review
Skill2 starsChanged 49 days agoMITView on GitHub
Audits a codebase for openness across secrets, license, documentation, gitignore, CI/CD, and metadata, with severity-classified findings. Use when checking a repo for secrets, missing docs, or gaps before making it public — or at any point after preparation to validate state.
- Reads credentials
192 other projects use a version of this.
Adopted by
Most recently taken up by
- microsoft/veronatheir own version, first seen Nov 8, 2026
- microsoft/FluidFrameworktheir own version, first seen Nov 8, 2026
- charliee1w/consolidation-memorytheir own version, first seen Nov 8, 2026
- jisuzzzz/haechitheir own version, first seen Nov 8, 2026
- apokamo/kajitheir own version, first seen Nov 8, 2026
- dirien/yet-another-agent-harnesstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use close-spec, design-with-images and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
dzhngSkillclose-spec
When a spec under specs/<feature>/ is done shipping (a write-spec build, or any planned task that produced a spec), archive it to specs/done/ and rewrite it from a build-plan into a durable rationale — the why, the principles, the invariants — pointing back to the real code for the how. Use when implementation has landed and the plan no longer matches what shipped, or the user says a feature/spec is finished. Pairs with [write-spec](../write-spec/SKILL.md) (the plan this closes) and [review](../review/SKILL.md) (run before closing).
Also in 5 projects that use this
dzhngSkilldesign-with-images
Explore UI and visual design with image generation, then iterate the real implementation against the user-selected concept. Use when brainstorming visual directions, offering mockup variants, or implementing an approved generated design; do not stop at the mockups or the first code approximation.
Also in 5 projects that use this
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 5 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 5 projects that use this
- +3 more from dzhng
- +5 more from Lambenthan
Other versions192 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 192
- garrytan/gstack★ 141ksame name
- ansible/ansible★ 71ksame name
- docling-project/docling★ 70ksame name
- traefik/traefik★ 65ksame name
- ClickHouse/ClickHouse★ 51ksame name
- temporalio/temporal★ 24ksame name
- tisfeng/Easydict★ 15ksame name
- juicedata/juicefs★ 15ksame name
- elie222/inbox-zero★ 13ksame name
- gitkraken/vscode-gitlens★ 10ksame name
182 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository3 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- git-repo-prepSkill
- prepareSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 3 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 157 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Create a TodoWrite checklist for all audit categories:
- Very specific: line 64
Check for .env files in the repo (any level).
- Very specific: line 65
Check .gitignore for .env and .env.* exclusion patterns.
- Very specific: line 66
Look for .pem, .key, or credential files.
- Very specific: line 70
Check author fields in package metadata (package.json author, pyproject.toml authors, Cargo.toml authors).
- Very specific: line 72
Look for hardcoded usernames in config or source (DEFAULT_USER, AUTHOR, usernames in URLs or paths).
- Very specific: line 99
Check if any sensitive files are already tracked by git (git ls-files for .env, credentials, keys).
- Very specific: line 103
Look for .github/workflows/, .gitlab-ci.yml, Jenkinsfile, .circleci/, etc.
- Very specific: line 104
Check for Dependabot config (.github/dependabot.yml) or Renovate (renovate.json).
- Distinctive: line 108
Check ecosystem-specific metadata completeness:
- Distinctive: line 134
If critical findings exist, recommend addressing them before release.
“Common” is measured: kept by at least 6 in 10 of the 157 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Review Repo for Openness
Announce: "I'm using git-repo-prep:review to audit this repo for openness."
Setup
Create a TodoWrite checklist for all audit categories:
- Secrets scan
- Personal info scan
- License check
- Documentation check
- Gitignore check
- CI/CD check
- Metadata check
- Present findings and summary
Mark each task in_progress before starting, completed immediately after.
Scope
This is an openness audit, not a code quality review. Stay focused on what matters for making the repo public. Do NOT comment on error handling, architecture, performance, code style, test coverage quality, or design patterns.
Ecosystem Detection
Detect the ecosystem to tailor checks:
| File | Ecosystem |
package.json | Node.js |
pyproject.toml / setup.py / setup.cfg | Python |
Cargo.toml | Rust |
go.mod | Go |
*.csproj / *.sln | .NET |
Gemfile | Ruby |
pom.xml / build.gradle | Java/Kotlin |
Audit Categories
Scan every category below. Classify each finding as Critical, Recommended, or Nice-to-have using the severity definitions in this table exactly. Do not invent your own categories, and do not upgrade or downgrade severity — use the column where the issue appears.
| Category | Critical | Recommended | Nice-to-have |
| Secrets | API keys, passwords, tokens, .env committed | .env in gitignore | git history scan |
| Personal info | Real names/emails in source code | Author field review | Username cleanup |
| License | No LICENSE file | Mismatch between LICENSE file and package metadata; no license section in README | License headers in source files |
| Documentation | No README or empty README | Missing install/usage sections | CONTRIBUTING.md, SECURITY.md, CLAUDE.md |
| Gitignore | Sensitive files tracked/committed | Missing common patterns for ecosystem | IDE/OS files |
| CI/CD | — | No CI pipeline; no tests at all (CI cannot function) | No dependabot, no hooks, no coverage |
| Metadata | — | No repo URL in package metadata | Missing engine/version, keywords, description |
Scanning Process
Work through each category in order.
1. Secrets
- Grep source files for patterns:
sk_live,sk_test,ghp_,AKIA,password\s*=,secret\s*=,token\s*=,api_key,-----BEGIN.*PRIVATE KEY, connection strings with embedded credentials. - Check for
.envfiles in the repo (any level). - Check
.gitignorefor.envand.env.*exclusion patterns. - Look for
.pem,.key, or credential files.
2. Personal Info
- Check author fields in package metadata (
package.jsonauthor,pyproject.tomlauthors,Cargo.tomlauthors). - Grep for email patterns (
\b\S+@\S+\.\S+\b) in source files (not node_modules, not vendor, not lock files). - Look for hardcoded usernames in config or source (
DEFAULT_USER,AUTHOR, usernames in URLs or paths).
3. License
This is the most commonly missed area. Check all three locations and compare:
- LICENSE file — Does it exist? What license does it contain?
- Package metadata — What does the
licensefield say in package.json / pyproject.toml / Cargo.toml? - README — Is there a license section? Does it name the same license?
Flag any mismatch between these three. Flag if any location is missing.
4. Documentation
- README: Does it exist? Is it non-empty? Does it have: project description, installation/getting started, usage, license section?
- CONTRIBUTING.md: Present or missing?
- SECURITY.md: Present or missing?
5. Gitignore
- Does
.gitignoreexist? - Compare against ecosystem best practices:
- Node.js:
node_modules/,.env,dist/,coverage/ - Python:
__pycache__/,*.pyc,.env,*.egg-info/,dist/,.venv/ - Rust:
target/,.env - Go:
vendor/(if not vendoring),.env - General:
.env,.env.*,*.log,.DS_Store,*.pem,*.key
- Node.js:
- Check if any sensitive files are already tracked by git (
git ls-filesfor.env, credentials, keys).
6. CI/CD
- Look for
.github/workflows/,.gitlab-ci.yml,Jenkinsfile,.circleci/, etc. - Check for Dependabot config (
.github/dependabot.yml) or Renovate (renovate.json).
7. Metadata
Check ecosystem-specific metadata completeness:
- Node.js:
repository,engines,keywords,descriptioninpackage.json - Python:
[project.urls],classifiers,requires-python,keywords,descriptioninpyproject.toml - Rust:
repository,keywords,categories,descriptioninCargo.toml - Go: module path matches repo URL, package doc comment
Presenting Findings
Present findings conversationally — do NOT write a report file.
Group by severity, starting with the most urgent:
- Critical — issues that must be fixed before going public
- Recommended — issues that should be addressed for a quality release
- Nice-to-have — improvements for polish
For each finding:
- Describe the issue concisely.
- Explain why it matters for openness (one sentence).
- Offer to fix it right now.
Summary
End with a tally: "X critical, Y recommended, Z nice-to-have findings."
If critical findings exist, recommend addressing them before release. If none, say the repo looks ready and suggest tackling recommended items for polish.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

