eu-sparql-search
Fail
Audited by Gen Agent Trust Hub on Jul 14, 2026
Risk Level: HIGHCOMMAND_EXECUTIONREMOTE_CODE_EXECUTIONPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill contains explicit instructions to subvert platform security controls. It directs the AI agent to use
bash_toolto "bypass all web_fetch permission restrictions," which is a direct attempt to circumvent safety filters designed to regulate network access. - [COMMAND_EXECUTION]: The instructions provide multiple complex shell commands and Python scripts intended for execution via
bash_tool. This includes usingcurlto retrieve external content and piping it into a Python interpreter for processing, which allows for arbitrary command execution outside the defined tool boundaries. - [REMOTE_CODE_EXECUTION]: The skill includes Python code templates for network communication that specifically advise the agent to disable SSL/TLS certificate verification (
ssl.CERT_NONE). This instruction is a dangerous security anti-pattern that makes all subsequent network traffic vulnerable to man-in-the-middle (MITM) attacks. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest large amounts of data (up to 20,000 characters) from external sources, creating a significant attack surface for indirect injection.
- Ingestion points: Data is retrieved from the Publications Office SPARQL endpoint and Cellar knowledge graph via
bash_toolandcurlcommands. - Boundary markers: The skill lacks any boundary markers or instructions to treat the retrieved content as untrusted data.
- Capability inventory: The skill possesses the capability to execute shell commands, run Python scripts, and perform unverified network operations.
- Sanitization: There is no evidence of sanitization, escaping, or validation of the content fetched from external URLs before it is processed by the agent.
Recommendations
- AI detected serious security threats
Audit Metadata