exam-audit
Solid只读检查一个已生成的备考工作区是否健康并报告问题,默认不做任何修改。核对 .ingest 原材料版本、 内容单元、接管队列与派生产物完整性,以及 wiki、题库、视觉证据、计划和进度的一致性。当用户怀疑 工作区有问题、建库 readiness 被阻断、或想在开始复习前体检时使用。
AI & Automation 260 stars
14 forks Updated 1 weeks ago MIT
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Skill Content
# exam-audit — workspace health check (read-only)
## Purpose
Inspect a prep workspace built by `exam-ingest` and report health issues. This is a read-only inspector. Do NOT fix anything by default; only fix after the user explicitly grants permission. Emit a concrete issue report; never silently modify or delete files.
## Activation
Activate when the user suspects the workspace is broken (missing chapters, ungradable quiz items, inconsistent progress), or when the user wants a pre-review health check before studying. Do not activate to build, teach, or grade.
## Inputs
- `references/wiki/` — chapter knowledge files (`chN_*.md`).
- `references/quiz_bank.json` — quiz items.
- `references/teaching_examples.json` — optional parallel teaching inventory; examples may remain here even when they are deliberately excluded from the gradable bank.
- `references/teaching_baseline.json` — append-only retention baseline for new workspaces; it must never shrink on re-ingest and must not be hand-edited.
- `references/figure_page_index.json` / `references/image_question_index.json` — regenerable three-sided visual coverage evidence (wiki / prompt / answer).
- `.ingest/source_manifest.json` — source-root-relative paths, source hashes, media types, and parse status.
- `.ingest/base_content_units.jsonl` / `content_units.jsonl` — deterministic extraction baseline and the compiled view after replaying validated patches.
- `.ingest/base_chapter_phase_mappings.jsonl` / `chapter_phase_mappings.jso...
Details
- Author
- ZeKaiNie
- Repository
- ZeKaiNie/universal-examprep-skill
- Created
- 1 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
AI & Automation Solid
exam-ingest
从学生上传的课件/大纲/老师勾的重点/真题,一键初始化并验证备考工作区:解析 PDF、DOCX、PPTX、 XLSX、常见独立图片与 txt/md,建立分章节 LLM Wiki、标准题库、结构化接管队列与进度状态;仅在 Python 确实无法运行时 明确降级为手动写盘。当工作区尚未建立、资料发生变化、或建库 readiness 被阻断时使用。
260 Updated 1 weeks ago
ZeKaiNie AI & Automation Solid
exam-quiz
从 references/quiz_bank.json 抽取本章题目并按标准答案判分,支持选择、主观、画图、填空、判断、代码; 主观题按 keywords 要点覆盖判分,连续错两次提供提示/跳过/归档。禁止现场编题。用于阶段检查或模考。
260 Updated 1 weeks ago
ZeKaiNie AI & Automation Solid
exam-cheatsheet
全员通关后把 错题本+笔记本+知识点窗口+wiki 编译成考前速记小抄 cheatsheet.md(每条要点带可溯源 锚点),并在视觉产物模式或用户明确要求 PDF/打印版时按指定页数渲染成打印级 PDF:按「必背结论/公式 → 有难度例题(必要时含题面图)→ 例题解答(代入公式、保留基础过程)→ 要点解释(同类题怎么办)」 四段组织。当复习收尾、用户要「考前小抄/速记/总结/打印版」时使用。
260 Updated 1 weeks ago
ZeKaiNie