assign-label
Assign GitHub issue labels based on content analysis. Use when: (1) A new issue is created and needs categorization, (2) An issue needs relabeling after content changes, (3) Analyzing issue content to determine appropriate labels. Intelligently preserves template-assigned and user-applied labels while updating skill-assigned labels based on current content.
72
88%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 0.90). The skill ingests `ISSUE_BODY` (issue title/body text) at runtime via the GitHub Issues API; that body is authored by an outsider (the reporter) and is free-form text that can contain indirect prompt-injection payloads.
- Repository
- netwrix/docs
- Commit
6b797b3
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.