IrredenEngine: Skill for Claude Code

.claude/skills/review-fleet-feedback/SKILL.md

review-fleet-feedback is a skill for Claude Code from jakildev/IrredenEngine. It costs 136 tokens per session (1,488 once invoked), scanned A, original, MIT.

A skill that reads new agent-to-human feedback files, groups repeated problems, proposes concrete changes, and checks whether earlier fixes stopped the same problems recurring. It keeps review state in local files outside the repository.

In plain words
What is it for?
Use it to digest feedback, identify repeated snags, propose changes to role documents or scripts, apply approved fixes, and review recurrence history. It also reports when no feedback is available.
Why use it?
It turns scattered feedback into tracked improvement work instead of losing recurring issues in individual messages. A closed-loop check shows whether an applied fix actually helped.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: names the AskUserQuestion tool.

This is jakildev/IrredenEngine's own configuration. It tells Claude Code how to work on IrredenEngine itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything IrredenEngine configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jakildev/IrredenEngine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jakildev/IrredenEngine/master/.claude/skills/review-fleet-feedback/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jakildev/IrredenEngine

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review-fleet-feedback

README.md
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Your own site
<a href="https://agentmods.dev/skills/jakildev/irredenengine/review-fleet-feedback"><img src="https://agentmods.dev/badge/skills/jakildev/irredenengine/review-fleet-feedback/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 136 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,488 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00136 $0.01488
Opus 5.5 $0.00054 $0.00595
Sonnet 5.5 $0.00027 $0.00298
Haiku 4.5 $0.00014 $0.00149

Measured 2d ago against content hash e06dcffbed14, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-fleet-feedback scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/review-fleet-feedback/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

review-fleet-feedback

The deterministic work lives in scripts/fleet/review-fleet-feedback; this skill runs it, reads its JSON, and separates two kinds of decisions:

  • Mechanical transitions (pending_mutations in the digest — merged-PR flips, 7-day auto-closures, recurrence flags): applied without asking; the script detected them from GitHub state.
  • Human-judgment decisions (which new proposals to log, whether to drop a proposed fix): asked.

Both go back through the script's apply. Signature parsing lives in the script's SIGNATURES table, never in this skill body.

State, all under ~/.fleet/feedback/ and never committed: <role>.md (source entries, read-only here), .last-reviewed (ISO watermark), .fix-log.jsonl (one JSON object per line; tolerates manual edits). If the directory is missing or empty, report "no fleet feedback yet" and exit.

Flow

  1. Digest. scripts/fleet/review-fleet-feedback digest > /tmp/fleet-digest.json. Fields: clusters (count ≥ 2 by signature, with examples and all), singletons (never proposable), recurring (applied fixes with entries after applied_at), still_proposed, closed_this_run (applied fixes quiet ≥ 7 days), fresh_proposable (clusters with no open fix-log row), pending_mutations, fix_log_counts. total_entries == 0 → skip to step 5 (still print the open fix-log and bump — the contract is "seen", not "fixed").
  2. Proposals. One paragraph per fresh_proposable cluster naming the concrete artifact to change (a file path or script) and any cross-refs. A proposal that cannot name an artifact says so and tags the cluster needs-investigation. One occurrence is noise; two is a pattern.
  3. Present, most urgent first:
    RECURRING (previous fixes didn't close the loop):
      ! fix-NNN (<signature>) — <N> occurrences since applied <date>
    
    STILL PROPOSED (not yet applied, still recurring):
      · fix-NNN (<signature>) — <N> new occurrences since proposed <date>
    
    NEW PROPOSALS:
      1. [Nx] <signature>
         <proposal text>
    
    CLOSED THIS RUN (no recurrence in ≥7d):
      ✓ fix-NNN (<signature>) — closed after <N>d clean
    
    Open fix-log: <P> proposed, <A> applied, <R> recurring, <C> closed.
    
    List 3–5 interesting singletons in a collapsed block at most.
  4. Reconcile. Mechanical transitions go into the decisions JSON unconditionally. Ask only for: ≤ 4 new proposals → one AskUserQuestion with each as a multi-select option; > 4 → one bulk question (log all / top N / none / let me pick); manual drops and manual applied-confirms only when the human raises them or a still_proposed row is ≥ 30 days old (batch still-proposed / drop when > 3). recurring fixes need a fresh proposal, not a status flip — say so.
  5. Apply and bump. Write the decisions JSON (apply --schema prints the schema, including the pending_mutations), then:
    scripts/fleet/review-fleet-feedback apply --decisions /tmp/fleet-decisions.json
    scripts/fleet/review-fleet-feedback bump
    
    If anything errored before this step, do not bump — a stale marker re-surfaces the entries next run.
  6. (Optional) file tasks. To hand proposals to the human:approved → fleet-queue-ingest → worker pipeline:
    scripts/fleet/review-fleet-feedback file-tasks --dry-run
    scripts/fleet/review-fleet-feedback file-tasks [--ids fix-001,fix-003]
    
    Each proposed row without a tracking_issue becomes a human:approved issue quoting the proposal and three representative entries; the URL is written back to the row, and a merged Closes #N PR flips it to applied on the next digest. Confirm with the human first — these are public issues; default to --dry-run.
  7. Summary. Reviewed N entries since <date> (C clusters, S singletons). M new proposals logged, K previously proposed resolved, L auto-closed. Marker bumped to <ts> UTC. Open fix-log: <counts>.

Read the full file on GitHub · 115 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 115 lines · 136 tokens per session scan A e06dcffbed14

Subscribe to this mod's changes

review-fleet-feedback is a skill published in the GitHub repository jakildev/IrredenEngine (10 stars, last pushed today), licensed MIT. It adds 136 tokens to every session and 1,488 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-07.

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