skills/figlabhq/agent-skills/research/Gen Agent Trust Hub

research

Pass

Audited by Gen Agent Trust Hub on Apr 22, 2026

Risk Level: SAFEPROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
  • [PROMPT_INJECTION]: The skill is susceptible to indirect prompt injection (Category 8) because it ingests untrusted data from external sources and integrates it into the agent's decision-making flow.
  • Ingestion points: External web content fetched via WebSearch and WebFetch, documentation retrieved via mcp__context7 tools, and various local codebase files (SKILL.md).
  • Boundary markers: Absent. The instructions do not specify the use of delimiters or warnings to the model to ignore instructions contained within the fetched data.
  • Capability inventory: The skill reads codebase patterns/configs, performs network operations, and ultimately transitions to a higher-privilege state by calling the EnterPlanMode tool (SKILL.md).
  • Sanitization: Absent. No sanitization, escaping, or validation of external content is defined before the data is synthesized.
  • [DATA_EXFILTRATION]: The skill performs network operations that could facilitate data exposure.
  • The research workflow involves reading sensitive configuration and dependency files (e.g., package.json, Gemfile, requirements.txt, .env structures) to find patterns and dependencies (SKILL.md).
  • This information is processed in the same context as network-enabled tools like WebSearch and WebFetch, creating a potential path for technical metadata to be included in outbound queries or retrieved content summaries.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 22, 2026, 02:12 AM
Security Audit — agent-trust-hub — research