meta-feedback

meta-feedback is a skill for Claude Code from modu-ai/moai-cowork. It costs 61 tokens per session (670 once invoked), scanned A, original, Apache-2.0.

A feedback reporter that collects bug reports and feature requests, then formats them as GitHub Issues. GitHub Issues are shared records used by development teams to track work and problems.

In plain words
What is it for?
Use it to classify feedback, gather missing information, prepare an issue preview, and create a labelled issue after approval.
Why use it?
It turns vague complaints into structured, reviewable reports with the details developers need to reproduce or evaluate them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the moai-coworker plugin — 32 skills shipped together

Good fit Use it to classify feedback, gather missing information, prepare an issue preview, and create a labelled issue after approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-cowork/meta-feedback
Install

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.

Any agent
npx skills add modu-ai/moai-cowork --skill meta-feedback
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-coworker, the plugin that ships this one along with the rest of its 32 skills.

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 meta-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-cowork/meta-feedback/github.svg)](https://agentmods.dev/skills/modu-ai/moai-cowork/meta-feedback)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/meta-feedback"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/meta-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.

agentmods 80×15 button for meta-feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/meta-feedback"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/meta-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 670 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00061 $0.00670
Opus 5.5 $0.00024 $0.00268
Sonnet 5.5 $0.00012 $0.00134
Haiku 4.5 $0.00006 $0.00067

Measured 19d ago against content hash ef5bd7197d19, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meta-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 19d 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.

plugins/moai-coworker/skills/meta-feedback/SKILL.md · 44 lines

What it actually says

플러그인 피드백

modu-ai/moai-cowork 플러그인에 관한 버그·개선 요청을 기록한다. 단순 사용법 질문은 해당 플러그인의 안내로 연결한다. 사용자가 등록을 요청했다면 필요한 내용을 정리해 진행한다. 초안만 요청한 경우에는 등록하지 않는다.

진행 순서

  1. 대상 확인: 어느 플러그인·스킬인지, 사용한 앱과 운영체제, 버전, 문제 상황을 제공된 정보에서 추출한다. 모르는 항목은 미확인으로 둔다.
  2. 증거 정리: 버그는 재현 절차·기대 동작·실제 결과·오류 메시지를 구분한다. 기능 제안은 사용 시나리오와 원하는 동작을 적는다. 재현하지 않았다면 재현 확인을 주장하지 않는다.
  3. 민감 정보 제거: 토큰, 개인 정보, 고객 문서 원문을 공개 이슈에 넣지 않는다. 공개하기 어려운 보안 취약점은 저장소의 현재 보안 제보 경로를 확인해 안내한다.
  4. 중복 확인: 접근 가능한 GitHub 이슈에서 같은 문제를 검색한다. 중복이면 기존 이슈와 차이를 정리한다.
  5. 등록: 사용자의 등록 요청과 GitHub 권한이 있으면 이슈를 생성한다. 앱이나 연결 도구에 이슈 생성 기능이 있으면 이를 사용하고, CLI를 쓴다면 GitHub CLI 공식 gh issue create 문서의 --body-file로 본문 파일을 전달한다. 레이블은 실제 저장소에 있는 것만 붙인다.
  6. 확인: 생성 결과의 번호·URL을 읽어 보고한다. 생성 명령이 모호하게 실패했다면 같은 제목의 이슈를 먼저 조회하고 중복 생성하지 않는다.

이슈 본문

## 대상과 환경
- 플러그인·스킬:
- 앱·운영체제·버전:

## 문제 또는 제안
[사용자가 설명한 내용]

## 재현 절차와 관찰 결과
[버그인 경우에만, 확인되지 않은 단계는 미확인 표시]

## 기대 동작
[사용자 기대]

## 추가 자료
[공개 가능한 로그·화면·관련 이슈]

GitHub 연결이나 권한이 없으면 등록하지 못했다는 사실과 함께 복사 가능한 초안 및 https://github.com/modu-ai/moai-cowork/issues/new를 제공한다. 이슈 생성 전후 상태를 혼동하지 않는다.

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. 19d ago Changed · +1 lines ef5bd7197d19
  2. 1mo ago Changed · -142 lines · -64 tokens per session 6a273572b104
  3. 1mo ago First seen · 185 lines · 125 tokens per session scan A a48f5d2078f1

Subscribe to this mod's changes

meta-feedback is a skill published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 17d ago), licensed Apache-2.0. It adds 61 tokens to every session and 670 once invoked, about $0.0002 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 2026-09-03.