Analyze PostgreSQL git commit history between two commit ids and, when valuable DBA/application-developer changes exist, write a Chinese Markdown article for WeChat/公众号 readers with examples checked against SQL tests, docs, or relevant source. Use when the user is inside a PostgreSQL source checkout and provides two commit ids, asks to interpret Postgres commits, summarize a release/development window, identify DBA/application-developer value from commit logs, group related commits, exclude reverted commits, and either output a sourced article under the current project's markdown directory or return a no-article analysis when no valuable commits are present.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
SKILL.md:24-33 and 46-49 direct the runtime workflow to read PostgreSQL commit bodies/subjects (authored by other people) into the agent’s LLM context via the generated JSON/full commit messages, which is outsider-authored free text.
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