End-to-end playbook for shipping high-quality pull requests to open-source projects you don't maintain. Use whenever the user is creating, editing, or pushing a PR to a third-party GitHub repo — even if they just say "submit a PR", "open a PR", "fix this upstream", "rebase against main", "respond to the bot review", or names a target repo in the form `owner/repo`. Covers project discovery, CONTRIBUTING.md compliance, PR-size sanity check, minimal-diff implementation, isolated GUI E2E verification, PR description writing with AI-assisted disclosure, conflict resolution with fixup + autosquash, and post-submission bot/maintainer interaction. Also triggers on Chinese phrases like "提 PR"、"上游 PR"、"贡献代码"、"rebase 冲突"、"PR 描述写不好"、"回应维护者"、"AI 贡献声明".
75
92%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.90). The playbook explicitly requires fetching and reading untrusted, public repository content (e.g., reading each target repo's CONTRIBUTING.md and using gh pr list / gh pr view on arbitrary owner/repo targets and PR pages on GitHub), and it instructs the agent to act on those findings (e.g., add AI disclosure, change workflow), so third-party content can materially influence tool use and decisions.
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