breach-remediation
Pass
Audited by Gen Agent Trust Hub on Sep 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a comprehensive methodology for post-breach remediation, covering root cause analysis, control gap closure, and regulatory accountability. It integrates industry-standard references such as GDPR Art. 33 and ISO/IEC 27001, and mentions legitimate security tools like KnowBe4 for training simulation.\n- [DYNAMIC_EXECUTION]: The included Python script
scripts/process.pyis a deterministic utility for generating remediation plans and tracking metrics. It relies on the Python standard library for basic data processing and contains no unsafe dynamic execution sinks such aseval()orexec().\n- [DATA_EXFILTRATION]: No network operations, data exfiltration patterns, or unauthorized file access attempts were detected. The skill's scripts perform local data transformation and output findings to standard output.\n- [INDIRECT_PROMPT_INJECTION]: The skill provides a surface for processing breach details into structured plans. (1) Ingestion points:breach_referenceandroot_causesparameters inscripts/process.py. (2) Boundary markers: The script employs a static dictionary lookup to map input strings to predefined remediation actions. (3) Capability inventory: No dangerous system-level capabilities (e.g., file writing, network requests, or shell command execution) are exposed. (4) Sanitization: Input is validated against a fixed set of template keys.\n- [OBFUSCATION]: All analyzed markdown and code files are written in clear text. No Base64 encoding, zero-width character embedding, or homoglyph attacks were identified.
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