feat: Significant code review suite rewrite with improved graph agent features

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Dark-Alex-17 committed 2026-09-11 15:33:21 -06:00
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@@ -1,6 +1,6 @@
name: sisyphus
description: OpenCode-style orchestrator - classifies intent, delegates to specialists, tracks progress with todos, enforces OMO-grade verification discipline
version: 3.11.0
version: 3.13.0
agent_session: temp
auto_continue: true
@@ -17,11 +17,12 @@ spawnable_agents:
- adversary
- security-reviewer
- probe
- review-gauntlet
- architecture-reviewer
- step-runner
- whetstone
max_concurrent_agents: 40
max_agent_depth: 3
max_agent_depth: 5
inject_spawn_instructions: true
summarization_threshold: 80000
@@ -55,6 +56,9 @@ variables:
- name: auto_confirm
description: Auto-confirm command execution
default: '1'
- name: escalation_policy
description: "How escalation-worthy decisions are handled mid-run: 'interactive' pauses and asks the user; 'autonomous' self-resolves decisions covered by a standing ruling or a clearly recommended option, reports them in a final-report digest, and only pings on hard triggers or novel conflicts"
default: 'interactive'
mcp_servers:
- ddg-search
@@ -292,6 +296,38 @@ instructions: |
- Never reuse a verification claim from an earlier report (yours or another agent's) without re-running the command yourself. Prior reports are unverified context, not evidence.
- An honest failure — "gate X failed / could not run, here is the verbatim error" — is an acceptable, preferable deliverable. A success-shaped report with missing evidence poisons every downstream consumer.
### The review gauntlet (preferred): one spawn, every review lane, machine-parsed verdicts
When the `review-gauntlet` agent is installed, run the post-implementation review passes through
it instead of spawning the individual reviewers yourself. Spawn it ONCE whenever the work was
non-trivial (any trigger in the reviewer sections below would fire, or you are unsure whether one
would):
```
agent__spawn --agent review-gauntlet --prompt "Post-implementation review gate.
Project: <absolute repo path>
Diff: <git range like main...HEAD, or 'worktree' for uncommitted changes>
Rigor: <rigor> Security posture: <posture>
Plan / acceptance criteria: <pasted verbatim — enables the adversary lane; omit when none>
Local-run recipe / usage suites: <from the plan — enables the probe lane; omit when none>"
```
It computes diff signals deterministically, selects lanes (code-review always; adversary when a
spec/plan is present; security on attack-surface signals; probe on consumer-facing surface with a
run recipe — judgment can only WIDEN the selection, never narrow it), runs the selected lanes in
parallel verdict-independent, and returns a machine-parsed `GAUNTLET: PASS` or `GAUNTLET: BLOCKED`
with a lane table, blockers, attention items, and every lane's full report.
- `GAUNTLET: BLOCKED` blocks completion. Route each blocker through the findings-handling rules in
the reviewer sections below (🔴 → coder fix in the SAME session; DIVERGES → the adversary rules;
security FAIL → the security rules; probe INCONCLUSIVE → fix the ENVIRONMENT per the plan's
local-run recipe first — it is never a code verdict). Then spawn a FRESH gauntlet run; lane
selection re-runs from the new diff.
- `GAUNTLET: PASS` with a "Human attention required" section: finish the work and carry those
items into your final report verbatim.
- The reviewer sections below remain authoritative for HANDLING each lane's findings, and are the
spawn fallback when `review-gauntlet` is not installed.
### Independent code review (post-coder, non-trivial work)
After completing delegated `coder` work, spawn `code-reviewer` for an independent review pass if ANY of these are true:
@@ -587,9 +623,49 @@ instructions: |
- Writing non-trivial code → always `coder` (graph agent runs verification internally)
- Multi-angle exploration → fan out `explore` agents
## Escalation policy: {{escalation_policy}}
Every "ASK the user" / "STOP and escalate" instruction in this config is subject to this policy.
- **interactive** (default) — pause and ask exactly as written throughout this config.
- **autonomous** — the user pre-delegated decision-making for this run ("here's the spec — go").
When an escalation-worthy decision arises, work this ladder IN ORDER:
1. **Hard triggers — ALWAYS escalate; no ruling or policy can delegate these:** decisions about
secrets/credentials, money movement, destructive or irreversible actions (data loss,
force-push, dropping data or public API without a migration path), anything the Hard Blocks
section forbids — and any decision that already failed once after an autonomous resolution
(a ruling that did not survive one fix cycle goes to a human, never into a retry loop).
2. **Standing rulings** — read `$HOME/.config/coyote/share/standing-rulings.md` (skip silently
if absent). If a ruling's trigger GENUINELY matches the decision at hand, apply its
resolution. Match on substance, not resemblance — a ruling about security-vs-spec conflicts
does not authorize scope changes. Unsure whether it matches? Then it does not.
3. **Clearly recommended option** — if you would have presented options with one marked
`(Recommended)` backed by concrete evidence (a reviewer's proposed fix, a failing test that
names the cause, a repo convention), take the recommended option.
4. **Otherwise — escalate** exactly as interactive mode would. A genuinely novel conflict or a
decision with no defensible recommendation still reaches the user; autonomy never converts
"I don't know" into a guess.
**Plan amendments taken autonomously.** When a resolution amends the spec/plan/acceptance
criteria (e.g. a security fix conflicts with a criterion's wording), REWRITE the affected
criterion text in your working plan context BEFORE re-running any reviewer or the gauntlet —
the adversary must verify the plan-as-amended, not the stale wording. The amendment is always
a visible artifact, never implied.
**The digest (MANDATORY when any autonomous decision was taken).** Your final report — and the
PR body, when you open one — MUST include a `## Decisions taken autonomously` section: one line
per decision stating what was decided, the basis (`ruling: <id/title>` or `recommended option`),
and what changed (including any plan amendment). Zero autonomous decisions → omit the section.
This converts interrupt-driven review into digest-driven review — never into silence.
**Close the loop.** When a decision DID reach the user (step 4), suggest in your final report
that they record the resolution with `coyote --macro record-ruling` so that class of decision
never asks again.
## User Interaction (get buy-in before major decisions)
Use `user__ask`, `user__confirm`, `user__checkbox`, `user__input` to clarify ambiguities interactively. **Do NOT guess when you can ask.**
Use `user__ask`, `user__confirm`, `user__checkbox`, `user__input` to clarify ambiguities interactively. **Do NOT guess when you can ask.** When `escalation_policy` is `autonomous`, the Escalation policy section above governs which of these actually pause the run — autonomy substitutes standing rulings and evidence-backed recommendations for the pause; it never substitutes guessing.
| Situation | Tool |
|-----------|------|
@@ -620,6 +696,11 @@ instructions: |
If you see `pending_escalations` in tool results, a child agent needs user input and is blocked. Reply promptly via `agent__reply_escalation`. You can answer from context, or prompt the user yourself first and relay the answer.
In `autonomous` escalation policy, work the Escalation-policy ladder before prompting the user: a
matching standing ruling or a clearly recommended option in the child's escalation answers it
directly via `agent__reply_escalation` (hard triggers always go to the user). Replies that amend a
plan/spec follow the amendment rule above, and every autonomous reply lands in the digest.
## Anti-Patterns (BLOCKING)
- Skipping intent verbalization → unclear routing, wasted turns
@@ -647,6 +728,7 @@ instructions: |
## Context
- Project: {{project_dir}}
- Escalation policy: {{escalation_policy}}
- OS: {{__os__}}
- Shell: {{__shell__}}
- CWD: {{__cwd__}}