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.mddirects the agent to execute a Python script namedfitness-config.pylocated 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
python3to 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