diff --git a/Agents.md b/Agents.md
index 37add57..2dac67a 100644
--- a/Agents.md
+++ b/Agents.md
@@ -871,7 +871,9 @@ Coyote comes packaged with some useful built-in agents:
    tracked on disk in a `plans/` directory), spawns one `sisyphus` per task on a single run branch with a
    per-task `adversary` conformance check (plus a `probe` usage-pattern check when the task changes
     consumer-facing surface), and finishes with ONE draft PR, CI checks watched to green,
-   plus follow-up task files for every manual action the code can't do for itself. Supports opt-in
+   plus follow-up task files for every manual action the code can't do for itself. Ends with a
+   `whetstone` continuous-improvement pass when the run addressed review feedback from outside its
+   own lanes. Supports opt-in
    worktree-based parallel task execution. Plans declare a quality bar: `rigor` (poc/prototype/production)
    plus the `surfaces` being built (rest-api, cli, library, worker, iac, db-migration, frontend, ci-cd, or
    `other:<label>` via a design-time `librarian` lookup), which flows into every downstream reviewer, with
@@ -898,6 +900,12 @@ Coyote comes packaged with some useful built-in agents:
    review skills (`rest-api-review`, `cli-review`, `library-review`, `worker-review`, `iac-review`,
    `migration-review`, `cicd-review`), whose findings carry `[convention]`/`[correctness]` markers used for
    rigor folding and the evidence-cited rejection protocol downstream.
+* `finding-verifier`: A graph-based fact-checker for code-review findings (used by the `code-reviewer` agent).
+   Maps over a review's 🔴/🟡 findings in parallel, fresh context per finding, so the verifier inherits none of
+   the reviewer's assumptions, re-reads the cited code, and returns `VERIFIED` (with quoted evidence), `FALSE`
+   (only with proof, e.g. the "missing" guard exists at another path:line), or `UNVERIFIABLE` (kept, marked).
+   It never re-judges severity. It only tests whether a claim is true. `code-reviewer` uses the verdicts to
+   drop provably-false findings before the final report; dropped findings are tallied, never silently vanished.
 * `gatekeeper`: A plan self-containedness gate (via the `plan-gatekeeping` skill). Audits a plan against
    the "sealed container" standard, meaning every question a context-free implementer will hit is either answered
    inline or delegated via a VERIFIED pointer to the exact code/docs that answer it (where infra code goes,
@@ -929,11 +937,13 @@ Coyote comes packaged with some useful built-in agents:
    Designed to be delegated to by `sisyphus` alongside `code-reviewer` and `adversary`.
 * `sisyphus`: A powerhouse orchestrator agent for writing complex code and acting as a natural language interface for 
    your codebase (similar to ClaudeCode, Gemini CLI, Codex, or OpenCode). Uses sub-agent spawning to delegate to 
-   `explore`, `librarian`, `coder`, `oracle`, `code-reviewer`, `adversary`, `security-reviewer`, `probe`, and `step-runner`. On 
+   `explore`, `librarian`, `coder`, `oracle`, `code-reviewer`, `adversary`, `security-reviewer`, `probe`, `step-runner`, and `whetstone`. On 
    non-trivial work it runs up to four complementary independent review passes: `code-reviewer` for code quality, 
    `adversary` for plan conformance, and `security-reviewer` for exploitability when the change touches attack 
    surface, and `probe` for black-box usage-pattern verification when the change touches
-   consumer-facing surface. Also supports plan-driven workflows: authoring phased implementation plans (via the `plan-authoring` 
+   consumer-facing surface. After a run that addressed review feedback from outside its own lanes (humans,
+   or a teammate's independent review agent), it spawns `whetstone` once to fold the review misses back into
+   the suite as user-approved improvements. Also supports plan-driven workflows: authoring phased implementation plans (via the `plan-authoring` 
    skill), having `oracle` review them, and executing them one reviewed step at a time. Handles review findings
    quality-bar-aware: the plan's `rigor` calibrates which severities block (🔴 always does) and maps to a default
    `security_posture`; below-threshold `[convention]` findings defer into follow-ups instead of blocking; and a
@@ -946,6 +956,16 @@ Coyote comes packaged with some useful built-in agents:
    sweep -> optional independent review (`code-reviewer`) -> evidence-backed handoff -> hard-stop user approval gate. 
    Returns `STEP_COMPLETE`/`STEP_BLOCKED`/`STEP_REJECTED`/`STEP_FAILED` to the caller. Designed to be delegated to by 
    `sisyphus`.
+* `whetstone`: A continuous-improvement agent for the review suite; the review suite reviews code; whetstone
+   reviews the review. Spawned by `sisyphus` and `architect` at the end of a run that addressed review feedback
+   from outside the run's own lanes (humans, or a teammate's independent review agent, never its own suite's
+   output; third-party agent findings count only when the author actually addressed them). Classifies each piece
+   of feedback as CATCH/PARTIAL/MISS against what the suite's own reviewers flagged, then generalizes the misses:
+   taste is dropped, one-offs go to a candidates inbox, org-specific classes become review-miss ledger entries,
+   and general classes are drafted as suite edits in house style. Everything is applied only with user approval,
+   and edits go where the suite lives: a configured `suite_repo` (then optionally mirrored to the live config,
+   drift-guarded), or directly into the live config with per-file backups when no repo is set. Additive only;
+   it never weakens an existing rule.
 
 Coyote writes these built-in agents to your agents directory on first run and never overwrites them afterward, so any
 edits you make to them are preserved across Coyote updates. To discard your local changes and reinstall the built-in
diff --git a/Skills.md b/Skills.md
index 639043b..be00b19 100644
--- a/Skills.md
+++ b/Skills.md
@@ -414,6 +414,7 @@ Coyote ships with thirty-five built-in skills, installed automatically on first
 | `adversarial-review`  | `fs_read, fs_grep, fs_glob, fs_cat, fs_ls`                               | Adversarial plan-conformance review of an *implementation* against the plan it should satisfy (skipped criteria, scope drift, interface substitution); verdict `CONFORMS`/`DIVERGES`. Complements `code-review` (quality) and is the post-implementation counterpart to `plan-review`. |
 | `plan-gatekeeping`    | `fs_read, fs_grep, fs_glob, fs_cat, fs_ls`                               | Gatekeep a plan for *self-containedness* before finalization: the "sealed container" test — every implementer question answered inline or via a verified pointer; verdict `PLAN_GATE: SEALED`/`LEAKY` with the missing questions. |
 | `usage-pattern-testing` | `fs_read, fs_cat, fs_grep, fs_glob, fs_ls, fs_write, fs_patch, execute_command` | Black-box verification of a change's consumer-facing surface (HTTP APIs, RPCs, CLIs) against a locally running instance with clean state: run the repo's existing usage suites first (regression check, whatever their format, e.g. Hurl files, curl scripts, collections), then author spec-first tests for the uncovered delta in the repo's suite conventions (tools like Hurl/grpcurl are examples, not requirements); every failure classified BUG / EXPECTED-CHANGE / ENV; verdict `USAGE_PROBE: PASS`/`FAIL`/`INCONCLUSIVE`. The only review gate that tests *behavior* by using the thing, not reading it. |
+| `review-misses`       | none (knowledge-only)                                                    | The review-miss ledger: escaped defects (bugs that survived review and were caught later) recorded as reusable detection patterns in `~/.config/coyote/share/review-misses.md`. Review orchestrators load the skill, read the ledger, and route matching entries to reviewers as first-class checks. The feedback loop that makes the review stack converge instead of plateau. Companion macros: `record-miss` (record one escape) and `mine-review-misses` (batch-mine PR history); `whetstone` also writes entries. |
 | `design-session`      | `fs_read, fs_grep, fs_glob, fs_ls, fs_cat, fs_write`                     | AI-first design decomposition: ground a design doc in the actual codebase, produce a PLAN file with approach, alternatives, and a ~1-engineer-day task breakdown with measurable acceptance criteria. Includes a quality-bar round declaring `rigor` (poc/prototype/production) and `surfaces`, which calibrate every downstream review gate. |
 | `task-tracking`       | `fs_read, fs_grep, fs_glob, fs_ls, fs_cat, fs_write, fs_patch, fs_mkdir` | File-based task tracking for plan-driven runs: TASK-NNN directory schema (`index.md` + append-only `log.md`), frontmatter lifecycle, numbering, follow-up tasks, and end-of-run consistency checks. |
 | `step-implementation` | `execute_command`                                                        | End-to-end protocol for executing one step of a phased implementation plan. |