docs-sync
코드·설정·프리셋 변경 뒤 문서를 현행화한다. "문서 현행화", "README 갱신", "문서 최신화" 요청 시, 그리고 동작·경로·버전·수치를 바꾼 PR 을 올리기 직전에 사용. 문서의 주장을 실제 코드·명령 출력·공식문서와 대조해 정정하고, 다국어 짝 파일을 함께 갱신한다.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add LeeYudok/agents-scaffold --skill docs-sync
Maintenance
fresh
1d since push
Risk
Needs review
The skill relies on a repository-specific script (knowledge_graph.py) for link checking. This may not be present in other projects, making the skill less portable without modification.
GitHub quality
20
60/100 Quality · 70/100 Trust
Coverage tags
Review notes
The skill relies on a repository-specific script (knowledge_graph.py) for link checking. This may not be present in other projects, making the skill less portable without modification. · Low GitHub adoption signal
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
20 GitHub stars
Repo activity
20 stars, 3 forks
Maintenance
1d since push
License
MIT
Install
npx skills add LeeYudok/agents-scaffold --skill docs-sync
Install safety
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- The skill relies on a repository-specific script (knowledge_graph.py) for link checking. This may not be present in other projects, making the skill less portable without modification.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 20 GitHub stars
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect source files
Suited agents
Install decision
- Command
- npx skills add LeeYudok/agents-scaffold --skill docs-sync
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 62/100
- Audit
- 75/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add LeeYudok/agents-scaffold --skill docs-syncDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill relies on a repository-specific script (knowledge_graph.py) for link checking. This may not be present in other projects, making the skill less portable without modification.
- No OpenAgentSkill engagement data yet
Agent safety v2
47/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- The skill relies on a repository-specific script (knowledge_graph.py) for link checking. This may not be present in other projects, making the skill less portable without modification.
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install leeyudok-docs-syncAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20docs-sync%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20docs-sync%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/leeyudok-docs-sync/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use docs-sync in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20docs-sync%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/leeyudok-docs-sync/install
Install command: npx skills add LeeYudok/agents-scaffold --skill docs-sync
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/leeyudok-docs-sync/install
LLM text format
/api/skills/leeyudok-docs-sync/install?format=text
Find alternatives
/api/skills/search?q=docs-sync&limit=3
Agent prompt
Use docs-sync for this task. Review https://www.openagentskill.com/api/skills/leeyudok-docs-sync/install, then install with: npx skills add LeeYudok/agents-scaffold --skill docs-syncRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/leeyudok-docs-sync
LLM text
/api/registry/manifest/leeyudok-docs-sync?format=text
Install alias
/api/registry/install/leeyudok-docs-sync
Recommend
/api/registry/recommend?task=Use%20docs-sync%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 75/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Coding agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 60/100 quality profile
review first
- Low GitHub adoption signal
- The skill relies on a repository-specific script (knowledge_graph.py) for link checking. This may not be present in other projects, making the skill less portable without modification.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Coding agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX20 GitHub stars
Stars/forks activity
FIX20 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- The skill relies on a repository-specific script (knowledge_graph.py) for link checking. This may not be present in other projects, making the skill less portable without modification.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 20 GitHub stars
- Stars/forks activity: 20 stars, 3 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Compare before you install
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Overview
--- name: docs-sync description: 코드·설정·프리셋 변경 뒤 문서를 현행화한다. "문서 현행화", "README 갱신", "문서 최신화" 요청 시, 그리고 동작·경로·버전·수치를 바꾼 PR 을 올리기 직전에 사용. 문서의 주장을 실제 코드·명령 출력·공식문서와 대조해 정정하고, 다국어 짝 파일을 함께 갱신한다. user-invocable: true allowed-tools: Bash, Read, Grep, Glob, Edit, Write ---
# 문서 현행화 (docs-sync)
문서 stale 은 **자동 게이트에 걸리지 않는다.** 링크 체커는 깨진 링크만 보고, 테스트 스위트는 문서를 읽지 않는다. 그래서 절차로 잡는다.
## 원칙
- **주장 단위로 검증한다.** 문서를 "읽고 자연스러운지" 보는 게 아니라, 문장이 담은 **검증 가능한 주장**(경로·버전·수치·동작·기본값)을 뽑아 실제와 대조한다. - **근거 없이 고치지 않는다.** 파일:라인, 명령 출력, 공식문서 URL 중 하나가 있어야 한다. 확인 못 한 건 지우지 말고 **"미검증"으로 명시**한다 — 조용히 삭제하면 정보가 사라진다. - **낙관적 서술 금지.** 부분만 동작하면 "동작한다"고 쓰지 않는다. 되는 범위와 안 되는 범위를 나눠 쓴다.
## 절차
### 1. 변경 범위 추출
```bash git log --oneline <last-doc-commit>..HEAD git diff --stat <last-doc-commit>..HEAD ```
문서에 영향 주는 변경만 추린다 — CLI 플래그·기본값, 파일/디렉터리 경로, 생성 산출물, 버전, 임계값·수치, 게이트 동작, 지원 범위.
### 2. 문서의 검증 가능한 주장 수집
대상: `README*`, `AGENTS.md`, `CLAUDE.md`, 각 디렉터리 `README.md`, 스킬/에이전트 문서.
```bash grep -rn '`[^`]*/`\|버전\|기본값\|default\|v[0-9]\+\.[0-9]' README*.md docs/ 2>/dev/null ```
특히 낡기 쉬운 것: **디렉터리 트리 블록**(신규 산출물 누락), **버전 표기**, **"자동으로 ~한다" 류 동작 서술**, **지원 매트릭스**.
### 3. 주장별 대조
| 주장 유형 | 검증 방법 | |---|---| | 경로·파일 존재 | `ls` / `find` — 실제 생성물 기준, 소스 트리 아님 | | CLI 플래그·기본값 | `<cmd> --help` 실행. 문서 인용 금지, 출력이 근거 | | 도구 버전 | `<cmd> --version` 실측 + **실측 일자 병기** | | 동작("자동 로드한다") | 해당 도구 **공식문서 URL**. 없으면 "문서 근거 없음"으로 표기 | | 수치·임계값 | 코드에서 grep 하거나 실제 산출물 측정(`wc -c` 등) | | 게이트 동작 | 실제로 실행해서 exit code 확인 |
### 4. 다국어·짝 파일 동시 갱신 (필수)
한쪽만 고치면 나머지가 stale 이 되는데 **어떤 게이트에도 안 걸린다.**
```bash ls README*.md # 다국어 README 전량 ls presets/lang-en/ 2>/dev/null # 언어 오버레이 존재 여부 ```
- `README.md` 를 고쳤으면 `README.en.md`·`README.zh.md`·`README.ja.md` 를 **같은 커밋**에서. - `.claude/**` 베이스 파일을 고쳤으면 `presets/lang-en/` 의 대응 파일도 같은 커밋에서. - 번역이 아니라 **같은 사실의 각 언어판** — 수치·버전·경로·표 구조는 동일하게 유지한다. - 언어별로 원문이 달라 일괄 치환이 깨진다. 파일마다 `grep -n` 으로 교체 대상을 먼저 확인한다.
### 5. 게이트 실행
```bash python3 .claude/scripts/knowledge_graph.py --check # 깨진 링크 0 확인 ```
문서만 고쳤어도 테스트 스위트를 한 번 돌린다 — 문서에 인용된 명령·경로가 테스트와 어긋나 있으면 여기서 드러난다.
### 6. 보고
정정한 주장을 **`이전 → 이후 + 근거`** 형태로 나열한다. "README 를 갱신했다" 같은 요약만 남기지 않는다. 확인 못 해 "미검증"으로 남긴 항목도 함께 보고한다.
## 완료 기준
- 문서의 모든 검증 가능한 주장에 근거가 있거나 "미검증" 표시가 있다 - 다국어·오버레이 짝 파일이 같은 커밋에 포함됐다 - 링크 체커 0 broken, 테스트 스위트 통과
## Learned warnings
- 낡은 서술을 **삭제**로 처리하면 "왜 없어졌는지" 추적이 끊긴다 — 실측 일자와 함께 "미검증"으로 남기는 편이 낫다. - 디렉터리 트리 블록이 가장 자주 낡는다. 신규 산출물이 추가된 커밋에서 트리를 안 고치면 링크 체커도 못 잡는다(링크가 아니라 코드블록 안 텍스트라서).
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 22, 2026
- Published
- Aug 22, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 77/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for docs-sync, ready for a manual X post.
A practical pick for a repeatable workflow: docs-sync: 코드·설정·프리셋 변경 뒤 문서를 현행화한다. "문서 현행화", "README 갱신", "문서 최신화" 요청 시, 그리고 동작·경로·버전·수치를 바꾼 PR 을 올리기 직전에 사용. 문서의 주장을 실제 코드·명령 출력·공식... 20 stars https://www.openagentskill.com/skills/leeyudok-docs-sync?ref=x
Optional reply with install command
Listing + install path for docs-sync: https://www.openagentskill.com/skills/leeyudok-docs-sync?ref=x Install: npx skills add LeeYudok/agents-scaffold --skill docs-sync
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- LeeYudok
- Source
- LeeYudok/agents-scaffold
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to LeeYudok but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/leeyudok-docs-sync)
[](https://www.openagentskill.com/skills/leeyudok-docs-sync)
[](https://www.openagentskill.com/skills/leeyudok-docs-sync/audit)
[](https://www.openagentskill.com/skills/leeyudok-docs-sync)Author
LeeYudok
@leeyudok
Tags
Platform fit
Health signals
- GitHub stars
- 20
- Quality score
- 33/100
- Last GitHub push
- Aug 22, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption20 GitHub starsFIX
- Stars/forks activity20 stars, 3 forks; issue activity unavailable in current metadataFIX
- Recent maintenance1d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surfaceINFO
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