Agent skill

Agent Review

by DmNote-App in DmNote-App/DmNote

독립 서브에이전트의 적대적 코드 리뷰. An agent skill from DmNote-App/DmNote.

GPL-3.0Auto-check passed

Install Agent Review

skills CLI
$ npx skills add DmNote-App/DmNote --skill agent-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DmNote-App/DmNote agent-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DmNote-App/DmNote.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/agent-review .claude/skills/agent-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-review
GitHub stars
2.8k
Token cost
~307 tokens
SKILL.md length
95 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
GPL-3.0

At a glance

독립 서브에이전트의 적대적 코드 리뷰. An agent skill from DmNote-App/DmNote.

  • Works in 5 steps: 리뷰 전에 자동 검증(type-check·lint·test,… → git diff --stat과 codebase-memory의… → Agent(general-purpose, model 생략해 메인 상속,… → …
  • SKILL.md covers 리뷰어 프롬프트 and 출력
  • Calls git

What it does

Agent Review is an agent skill from DmNote-App/DmNote. 독립 서브에이전트의 적대적 코드 리뷰. 저장·복구, 동시성, IPC 계약처럼 실패 비용이 큰 변경에 사용자가 직접 호출.

Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Make it yours. A customizable key viewer for DJMAX RESPECT V and any game. The licence is GPL-3.0.

Example prompts

  • “/agent-review”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 리뷰 전에 자동 검증(type-check·lint·test, clippy)을 먼저 통과시킨다. 리뷰어는 도구가 못 잡는 로직·동작에 집중한다.
  2. git diff --stat과 codebase-memory의 detect_changes·trace_call_path로 변경 범위와 영향 범위를 파악한다.
  3. Agent(general-purpose, model 생략해 메인 상속, 백그라운드)에게 아래 프롬프트로 리뷰를 맡긴다. 결과가 오기 전에는 리뷰 대상 파일을 편집하지 않는다.
  4. CRITICAL·HIGH는 메인이 직접 수정하고 검증을 재실행한다. 방어 코드 추가나 컨벤션(let _ = store.update(...))에 대한 지적은 생략하고, 보류한 항목은 보고에 남긴다.
  5. 서브에이전트가 실패하면 그 사실을 명시하고 메인이 직접 diff를 리뷰한다. 후속 질문은 SendMessage로 같은 에이전트에 한다.

What it can do on your machine

Read from SKILL.md and the folder at commit baac1e8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Review loads about 307 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 95 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~307

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DmNote-App/DmNote at commit baac1e8, republished under its GPL-3.0 licence (© DmNote-App). 95 words, ~307 tokens.

Download SKILL.mdSave it as .claude/skills/agent-review/SKILL.md (or your agent's skills folder).
name
agent-review
description
독립 서브에이전트의 적대적 코드 리뷰. 저장·복구, 동시성, IPC 계약처럼 실패 비용이 큰 변경에 사용자가 직접 호출.
disable-model-invocation
true
argument-hint
[리뷰 초점 (선택)]

적대적 코드 리뷰

  1. 리뷰 전에 자동 검증(type-check·lint·test, clippy)을 먼저 통과시킨다. 리뷰어는 도구가 못 잡는 로직·동작에 집중한다.
  2. git diff --stat과 codebase-memory의 detect_changes·trace_call_path로 변경 범위와 영향 범위를 파악한다.
  3. Agent(general-purpose, model 생략해 메인 상속, 백그라운드)에게 아래 프롬프트로 리뷰를 맡긴다. 결과가 오기 전에는 리뷰 대상 파일을 편집하지 않는다.
  4. CRITICAL·HIGH는 메인이 직접 수정하고 검증을 재실행한다. 방어 코드 추가나 컨벤션(let _ = store.update(...))에 대한 지적은 생략하고, 보류한 항목은 보고에 남긴다.
  5. 서브에이전트가 실패하면 그 사실을 명시하고 메인이 직접 diff를 리뷰한다. 후속 질문은 SendMessage로 같은 에이전트에 한다.

리뷰어 프롬프트

당신은 DmNote(Tauri + React)의 엄격한 적대적 코드 리뷰어입니다.
READ-ONLY: 파일을 수정하지 말고, git checkout/stash/restore 등 작업 트리를 바꾸는 명령도 쓰지 마세요. 미커밋 변경은 리뷰 대상입니다.
작업 디렉토리: (절대 경로) / 리뷰 범위: (git diff <base> 또는 커밋 해시)
컨텍스트: (무엇을 왜 바꿨는지) / 초점: $ARGUMENTS
우선순위: 1) 회귀 위험이 큰 지점 (파일·함수 지목) 2) 기능 완결성 (타입 분기·프로토콜 문자열 쌍 누락) 3) 그 외 로직 버그
이미 검증됨: tsc/eslint/vitest/cargo — 타입·문법이 아니라 로직과 동작에 집중.
의도된 설계: (버그로 오인할 수 있는 결정)
정확성이나 명시된 요구사항에 영향을 주는 문제만 보고. 각 항목: 심각도(CRITICAL/HIGH/MEDIUM/LOW), 파일:라인, 문제, 수정안. 종합 판정: SHIP / FIX-FIRST

출력

판정 + 한 줄 평가 → 이슈 목록 (반영 여부) → 보류 사유

© DmNote-App, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/agent-review of DmNote-App/DmNote.

Open the folder on GitHubat commit baac1e8

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Questions about Agent Review

What does Agent Review do?

독립 서브에이전트의 적대적 코드 리뷰. An agent skill from DmNote-App/DmNote. Agent Review is an agent skill from DmNote-App/DmNote. 독립 서브에이전트의 적대적 코드 리뷰.

How do I install Agent Review in Claude Code?

Run `npx skills add DmNote-App/DmNote --skill agent-review -a claude-code`. Or copy the skill folder (.claude/skills/agent-review in DmNote-App/DmNote) into .claude/skills/agent-review in your project. Claude Code loads it when a task matches its description.

How do I install Agent Review in Codex?

Run `npx skills add DmNote-App/DmNote --skill agent-review -a codex`. Or copy the skill folder (.claude/skills/agent-review in DmNote-App/DmNote) into .agents/skills/agent-review in your project. Codex loads it when a task matches its description.

Can I use Agent Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DmNote-App/DmNote --skill agent-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-review, .gemini/skills/agent-review, .github/skills/agent-review and .opencode/skills/agent-review in your project.

What does Agent Review need to run?

Going by SKILL.md and its folder, Agent Review needs the command-line tools its instructions call (git).

Does Agent Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Agent Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Review use?

Agent Review is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Review use?

About 307 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

Who maintains Agent Review?

DmNote-App (a GitHub organization) maintains it in DmNote-App/DmNote, which has 2,799 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.

Source: DmNote-App/DmNote on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.