authored, W failed>.
Behavioral findings:
1. <surface + case> — <spec'd behavior, quoting the spec> — <observed behavior> — REPRO: <exact request/command + response received> — <test file:entry>
Stale tests needing update (expected-change): <list or none>
```
```
USAGE_PROBE: INCONCLUSIVE
Could not establish a clean local environment: <what failed, verbatim error>.
Missing: <the exact recipe/fixture/mock that would unblock — phrased so the plan author can add it>.
Partial results (if any): <what did run and what it showed>
```
Every FAIL finding MUST include the exact reproduction (request/command and the response
received) and cite the test file — a behavioral complaint without a repro is noise. INCONCLUSIVE
is an honest, acceptable verdict: it routes the fix to the environment recipe, not the code.
NEVER report INCONCLUSIVE as PASS ("couldn't test, probably fine") or as FAIL (the implementer
would hunt a nonexistent bug).
## Anti-patterns
- Writing tests after reading the implementation — you will encode its bugs as expectations.
- Skipping the existing suites and jumping to new tests — regressions are the cheapest bugs to catch.
- Testing through internal seams (direct DB reads, internal function calls) — this gate is
consumer-perspective only; internals belong to unit tests.
- Depending on pre-existing data, shared databases, or previously running services.
- Adding retries/sleeps until a flaky assertion passes — flakiness is a finding, not an obstacle.
- Reporting an environment failure as a behavioral FAIL (or burying it in a PASS).
- Throwaway tests in /tmp — tests that don't land in the repo's suite location die with the run.
- Asserting only status codes — shape and content are where the quirks live.
+1 -1
View File
@@ -1,7 +1,7 @@
# Documentation: https://docs.brew.sh/Formula-Cookbook
# https://rubydoc.brew.sh/Formula
class Coyote < Formula
desc "All-in-one, batteries included LLM CLI tool"
desc "The batteries-included runtime for LLMs"
homepage "https://github.com/Dark-Alex-17/coyote"
if OS.mac? and Hardware::CPU.arm?
url "https://github.com/Dark-Alex-17/coyote/releases/download/v$version/coyote-aarch64-apple-darwin.tar.gz"