jdsnack-agent-os-project: Skill for Claude Code

.agents/skills/review-loop/SKILL.md

review-loop is a skill for Claude Code, Codex from silverThunder09/jdsnack-agent-os-project. It costs 116 tokens per session (1,146 once invoked), scanned A, original, MIT.

A handoff loop in which Claude reviews a Codex coding change and decides whether it meets the project's requirements. It runs build, test, lint, and change-size checks before assigning a score and requesting revisions when needed.

In plain words
What is it for?
Checking pull requests, validating backend and frontend changes, enforcing a diff-size limit, scoring reviews, and sending unresolved issues back to Codex.
Why use it?
It creates a repeatable review and correction process before a change is merged.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

This is silverThunder09/jdsnack-agent-os-project's own configuration. It tells Claude Code and Codex how to work on jdsnack-agent-os-project 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 jdsnack-agent-os-project configures →

Reuse

Borrowing it

Nothing to install: this file belongs to silverThunder09/jdsnack-agent-os-project. 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/silverThunder09/jdsnack-agent-os-project/main/.agents/skills/review-loop/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/silverThunder09/jdsnack-agent-os-project

Made for: Claude Code, Codex.

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-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/silverthunder09/jdsnack-agent-os-project/review-loop/github.svg)](https://agentmods.dev/skills/silverthunder09/jdsnack-agent-os-project/review-loop)
Your own site
<a href="https://agentmods.dev/skills/silverthunder09/jdsnack-agent-os-project/review-loop"><img src="https://agentmods.dev/badge/skills/silverthunder09/jdsnack-agent-os-project/review-loop/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 review-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/silverthunder09/jdsnack-agent-os-project/review-loop"><img src="https://agentmods.dev/badge/skills/silverthunder09/jdsnack-agent-os-project/review-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,146 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 $0.00116 $0.01146
Opus 5 $0.00058 $0.00573
Sonnet 5 $0.00023 $0.00229
Haiku 4.5 $0.00012 $0.00115

Measured 4d ago against content hash 9e965361baf0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

review-loop 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 4d 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.

.agents/skills/review-loop/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

review-loop (Codex = 게이트키퍼)

역할 분담: Codex는 리뷰·판정·PR·merge만, Codex는 코딩·수정·푸시만 담당합니다. 이 스킬은 Codex 쪽 오케스트레이터입니다. Codex는 소스 코드를 직접 수정하지 않습니다. 4점 미만이면 변경요청을 만들어 Codex에 넘기고, 푸시되면 다시 리뷰합니다. 규칙 정본은 .agent-os/이며 여기서 재서술하지 않습니다.

0. 전제

  • Codex가 에이전트 코딩을 끝내고 작업 브랜치에 커밋·푸시한 상태여야 함.
  • 위험도·PR 흐름은 .agent-os/operations/pr-automation-loop.md를 따름.

1. 결정론 게이트 (LLM 호출 전 — 실패 시 리뷰 토큰 0)

Codex가 검증 목적으로 실행. 하나라도 실패하면 리뷰를 시작하지 않고 2번 형식의 변경요청을 만들어 Codex에 넘김:

  1. diff 줄수 한도 — 변경 1,000줄 초과면 PR 분할을 Codex에 요구하고 중단. git diff --stat origin/main...HEAD 합계(또는 gh pr diff <N> | wc -l) 확인.
  2. backend 변경 시cd backend && ./gradlew test
  3. frontend 변경 시cd frontend && npm run lint && npm test
  4. 셋 다 통과해야 2단계로 진행. (게이트용 재실행은 Codex가 수행, 코드 수정은 하지 않음)

2. 리뷰 핸드오프 루프 (최대 5회)

attempt = 1로 시작. 각 회차:

  1. diff 추출 — 로컬이면 git diff origin/main...HEAD, PR이면 gh pr diff <N>.
  2. code-reviewer 서브에이전트 호출 — 입력은 오직:
    • 위 diff
    • 대상 spec의 acceptance-criteria.md / test-scenarios.md 경로
    • attempt > 1이면 직전 회차 findings 중 미해결분(델타)만
    • 전체 레포·.agent-os 전체·대화 전사를 넣지 말 것.
  3. 점수 분기:
    • score ≥ 4루프 종료(통과). 3단계로.
    • score < 4Codex는 수정하지 않는다. code-reviewer의 findings를 그대로 Codex용 변경요청으로 정리해 출력:
      → Codex 변경요청 (attempt N)
      score: N/5
      수정 항목(blocker/major 우선):
      - 파일:라인 — 무엇을 어떻게 고쳐야 하는가
      
      이후 Codex가 같은 브랜치에서 수정·커밋·푸시한다. 푸시 완료를 확인하면 attempt += 1 후 1번(결정론 게이트 포함)부터 재리뷰. 재리뷰는 델타만 평가.
  4. 시도 소진attempt == 5인데도 score < 4루프 중단. 자동 merge 금지:
    • 마지막 점수·미해결 findings를 사용자에게 에스컬레이션.
    • pr-automation-loop.md 기준 실패 Issue 생성 여부 판단.

3. 통과 후 (Codex 담당)

  • PR 생성/갱신은 Codex가 수행. High-risk PR은 scripts/pr-review-gate.sh <N>merge-rules.md 머지 조건을 따름.
  • 통과 점수·회차 수를 PR 본문 검증 섹션에 한 줄로 기록.
  • merge도 Codex가 수행.

경계 규칙 (반드시 준수)

  • Codex는 소스 코드를 수정/커밋하지 않는다. 수정의 주체는 항상 Codex.
  • 리뷰어에 diff + 합격기준 + 루브릭만 전달. 레포 전체 주입 금지.
  • 회차 간에는 델타(미해결 findings)만 넘기고 누적 전사 금지.
  • 외부 리뷰 봇(Greptile 등)을 같이 쓰면 이 로컬 루프와 둘 중 하나만 매 회 실행.
  • 리뷰어 출력은 code-reviewer의 구조화 형식만 허용. 산문 리뷰 금지.

Read the full file on GitHub · 61 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. 4d ago Changed · +3 tokens per session 9e965361baf0
  2. 8d ago First seen · 61 lines · 113 tokens per session scan A 760d93396c1d

Subscribe to this mod's changes

review-loop is a skill published in the GitHub repository silverThunder09/jdsnack-agent-os-project (5 stars, last pushed 5d ago), licensed MIT. It adds 116 tokens to every session and 1,146 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 2026-08-31.

Related

Other skills, from other repositories