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将 PDF/PPT/Excel/Word 等多格式文档解析为结构化 Markdown,并输出元数据与解析置信度,作为 RAG 与四色卡片的数据底座。
Passed 16 of 22 test cases with the skill, and 3 of 22 without it.
and 18 more in the full report
13 fixed3 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
调用文档解析服务时,除必须传入已安检文件的本地路径 `file_path` 以外,还可以传入哪个可选参数来限制允许解析的格式?
| Checked | Without skill | With skill |
|---|---|---|
| The optional input parameter name is formats. | Missed | Passed |
| The formats parameter serves as a whitelist for allowed extensions. | Passed | Passed |
The instructions your model reads when the skill loads.
file_path:已通过 security-scan 的本地文件路径formats:(可选)期望支持的格式白名单,默认全格式markdown:结构化 Markdown 正文metadata:标题、页数、表格数、作者等元数据confidence:0–1 解析置信度fallback_used:最终生效的解析器名称python-magic(类型探测)人工介入,不输出残缺结果,回传 BLOCKED 给军机处。scripts/run_doc_parse.pycore.runtime.AgentSession.run_stage("doc-parse"),调用 archive.mijuanfang.MiJuanFangAgent(三级解析 fallback,纯 Python 可离线)。python skills/doc-parse/scripts/run_doc_parse.pyexamples/snse_survey/skill_outputs/doc_parse.json(解析结果 + 置信度 + fallback 信息)。test cases passed, vs 3 / 22 without
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