skills/inkeep/team-skills/research/Gen Agent Trust Hub

research

Fail

Audited by Gen Agent Trust Hub on May 4, 2026

Risk Level: HIGHCOMMAND_EXECUTIONREMOTE_CODE_EXECUTIONPROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill instructs the agent to spawn nested sub-instances of the agent using the --dangerously-skip-permissions flag, specifically in the references/nested-fanout.md file. This is a significant privilege escalation risk as it bypasses the platform's security prompts, allowing sub-agents to execute potentially dangerous tools without explicit user confirmation.
  • [COMMAND_EXECUTION]: The instructions make extensive use of the bash tool to perform system-level tasks, including directory management (mkdir), running TypeScript scripts via the bun runtime, and executing network operations with curl.
  • [REMOTE_CODE_EXECUTION]: The skill implements functionality to clone and pull from external Git repositories to a local directory (~/.claude/oss-repos/) for analysis. Performing research on untrusted codebases involves executing commands on the content, which poses a risk of code execution if the repository is malicious.
  • [PROMPT_INJECTION]: The skill is susceptible to indirect prompt injection (Category 8) due to its core design of ingesting data from untrusted web sources and external repositories into the agent's context.
  • Ingestion points: Data enters the system via WebFetch, WebSearch, and git clone as described in references/web-search-guidance.md and references/source-code-research.md.
  • Boundary markers: The skill relies on Markdown formatting (code blocks) to separate evidence snippets, which does not prevent the model from interpreting instructions embedded in the ingested data.
  • Capability inventory: The agent possesses powerful capabilities including file writing, network access, and the ability to spawn autonomous sub-processes.
  • Sanitization: No formal sanitization or validation of the retrieved external content is performed before it is processed or written to report files.
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
May 4, 2026, 08:39 PM
Security Audit — agent-trust-hub — research