Draft a SPEC from a GitHub issue and open a PR for review. Use when triggered by a routine on `Issue opened` with label `ai:plan`, or when a user asks to "draft a spec from issue #NNN". Non-interactive — proceeds on best interpretation and surfaces any unresolved questions in the SPEC's §Open Questions section rather than blocking for clarification. The PR review loop is where ambiguity gets resolved.
78
90%
Does it follow best practices?
Impact
100%
3.03xAverage score across 1 eval scenario
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.
In routine mode, the skill reads the GitHub issue title/body (outsider-authored issue text) via `mcp__github__issue_read` and then uses that body as the source of truth to fill the SPEC sections and PR body, so free-form outsider text is ingested into the LLM context.