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.py to 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.jsonl within 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 like eval() or exec().\n
  • Sanitization: Performs title normalization (ASCII conversion and regex filtering) in scripts/catalog.py to sanitize potential injection payloads in identifiers.\n- [COMMAND_EXECUTION]: The skill includes an instruction to use gh api for 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
Risk Level
SAFE
Analyzed
Oct 27, 2026, 08:12 AM