Given a GitHub issue number, plan and implement the work described in the issue. Operates iteratively - creates an implementation plan, responds to feedback, and only builds when the 'state:agent-ready' label is applied. Includes tests, documentation updates, and PR creation. Trigger keywords - build from issue, implement issue, work on issue, build issue, start issue.
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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.
This workflow fetches the GitHub issue body and all issue comments (human-authored, i.e., outsiders) via `gh issue view ... --json comments` / issue `--json ... body ...`, then uses that readable free text to generate a response and to pass issue title/description/labels into the sub-agent’s prompt, so it can inject arbitrary outsider text into the LLM context at runtime.
deced87
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