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CF learn-from-materials

Turn books, PDFs, slides, documents, web pages and text into a source-grounded knowledge base, interactive learning HTML and Markdown in English or Chinese. Use for learning, summaries, explanations, review, quizzes, relationship maps, saving reusable methodology files, retrieving or comparing accumulated methods, and applying them to a real problem. 将材料转为可追溯知识库与交互学习页，支持中英文、关系图、方法论保存/检索/比较及应用；区分材料依据、推断与外部核验。

dmoshehun-prog/learn-from-materials Agent Skills author: dmoshehun-prog 80 files body ≈ 1 211 tokens Open the sourcegithub.com↗ analyzed 31 h ago

Turn books, PDFs, slides, documents, web pages and text into a source-grounded knowledge base, interactive learning HTML and Markdown in English or Chinese.

As a process F 26/100 · No process to follow — References files that are not bundled: references/language-relationships-application.md, references/learning-depth-modes.md, references/material-processing.md

ReferenceResearchLearningtype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
26/100
No process to follow
References files that are not bundled: references/language-relationships-application.md, references/learning-depth-modes.md, references/material-processing.md
Tools and files w 18
0
Steps w 15
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 79. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/language-relationships-application.md
  • warning missing-ref reference to a missing file: references/learning-depth-modes.md
  • warning missing-ref reference to a missing file: references/material-processing.md
  • warning missing-ref reference to a missing file: references/systematic-workflow.md
  • warning missing-ref reference to a missing file: references/book-quality-profile.md
  • warning missing-ref reference to a missing file: references/material-quality-profile.md
  • warning missing-ref reference to a missing file: references/quick-workflow.md
  • warning missing-ref reference to a missing file: references/incremental-update-schema.md
  • warning missing-ref reference to a missing file: references/page-update-workflow.md
  • warning missing-ref reference to a missing file: references/answer-protocol.md
  • warning missing-ref reference to a missing file: references/method-library.md
  • warning missing-ref reference to a missing file: references/question-bank-routing.md
  • warning missing-ref reference to a missing file: templates/components.md
  • warning missing-ref reference to a missing file: references/coverage-audit-schema.md
  • warning missing-ref reference to a missing file: references/summary-coverage-schema.md
  • warning missing-ref reference to a missing file: references/source-heading-index.md
  • warning missing-ref reference to a missing file: references/relation-ledger.md
  • warning missing-ref reference to a missing file: references/action-rule-ledger.md
  • warning missing-ref reference to a missing file: references/whole-material-methodology.md
  • warning missing-ref reference to a missing file: references/content-review-schema.md
  • warning missing-ref reference to a missing file: references/content-contract.md
  • warning missing-ref reference to a missing file: references/learning-page-workflow.md
  • warning missing-ref reference to a missing file: references/diagram-design-and-delivery.md
  • warning missing-ref reference to a missing file: references/visual-system.md
  • warning missing-ref reference to a missing file: templates/themes/README.md
  • warning missing-ref reference to a missing file: references/verification-and-performance.md

Process rating: all ten parameters 26/100

Will not run. References files that are not bundled: references/language-relationships-application.md, references/learning-depth-modes.md, references/material-processing.md
  • 0Tools and files. 26 referenced file(s) missing: references/language-relationships-application.md, references/learning-depth-modes.md, references/material-processing.md
  • 0Steps. Prose only: no discrete steps
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1211 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 411: enough signal without eating the budget
  • +4Structure: 7 headings
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.