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 LeeYudok/agents-scaffold --skill reviewgit clone --depth 1 https://github.com/LeeYudok/agents-scaffoldWrote 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/leeyudok/agents-scaffold/review)<a href="https://agentmods.dev/skills/leeyudok/agents-scaffold/review"><img src="https://agentmods.dev/badge/skills/leeyudok/agents-scaffold/review/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/leeyudok/agents-scaffold/review"><img src="https://agentmods.dev/badge/skills/leeyudok/agents-scaffold/review.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 | $0.00045 | $0.00466 |
| Opus 5 | $0.00023 | $0.00233 |
| Sonnet 5 | $0.00009 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
review 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 9d 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.
What it actually says
코드 리뷰 (래퍼)
code-reviewer + security-audit 에이전트를 순차로 실행해 완전한 리뷰를 수행한다.
실행 순서
Step 1 — 변경 범위 파악
git diff --stat HEAD~1 # 또는 git diff --stat main...HEAD
git diff --name-only HEAD~1
변경이 없으면 종료.
Step 2 — 코드 리뷰 (code-reviewer 에이전트)
Agent code-reviewer 호출:
- 보안: 하드코딩 키/토큰, 입력 검증 누락
- 성능: N+1 쿼리, 불필요한 동기 I/O
- 품질: any 타입, 50줄 초과 함수, 중복, 죽은 코드
- 컨벤션:
.claude/rules/규약 위반
Step 3 — 보안 감사 (security-audit 에이전트)
Agent security-audit 호출:
- P0 보안 12개 항목 grep 스캔
- 취약한 암호화, SQL Injection, CORS 와일드카드
Step 4 — 종합 보고
## 코드 리뷰 종합 — {{PROJECT_NAME}}
### 코드 리뷰
CRITICAL N건 / WARNING M건 / SUGGESTION K건
### 보안 감사
P0 위반 N건 / P1 위반 M건
### 머지 권고
✅ 머지 가능 / ❌ CRITICAL 또는 P0 위반으로 머지 보류
CRITICAL 또는 P0 위반이 하나라도 있으면 머지 보류 권고.
빠른 리뷰 (인자 있으면)
/review quick — security-audit 생략, code-reviewer만 실행.
Learned warnings
(실행 중 발견한 주의사항이 여기에 누적됩니다)
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.
- 9d ago First seen · 59 lines · 45 tokens per session scan A 80996ed975fe
review is a skill published in the GitHub repository LeeYudok/agents-scaffold (25 stars, last pushed 10d ago), licensed MIT. It adds 45 tokens to every session and 466 once invoked, about $0.0002 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.
Other skills, from other repositories
review
Code review workflow — high standards, zero tolerance for false positives.
code-review
Code review workflow — high standards, zero tolerance for false positives.
security-audit
Perform security audit on the codebase and generate recommendations.
review-pr
Review a GitHub PR with security, performance, and quality checks.
memstack-development-code-reviewer
Use this skill when the user says 'review code', 'code review', 'check my code', 'audit this', 'review PR', 'review changes', 'what's wrong with this', or is requesting a structured review of code quality, security, performance, or maintainability. Do NOT use for refactoring plans or test generation.
shard
Use when the user says 'shard this', 'split file', or when working with files over 1000 lines.