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gh-issues

Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]

64

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./apps/desktop/static/bundled-skills/gh-issues/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

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.

Why it was flagged

The required runtime workflow fetches GitHub Issue/PR text (including outsider-authored `body`, `title`, and review/comment `body` fields) via curl in Phase 2/Phase 6 and injects it into each sub-agent’s LLM context through the constructed task prompt variables like `{body}` and `{json_array_of_actionable_comments}`.

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Repository
nexu-io/nexu
Audited
Security analysis
Snyk

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