review-algorithms

Fail

Audited by Gen Agent Trust Hub on Oct 11, 2026

Risk Level: HIGHCOMMAND_EXECUTIONREMOTE_CODE_EXECUTIONDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill's workflow in SKILL.md (Step 6: Probe edge inputs) explicitly instructs the agent to 'run the CLI on edge inputs' or 'call the function' found within the codebase under review. Executing arbitrary commands or scripts from a potentially untrusted target repository is a high-risk activity that can lead to system compromise or unauthorized actions if the code is malicious.
  • [DYNAMIC_EXECUTION]: The 'Configuration' section of SKILL.md directs the agent to execute a Python script named fitness-config.py located at a relative path (../../scripts/) outside of the skill's specific directory. Executing scripts from computed paths outside the skill's scope is a medium-risk behavior.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and analyze arbitrary code from a target repository (identified as <target> in the resolution step). This represents a significant attack surface where an attacker could embed malicious instructions within the source code to influence the agent's scoring or reporting behavior.
  • Ingestion points: SKILL.md (Workflow Step 2: Scope the review) describes reading files, directories, or questions from the user.
  • Boundary markers: The instructions do not specify any boundary markers or 'ignore' instructions for the content being analyzed.
  • Capability inventory: The skill uses python3 to execute a local script and is instructed to run arbitrary code from the repository for testing.
  • Sanitization: There is no mention of sanitizing or escaping the repository content before it is processed or executed for edge case testing.
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Oct 11, 2026, 03:18 PM