meta-feedback

meta-feedback is a skill for Claude Code from modu-ai/moai-cowork. It costs 125 tokens per session (1,619 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. Also seen: names the AskUserQuestion tool.

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 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,619 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 $0.00125 $0.01619
Opus 5 $0.00063 $0.00809
Sonnet 5 $0.00025 $0.00324
Haiku 4.5 $0.00013 $0.00162

Measured 7d ago against content hash a48f5d2078f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 7d 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 · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feedback — 피드백 수집 및 GitHub Issues 등록

개요

사용자의 버그 리포트 또는 기능 요청을 구조화된 인터뷰를 통해 수집하고, GitHub Issues에 자동 등록합니다. 모두의 코워크 저장소(modu-ai/moai-cowork)의 이슈를 관리하며, 명확한 문제 정의와 재현 가능한 정보를 수집하는 데 중점을 둡니다.

트리거 키워드

버그 신고, 기능 요청, 피드백, 개선 요청, 이슈 등록, 문제 신고, bug report, feature request, /project feedback

워크플로우

1단계: 분류 — 버그 vs 기능 요청 판별
2단계: 수집 — AskUserQuestion으로 필수 정보 수집
3단계: 확인 — 이슈 미리보기 → 사용자 승인
4단계: 등록 — gh issue create로 GitHub Issues 등록
5단계: 완료 — 이슈 URL 전달

1단계: 분류

사용자 메시지에서 유형을 판별합니다:

유형 판별 기준 레이블
버그 "안 돼", "오류", "에러", "깨져", "문제", "bug" bug
기능 요청 "추가해줘", "있으면 좋겠", "기능 요청", "feature" enhancement
불명확 위 키워드 없음 AskUserQuestion으로 확인

2단계: 정보 수집

AskUserQuestion으로 필수 정보를 수집합니다. 자연어 메시지에 충분한 정보가 포함되어 있으면 인터뷰를 생략합니다.

버그 리포트 수집 항목:

항목 필수 설명
관련 플러그인/스킬 O 어떤 플러그인에서 발생했는지
증상 O 무엇이 잘못되었는지
재현 절차 O 어떻게 하면 재현되는지
기대 동작 - 정상이라면 어떻게 되어야 하는지

기능 요청 수집 항목:

항목 필수 설명
관련 플러그인/스킬 O 어떤 플러그인에 추가할지
요청 내용 O 어떤 기능이 필요한지
사용 시나리오 - 어떤 상황에서 필요한지

3단계: 이슈 미리보기

수집한 정보를 이슈 형식으로 구성하여 사용자에게 확인 요청:

버그 리포트 템플릿:

## 버그 설명
[증상 요약]

## 재현 절차
1. [절차]

## 기대 동작
[정상 동작 설명]

## 환경
- 플러그인: [플러그인명]
- 스킬: [스킬명]

기능 요청 템플릿:

## 기능 설명
[요청 내용]

## 사용 시나리오
[어떤 상황에서 필요한지]

## 관련 플러그인
- [플러그인명]

AskUserQuestion으로 "등록하시겠습니까?" 확인합니다. 선택지: "등록" / "수정 후 등록" / "취소"

4단계: GitHub Issues 등록

gh CLI로 이슈를 생성합니다:

gh issue create \
  --repo modu-ai/moai-cowork \
  --title "[{레이블}] {제목}" \
  --body "{본문}" \
  --label "{레이블}"

레이블 매핑:

  • 버그 → bug
  • 기능 요청 → enhancement

플러그인명이 명확하면 추가 레이블: plugin:{플러그인명} (예: plugin:moai-coworker)

5단계: 완료 보고

이슈 생성 결과를 사용자에게 전달합니다:

  • 이슈 번호와 URL
  • "감사합니다. 피드백이 등록되었습니다." 메시지

gh CLI 인증 실패 시

gh CLI가 없거나 인증되지 않은 환경에서는:

  1. 이슈 본문을 마크다운으로 출력
  2. GitHub Issues 페이지 직접 링크 제공: https://github.com/modu-ai/moai-cowork/issues/new
  3. "복사하여 직접 등록해 주세요" 안내

Read the full file on GitHub · 185 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. 7d 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 (300 stars, last pushed 7d ago), licensed Apache-2.0. It adds 125 tokens to every session and 1,619 once invoked, about $0.0006 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 2026-09-03.