research-literature-radar
Pass
Audited by Gen Agent Trust Hub on Oct 27, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill follows security best practices for data handling and integrity.\n
- Implements SHA-256 integrity verification in
scripts/build_landscape.pyto validate search artifacts.\n - Uses atomic file operations (temporary files and
os.replace) to ensure file system consistency.\n - Explicitly prohibits gathering sensitive information such as credentials, API keys, or private environment data.\n- [INDIRECT_PROMPT_INJECTION]: The skill processes research papers from external sources, which constitutes an attack surface for indirect prompt injection.\n
- Ingestion points: Ingests paper titles, abstracts, and metadata from
candidates_deduped.jsonlwithin research search bundles.\n - Boundary markers: Employs structured JSONL formats and strict schema validation for all incoming records.\n
- Capability inventory: Capabilities are limited to local file system organization within
docs/papers/and.bensz-api/, with no use of dangerous functions likeeval()orexec().\n - Sanitization: Performs title normalization (ASCII conversion and regex filtering) in
scripts/catalog.pyto sanitize potential injection payloads in identifiers.\n- [COMMAND_EXECUTION]: The skill includes an instruction to usegh apifor reporting design defects.\n - This behavior is scoped to local logging by default and requires explicit user consent for external transmission, following legitimate developer bug-reporting workflows.
Audit Metadata