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Identify source-code gaps and interview risks by comparing claimed capabilities with actual implementation evidence.
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Based on SOC occupation classification
Use when a user provides a source document (ChatGPT export, article, PRD, transcript) and asks to extract knowledge points and integrate them into the Obsidian knowledge vault. Trigger phrases: 这份文档涉及的知识点, 写入工程知识库, 集成到vault, 知识提取.
当用户提供源文档（如 ChatGPT 导出内容、文章、产品需求文档、会议转录等），并请求从中提取关键知识点并将其整合至 Obsidian 知识库时（例如将这份文档涉及的知识点, 写入工程知识库, 集成到vault, 知识提取），请使用此skill。
Map source code modules to Obsidian knowledge-tree nodes and generate source-evidence mapping.
Maintain Obsidian `_index.md` files by linking every Markdown note in each branch folder.
Generate interview question indexes from the current Vault structure. Do not generate answers unless explicitly requested.
Build meaningful Obsidian double links across the Vault.
| name | source-risk-audit |
| description | Identify source-code gaps and interview risks by comparing claimed capabilities with actual implementation evidence. |
Identify which claims are strongly supported by source code and which are weak.
| 风险点 | 证据状态 | 原因 | 防守表述 | 建议补充 |
|---|
