菜单
Evaluate static code indicators for Mandate 2.1.4 (Sensitive Data Handling in Training Data and System Prompts). Use when assessing partial code-evaluable controls and producing a confidence-scored static finding package before requesting runtime/process evidence.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Evaluate compliance for Mandate 2.2.1 (AI Supply Chain Security) using repository code and configuration analysis. Use when producing deterministic pass/fail findings with severity, mapped mitigated vulnerabilities, and file-level evidence.
Evaluate compliance for Mandate 2.2.6 (MCP Registry and Tool Integrity Pinning) using repository code and configuration analysis. Use when producing deterministic pass/fail findings with severity, mapped mitigated vulnerabilities, and file-level evidence.
Evaluate compliance for Mandate 2.3.3 (Human Verification for Critical Actions) using repository code and configuration analysis. Use when producing deterministic pass/fail findings with severity, mapped mitigated vulnerabilities, and file-level evidence.
Evaluate compliance for Mandate 2.3.5 (Secure Input and Goal Management) using repository code and configuration analysis. Use when producing deterministic pass/fail findings with severity, mapped mitigated vulnerabilities, and file-level evidence.
Evaluate compliance for Mandate 2.3.6 (UI Transparency and Manifest Validation) using repository code and configuration analysis. Use when producing deterministic pass/fail findings with severity, mapped mitigated vulnerabilities, and file-level evidence.
Evaluate compliance for Mandate 2.4.2 (Secure Output Handling) using repository code and configuration analysis. Use when producing deterministic pass/fail findings with severity, mapped mitigated vulnerabilities, and file-level evidence.
| name | mandate-2-1-4-code-static-eval |
| description | Evaluate static code indicators for Mandate 2.1.4 (Sensitive Data Handling in Training Data and System Prompts). Use when assessing partial code-evaluable controls and producing a confidence-scored static finding package before requesting runtime/process evidence. |
Return a single structured result with:
