analyze
Skill2 starsChanged 34 days agoMITView on GitHub
Analyze the repository for code hotspots and forensic signals with bbu. Use when the user asks which parts of the codebase are unstable, risky, or worth refactoring first.
70 other projects use a version of this.
Adopted by
Most recently taken up by
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- jhlee0409/proc-janitortheir own version, first seen Nov 8, 2026
- Beskars-Code/Skillstheir own version, first seen Nov 6, 2026
- Gabriel-Lafrance/Skillstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use constitution, revise 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.
ArvorCoSkillconstitution
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stormlightlabsSkillrevise
Address review comments on an open pull request and push the fixes. Use for /edit, /revise, or when asked to respond to review feedback on a PR number.
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DockerSkillwrite
Write or edit reader-facing technical prose for immediate comprehension. Use for documentation, PR titles and descriptions, release notes, design documents, user-facing explanations, and substantive comments. Also use when asked to make writing clearer, more natural, less AI-generated, or easier to read. For documentation fixes, handles edits, formatting, self-review, and commits after research identifies what to change. Do not use for code-only tasks with no prose deliverable.
Also in 6 projects that use this
ArvorCoSkillspecify
Create feature specification from natural language description. Use when starting a new feature or creating a spec. Triggers on: create spec, specify feature, new feature spec.
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H-mmerSkillsubmit
Draft and submit a vulnerability report to the bug bounty platform. Reads scope.yaml for platform/program, uses brain + findings for content. Always drafts first for review.
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GoogleSkillquality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
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- +1 more from ArvorCo
Other versions70 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 70
- anthropics/knowledge-work-plugins★ 35ksame name
- Yeachan-Heo/oh-my-codex★ 34ksame name
- oxsecurity/megalinter★ 2.6ksame name
- H-mmer/pentest-agents★ 815same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- hardisgroupcom/sfdx-hardis★ 432same name
- nwiizo/tfmcp★ 373same name
- hsantanna88/clo-author★ 262same name
- hugosantanna/clo-author★ 262same name
- ansvisor/ansvisor★ 233same name
60 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 repository4 other files it gives its agents.
- AGENTS.mdAGENTS.md
- git-forensicsSkill
- hotspotsSkill
- review-changeSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 60 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 6
Run a forensic analysis of this repository using the bbu CLI:
- Very specific: line 9
If the command fails with "gh" related warnings, re-run with --no-ci.
- Very specific: line 10
If bbu is not installed, tell the user: uv tool install black-box-unlock, then retry.
- Very specific: line 24
If the black-box-unlock MCP server is connected, get_hotspots, get_coupled_files, get_ownership, and get_flaky_steps return this evidence …
“Common” is measured: kept by at least 6 in 10 of the 60 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
Run a forensic analysis of this repository using the bbu CLI:
- Run:
bbu analyze-repo --output=json --days=90- If the command fails with "gh" related warnings, re-run with
--no-ci. - If
bbuis not installed, tell the user:uv tool install black-box-unlock, then retry.
- If the command fails with "gh" related warnings, re-run with
- Parse the JSON. Report, in order:
- Top 5 hotspots by
hotspot_score(commits x indentation complexity), with theirbugfix_commitsandbuild_failurescounts. - Coupled pairs: files whose
coupled_withentries haverate_to_partner>= 0.5, hidden dependencies; changing one without the other is a defect source. - High-risk ownership: files where
is_high_riskis true (more than three authors and no one holding half the commits). - Flaky steps from
flaky_steps, if any.
- Top 5 hotspots by
- Recommend which 2 or 3 files deserve refactoring or extra review first, and why. Ground every recommendation in the numbers you just reported.
If the black-box-unlock MCP server is connected, get_hotspots,
get_coupled_files, get_ownership, and get_flaky_steps return this
evidence without parsing JSON. Pass days=90 to the first three; their
default window is 30 days, and get_flaky_steps always uses 30. Every result
carries provenance naming the HEAD it read.
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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.

