Safely propose architectural features, unknown unknowns, and brainstorm ideas natively in GitHub Discussions. Triggers: Use this skill when the user asks to brainstorm an architecture change, proposes a highly exploratory / undefined technical idea, or as auto-fire trigger for §5.2 Step 2.5 Architectural Step-Back on high-blast-radius proposals before [RESOLVED_TO_AC] / [GRADUATED_TO_TICKET] graduation.
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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.
The workflow requires reading outsider-authored GitHub Discussion/Issue/PR body content (including comments containing user-generated `[GRADUATION_*]` markers) as retrieved content (DATA) for consensus/quorum checks, so free text authored by non-operating users can be ingested into the agent’s LLM context.
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