literature-search
Fail
Audited by Gen Agent Trust Hub on Feb 20, 2026
Risk Level: HIGHCREDENTIALS_UNSAFEDATA_EXFILTRATIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [CREDENTIALS_UNSAFE] (HIGH): In
SKILL.md, the command to execute the Semantic Scholar search attempts to retrieve an API key usinggrepfrom a hardcoded absolute path:/Users/lingzhi/Code/keys.md. Targeting specific private files for secrets is a high-risk pattern. - [DATA_EXFILTRATION] (MEDIUM): The skill reads from a local sensitive file and passes the content as a plaintext command-line argument. This can expose secrets to system logs, process lists, and shell history.
- [PROMPT_INJECTION] (LOW): The skill downloads untrusted LaTeX source code from arXiv via
scripts/download_arxiv_source.py. This presents a surface for indirect prompt injection if the agent later processes these files. Evidence: 1. Ingestion points:arxiv.orgsource downloads. 2. Boundary markers: Absent. 3. Capability inventory:urllib.requestnetwork calls andos.makedirsfile writes. 4. Sanitization: Only filename characters are sanitized; the downloaded content is not. - [EXTERNAL_DOWNLOADS] (LOW): The skill makes requests to
arxiv.org,api.crossref.org, andapi.openalex.org. These are reputable academic sources, so the download finding is downgraded per the [TRUST-SCOPE-RULE].
Recommendations
- AI detected serious security threats
Audit Metadata