pilot-dataset
Fail
Audited by Gen Agent Trust Hub on Jun 24, 2026
Risk Level: HIGHCOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The workflow example script in
SKILL.mdcontains shell injection vulnerabilities. The variables$file,$name, and$rowsare used in shell contexts (e.g.,wc -l < "$file"and JSON payloads) without escaping or validation, allowing an attacker to execute arbitrary commands if they can control these variable values. - [DATA_EXFILTRATION]: The skill utilizes
pilotctl send-file, which can be directed to transmit any local file. This poses a risk of data exfiltration if the agent is manipulated into sending sensitive system configuration, credentials, or private keys. - [PROMPT_INJECTION]: The skill facilitates communication with external peers and processes their responses via
pilotctl --json received. There is a risk of indirect prompt injection where malicious instructions embedded in dataset metadata or peer messages could influence the agent's behavior. - Ingestion points:
pilotctl --json received(SKILL.md) - Boundary markers: None identified; messages are processed as raw JSON.
- Capability inventory:
pilotctl(file transfer, messaging), shell operations (wc,head). - Sanitization: None; the scripts perform direct string interpolation for command arguments.
- [PROMPT_INJECTION]: There is a metadata discrepancy where the author is listed as
vulture-labsin the frontmatter, while the README links and documentation point toTeoSlayer. This inconsistency can be deceptive regarding the skill's origin.
Recommendations
- AI detected serious security threats
Audit Metadata