rlm-debugging
Pass
Audited by Gen Agent Trust Hub on Feb 25, 2026
Risk Level: SAFEPROMPT_INJECTIONNO_CODE
Full Analysis
- [SAFE]: No security concerns identified. The skill defines a structured methodology for identifying root causes before implementing fixes, which is a defensive programming best practice.
- [NO_CODE]: The skill is implemented as a Markdown documentation file and does not include any Python or Node.js code, scripts, or external dependencies.
- [PROMPT_INJECTION]: The skill instructs the agent to analyze external inputs such as error messages, stack traces, and logs. This exposure to untrusted data is inherent to the debugging task and is documented neutrally as a low-risk surface.
- Ingestion points: System error messages, stack traces, reproduction logs, and git history analyzed during the root cause phase.
- Boundary markers: Not explicitly defined within the skill templates as the instructions focus on analytical process rather than automated parsing.
- Capability inventory: Access to project source files and command-line diagnostic tools typically associated with software troubleshooting.
- Sanitization: Not applicable as the skill describes a human-in-the-loop analysis process for an AI agent.
Audit Metadata