product-research
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns, obfuscation, or unauthorized network operations were detected in the skill's scripts or documentation.
- [DATA_EXPOSURE]: The skill manages its own configuration by reading and writing to standard user directories (
~/.config/research-ops/product-research.json). This is a legitimate implementation of persistent settings for the tool's operation and does not involve accessing sensitive system credentials or private data. - [INDIRECT_PROMPT_INJECTION]: The
insight_synthesizer.pyscript and thear_evaluator.pytool ingest research observations from an external JSON file (observations.json). - Ingestion points: Untrusted data enters the agent context through the
observationsarray in the input file. - Boundary markers: None are explicitly used in the scripts.
- Capability inventory: The skill has the capability to write configuration files to the local file system via
config_loader.pyandonboard.py. - Sanitization: None. While the script logic is deterministic and safe, if the agent interprets the processed observations as instructions, it could be a surface for indirect prompt injection.
- [METADATA_POISONING]: A discrepancy exists between the author name in the skill's metadata (
claude-code-skills) and the provided author context (alirezarezvani). While potentially misleading about the skill's origin, it does not represent a functional security threat.
Audit Metadata