General-purpose coding policy for Baruch's AI agents
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Does it follow best practices?
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Low
Low-risk findings worth noting
.gitignore for the project's language and tooling.lock.yml workflow files compiled from .md sources by gh aw compile; dependency lock files like package-lock.json, Cargo.lock, go.sum), commit both source and compiled form. Mark the compiled file as generated via .gitattributes (linguist-generated=true, merge=ours) so diffs stay readable and merges don't conflictif __name__ == "__main__" in Python, if (require.main === module) in Node).tessl-plugin
rules
skills
adopt-fork-pr
install-reviewer
migrate-to-plugin