Remove bot co-author trailers and tool footers from AI-generated git commits.
npx skills add https://github.com/statsclaw/statsclaw --skill attribution-statsclaw
Please help me install this Agent Skill. Skill: attribution Source: https://github.com/statsclaw/statsclaw/tree/main/skills/attribution Command: npx skills add https://github.com/statsclaw/statsclaw --skill attribution-statsclaw
This Skill eliminates the problem of AI-generated commits incorrectly attributing work to bots or tooling, which pollutes repository contributor graphs, leaks session identifiers, and violates user authorship rights.
Use the attribution skill to configure all StatsClaw agents to never add bot attribution or co-author trailers to any commit messages they create.
High-intent search queries and answers about installing and using this skill.
To remove bot co-author trailers from AI-generated git commit messages, you need an attribution policy that blocks bot co-author trailers, tool footers, and session URLs. This enforces strict user-only authorship, keeping contributor graphs clean.
AI tooling attribution pollutes repository contributor graphs because bots and tools are incorrectly credited for generated work. This introduces unauthorized co-author trailers and session identifiers, violating actual user authorship rights and skewing audit trails.
Yes, you can enforce a git policy to block tool footers and session URLs in commits. Cross-agent enforcement applies to all pipeline agents across target repositories, workspace repositories, and brain-seedbank forks to guarantee strict user-only authorship.
Yes, this bot attribution blocking works across all workspace repositories and brain-seedbank forks. It applies to all commits created by pipeline agents across target repositories to enforce strict user-only authorship policies.
The best way to keep AI workflow commit history accurately reflecting human contributors is to apply an attribution policy that blocks bot identity overrides and co-author trailers. This ensures audit trails remain clean and contributor graphs stay meaningful for development teams.
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