skill-architect
Fail
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: HIGHEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- Indirect Prompt Injection (HIGH): The skill is designed as an 'authoritative meta-skill' for auditing and validating other agent skills. This creates a high-risk surface for indirect prompt injection where malicious instructions within an audited skill could compromise the meta-agent. \n
- Ingestion points: Path-based auditing of external skills via
scripts/validate_skill.py(referenced inREADME.md) and processing of 'concrete examples' (referenced inREADME.md). \n - Boundary markers: No explicit delimiters or 'ignore embedded instructions' markers are defined in the orchestration or validation templates. \n
- Capability inventory: The skill framework includes and encourages the execution of Python and Bash scripts (e.g.,
validate_skill.sh,init_skill.py) and defines agent pipelines with access to system tools likeBash(referenced insubagent-template.md). \n - Sanitization: No evidence of sanitization or safety-filtering for the content of audited skills is provided in the validation logic. \n- Command Execution (MEDIUM): The skill's workflow and documentation rely on the execution of local scripts and build commands. While templates like
validate_skill.shappear benign, the framework encourages the creation of powerful tools that operate on the local file system and external APIs. Evidence:scripts/init_skill.py,scripts/validate_skill.py, andnpm run buildinstructions inreferences/mcp-template.md. \n- External Downloads (LOW): The skill's templates and documentation encourage the installation of external packages from npm and PyPI. Per [TRUST-SCOPE-RULE], these are downgraded to LOW/INFO as they target trusted repositories, but they remain a supply chain surface. Evidence:package.jsoninmcp-template.mdandpip installcommands inself-contained-tools.md. \n- Metadata / Phantom Tools (LOW): TheREADME.mdandCHANGELOG.mdreference several scripts (e.g.,scripts/package_skill.py) that are not included in the provided skill bundle. This mismatch between documented capability and provided files can lead to unexpected agent behavior.
Recommendations
- AI detected serious security threats
Audit Metadata