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Run this in your terminal
terminal$ openclaw skills install contributor-codebase-analyzer
What we know about this skill
Publisher
anivar
Taken from the source listing. We haven't verified who controls this account.
Install target
Pinned to d7cce635
Installs fetch a stored snapshot of that commit, so the code can't change after the fact.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned anivar/contributor-codebase-analyzer at 6fd84dfb14.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6fd84dfb14
- Manifest
- SKILL.md
- Scanned
- 14 files, 3,553 lines
About this skill
What it does
The Contributor Codebase Analyzer reads every commit diff within a codebase, quarterly, to assess engineering contributions beyond simple volume metrics. It calculates an accuracy baseline for shipped code, detects design improvements and anti-patterns, and maps codebase structure while identifying technical debt. The skill generates growth reviews with specific evidence from commits, avoiding scores or rankings.
When to use it
- Identify hidden contributors: Discover engineers who simplify complexity rather than adding to it, potentially overlooked by traditional metrics.
- Improve code quality: Detect recurring anti-patterns and areas of technical debt within the codebase.
- Inform growth reviews: Provide specific commit evidence for engineering performance discussions, moving beyond generic feedback.
- Understand dependencies: Map cross-repository dependencies to improve architectural understanding.
Key capabilities
- Reads every commit diff quarterly
- Calculates an accuracy baseline (code shipped without fixes)
- Detects design improvements and anti-patterns
- Maps codebase structure, cross-repo dependencies, and technical debt
- Generates growth reviews with specific commit evidence
Example prompts
- "Analyze the contributions of [engineer's name] in the last quarter."
- "Show me areas of the codebase with recurring design anti-patterns."
- "Generate a report on cross-repository dependencies for the payment processing module."
Tips & gotchas
The skill requires access to a Git or GitLab repository. Analysis is incremental and saves progress, allowing for interruptions and resume later due to agentic context limits.