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BF book-to-learn

把任意一本书分解成日常学习任务，每日推送一张知识点卡片。 支持中英文书籍（PDF/DOCX/HTML/EPUB/TXT），拆解为知识点后每日推送。 英文书自动联网核对术语并实时翻译；中文书无翻译环节。 四种推送模板：PDF标准卡片、PDF大字闪卡、飞书交互卡片、飞书卡片+图片补充。 提示词与数据分离，可自由变体为单词学习、诗词海报、新闻讲解等任务。

ClawHub Agent Skills author: sedey999 v1.4.1 MIT-0 16 files body ≈ 2 807 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

把任意一本书分解成日常学习任务，每日推送一张知识点卡片。 支持中英文书籍（PDF/DOCX/HTML/EPUB/TXT），拆解为知识点后每日推送。 英文书自动联网核对术语并实时翻译；中文书无翻译环节。 四种推送模板：PDF标准卡片、PDF大字闪卡、飞书交互卡片、飞书卡片+图片补充。…

As a process F 35/100 · Will not run — References files that are not bundled: url

IntegrationWordAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: url
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 18 mutating operations with no state check
  • 100Steps. 71 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2807 tokens
  • 100Progress reporting. Reports progress
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (21 tags): a typed call is more reliable

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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 175: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 71 items
  • +4Has examples (15 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill’s purpose is legitimate, but it needs review because it can download links from book data and send generated or downloaded files to external services with limited safeguards.
LLM: suspicious (high) · 23 Aug 2026