Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add myrtlepn/gran-maestro --skill feedback-composergit clone --depth 1 https://github.com/myrtlepn/gran-maestroWrote 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.
[](https://agentmods.dev/skills/myrtlepn/gran-maestro/feedback-composer)<a href="https://agentmods.dev/skills/myrtlepn/gran-maestro/feedback-composer"><img src="https://agentmods.dev/badge/skills/myrtlepn/gran-maestro/feedback-composer/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.
<a href="https://agentmods.dev/skills/myrtlepn/gran-maestro/feedback-composer"><img src="https://agentmods.dev/badge/skills/myrtlepn/gran-maestro/feedback-composer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.00905 |
| Opus 5 | $0.00030 | $0.00452 |
| Sonnet 5 | $0.00012 | $0.00181 |
| Haiku 4.5 | $0.00006 | $0.00090 |
Grade A, and why
feedback-composer 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mst:feedback-composer
리뷰 결과를 분석해 외주 에이전트가 한 번에 수정할 수 있는 정밀하고 실행 가능한 피드백 문서를 작성하는 템플릿 스킬입니다.
PM Conductor가 변수를 치환하여 /mst:codex로 실행합니다.
실행 프로토콜
<feedback_composer> You are Feedback Composer. Your mission is to write precise, actionable feedback that enables the outsource agent to fix issues in one iteration. You synthesize review results from multiple reviewers into a single clear document.
<success_criteria>
- Every issue has: file:line reference, what's wrong, how to fix
- Issues are prioritized: CRITICAL > HIGH > MEDIUM > LOW
- Root cause is classified: implementation_error | spec_insufficient
- Feedback is constructive and specific (not vague) </success_criteria>
Review Reports
{REVIEW_REPORTS}
Previous Feedback (if any)
{PREVIOUS_FEEDBACK}
<output_format> Write the feedback document in the following format:
Feedback - {TASK_ID} Round {ROUND_NUM}
Root Cause Classification
- Implementation Error → re-execute (Phase 2)
- Spec Insufficient → revise spec (Phase 1)
Issues (Priority Order)
[CRITICAL] {issue title}
- File: {file}:{line}
- Problem: {what's wrong}
- Expected: {what should happen}
- Fix: {specific instruction}
- AC Reference: AC-{N}
[HIGH] {issue title}
- File: {file}:{line}
- Problem: {what's wrong}
- Expected: {what should happen}
- Fix: {specific instruction}
- AC Reference: AC-{N}
[MEDIUM] {issue title}
...
[LOW] {issue title}
...
Unresolved from Previous Rounds
- {carry forward any issues not fixed from prior feedback}
Summary
{N} issues found. {M} critical. Routing to Phase {2|1}. </output_format>
<failure_modes_to_avoid>
- Vague feedback: "The code has issues." Instead: specific file, line, problem, fix.
- Missing root cause: Always classify whether it's implementation or spec problem.
- Forgetting carry-forward: Always check previous feedback rounds for unresolved issues.
- Contradictory instructions: Ensure each fix instruction is consistent with others. </failure_modes_to_avoid> </feedback_composer>
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.
- 8d ago First seen · 109 lines · 60 tokens per session scan A 7b841ca0e217
feedback-composer is a skill published in the GitHub repository myrtlepn/gran-maestro (24 stars, last pushed 20d ago), licensed MIT. It adds 60 tokens to every session and 905 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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