Prepare Evidence-Backed Open Source Contribution Proposals with ContribAI
Use ContribAI when an agent should analyze a repository, respect maintainer consent, and prepare bounded draft contribution proposals with evidence receipts.
npx skills add agentskillexchange/skills --skill prepare-evidence-backed-open-source-contribution-proposals-with-contribai
Use ContribAI when an agent/operator needs to analyze an open source repository and prepare small, reviewable contribution proposals under maintainer-governed admission rules. The operator runs ContribAI in read-only analysis mode by default, checks repository consent through a manifest or approved issue label, creates a bounded proposal, records an evidence capsule, and only submits a draft pull request when explicit write capability, current consent, validation checks, and human review all pass.
What this skill actually does
Invoke this instead of using a coding assistant or GitHub workflow normally when the hard problem is not code generation, but responsible contribution admission: proving consent, bounding changed paths and line counts, protecting governance files, preserving the base revision, and making review evidence explicit before any external write.
The scope boundary is maintainer-consent and evidence governance for AI-assisted open source contributions. This is not a general browser automation, GitHub automation, or LLM coding product listing; it is a constrained proposal pipeline for accountable contributors and maintainers.