to-tickets
Pass
Audited by Gen Agent Trust Hub on Sep 27, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process untrusted external data, which creates a surface for indirect prompt injection attacks where malicious instructions could be embedded in the source material.
- Ingestion points: The skill fetches context from issue bodies, comments, and external URLs or specification paths provided by the user (described in Step 1 of
SKILL.md). - Capability inventory: The skill has the ability to explore the codebase, write files to the
.scratchdirectory, and interact with external issue trackers like GitHub or Linear. - Boundary markers: There are no explicit instructions to the model to ignore embedded commands or markers within the ingested data.
- Sanitization: There is no mention of input validation or sanitization for the content fetched from external sources.
- Mitigation: The skill implements a manual review checkpoint in Step 4 ("Quiz the user") using the
AskUserQuestiontool, which allows the user to inspect and approve the generated tickets before they are published to a tracker. - [DATA_EXFILTRATION]: The skill performs network operations to publish generated content to external platforms like GitHub and Linear. These are well-known services used for their intended purpose in the skill workflow and do not constitute an exfiltration risk in this context.
Audit Metadata