Borrowing it
Nothing to install: this file belongs to whchoi98/seoul-opendata-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/whchoi98/seoul-opendata-mcp/main/.claude/skills/refactor/SKILL.mdgit clone --depth 1 https://github.com/whchoi98/seoul-opendata-mcpWrote 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/whchoi98/seoul-opendata-mcp/refactor)<a href="https://agentmods.dev/skills/whchoi98/seoul-opendata-mcp/refactor"><img src="https://agentmods.dev/badge/skills/whchoi98/seoul-opendata-mcp/refactor/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/whchoi98/seoul-opendata-mcp/refactor"><img src="https://agentmods.dev/badge/skills/whchoi98/seoul-opendata-mcp/refactor.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00226 |
| Opus 5.5 | $0.00000 | $0.00090 |
| Sonnet 5.5 | $0.00000 | $0.00045 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
refactor 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 2mo 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
Refactor Skill
동작 변경 없이 기존 코드의 품질을 개선하기 위해 리팩터링합니다.
원칙
- 동작 변경 없이 구조 개선
- 단일 책임 원칙(SRP)
- 중복 코드 제거(DRY)
- 검증 가능한 작은 증분 단계
프로세스
1. 분석
- 대상 코드 및 관련 테스트 파악
- 모든 호출자 및 의존성 매핑
- 테스트 커버리지 확인 (테스트가 없으면 먼저 추가 제안)
2. 계획
리팩터링 계획을 사용자에게 제시하십시오:
- 변경될 내용
- 변경되지 않을 내용 (동작 보존)
- 위험도 평가 (낮음/중간/높음)
3. 실행
- 작은 검증 가능한 단계로 변경 수행
- 가능한 경우 각 단계 후 테스트 실행
- 원자적 커밋 유지
4. 검증
- 모든 기존 테스트 통과 확인
- 동작 변경 없음 확인
- 리팩터링이 목표 달성 확인
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.
- 2mo ago First seen · 33 lines · 0 tokens per session scan A 59158c8c7c91
refactor is a skill published in the GitHub repository whchoi98/seoul-opendata-mcp (1 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 226 tokens. 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.
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