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 agentmods add skills/leeyudok/agents-scaffold/skill-evolvenpx skills add LeeYudok/agents-scaffold --skill skill-evolvegit 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/skill-evolve)<a href="https://agentmods.dev/skills/leeyudok/agents-scaffold/skill-evolve"><img src="https://agentmods.dev/badge/skills/leeyudok/agents-scaffold/skill-evolve.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00051 | $0.00601 |
| Opus 5 | $0.00026 | $0.00300 |
| Sonnet 5 | $0.00010 | $0.00120 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
skill-evolve 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 6d 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
스킬 자기개선
원형: leeyudok/doksam-skills 의 동명 스킬. 템플릿 동봉용으로 의도적 분기 — 자동 동기하지 않으며, 좋은 개선은 수동 체리픽.
실행 중 발견한 문제, 사용자 피드백을 해당 스킬의 SKILL.md에 반영한다.
트리거
/skill-evolve <스킬명> <피드백>
프로세스
- 대상 읽기:
.claude/skills/<스킬명>/SKILL.md전체 읽기. - 분석: 피드백 + 최근 실행 맥락 분석 → 변경 부분 결정.
- 새로운 gotcha →
## Learned warnings섹션에 날짜와 함께 추가 - 단계 수정 → 프로세스 섹션 업데이트
- 잘못된 명령 → 수정
- 새로운 gotcha →
- 제안: 기존 내용 인용 + 변경 diff(추가/삭제 라인별) 제시.
- 확인 요청: "적용하시겠습니까? (Y/n)"
- 적용: 확인 후 SKILL.md 직접 수정.
- 커밋: 브랜치 재확인 후:
git add .claude/skills/<스킬명>/SKILL.md git commit -m "evolve skill/<스킬명>: <요약>" - 검증(미니 eval): 개선 계기가 된 것과 같은 유형의 입력으로 수정된 스킬을 실행해, 개선 전 실패했던 지점이 실제로 고쳐졌는지 전후 비교로 확인.
규칙
- 기존 Learned warnings는 삭제하지 않고 누적
- 날짜 태그 필수:
(YYYY-MM-DD) - 중복 경고는 병합
- 커밋 직전 브랜치 재확인 (main 위 커밋 방지)
출력 형식
개선 제안
기존: [인용]
제안: [수정안]
diff:
+ 추가 라인
- 삭제 라인
적용하시겠습니까? (Y/n)
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.
- 6d ago First seen · 60 lines · 51 tokens per session scan A 486367f1f143
skill-evolve is a skill published in the GitHub repository LeeYudok/agents-scaffold (25 stars, last pushed 7d ago), licensed MIT. It adds 51 tokens to every session and 601 once invoked, about $0.0003 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.
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