issue
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Audited by Gen Agent Trust Hub on Sep 22, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted data from two primary sources: user-provided descriptions of bugs or features, and existing issue bodies retrieved from remote repositories during duplicate resolution.
- Ingestion points: User input sentences defined in the Trigger section of
SKILL.mdand existing issue descriptions fetched viagh issue vieworglab issue viewinreferences/create.md§2b. - Boundary markers: The skill uses structured Markdown templates (
assets/bug-report.md,assets/feature-request.md) to separate different types of information, which provides some structural delimitation. - Capability inventory: The skill utilizes the
ghandglabCLI tools to perform network write operations, including creating new issues and updating existing ones (references/host-cli.md). - Sanitization: The skill demonstrates security awareness by explicitly recommending the use of body files (
-F) for GitHub to avoid shell quoting and injection issues associated with inline strings. However, for GitLab, it uses command substitution$(cat body.md)which could be sensitive to certain characters if not handled by the underlying execution environment.
Audit Metadata