do
Fail
Audited by Gen Agent Trust Hub on Oct 24, 2026
Risk Level: HIGHCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The
SKILL.mdinstructions guide the agent to perform an unsafe shell operation. Under the "Step 0: Semantic self-route" section, it mandates the execution of a bash snippet:REQUEST_FILE=$(mktemp); printf '%s' "{user_request}" > "$REQUEST_FILE". Directly interpolating untrusted user input ({user_request}) into a shell command without sanitization or proper escaping allows for command injection. A malicious user could craft a request containing shell metacharacters (e.g.,$(command)or backticks) to execute arbitrary code on the host system. - [INDIRECT_PROMPT_INJECTION]: The parallel analysis methodology (defined in
references/parallel-analysis.md) creates an attack surface for indirect prompt injection. The skill ingests untrusted "source material" from a user-specified path and processes it using multiple analysis agents. The synthesized findings are then used to automatically modify other agents and skills in the repository. - Ingestion points: The
source-pathargument in Phase 1 of the parallel analysis (references/parallel-analysis.md). - Boundary markers: The perspective prompts (in
references/perspective-prompts.md) lack delimiters or explicit instructions to treat the source material as data rather than instructions, which could lead the agents to obey commands hidden in the source files. - Capability inventory: The skill uses
Bash,Skill, andTasktools to modify local repository files (agents/*.mdandskills/*/SKILL.md), giving a successful injection the power to compromise the integrity of the entire agent toolkit. - Sanitization: There is no evidence of sanitization or filtering of the content extracted from the source material before it is used to update local agent/skill definitions.
Recommendations
- AI detected serious security threats
Audit Metadata