CF book-to-learn
把「一本书 / 一个在线文档站 / 一份资料」拆解成学习卡片。 三种来源模式：书籍（PDF/DOCX/HTML/EPUB/TXT）、网站（sitemap + 导航抓取）、 资料拆卡（把国标 / 手册 / 教程 / 网页拆成「一图一知识点」的竖版卡片长图，一次性出图）。 英文内容自动联网核对术语并实时翻译；中文内容跳过翻译。 卡片类型：A4 标准卡片、大字闪卡、移动端学习长图、中英对照文档、竖版知识卡片长图（3:4/9:16 等）。 支持批量取卡（一次推 N 张）与可选的双语文档归档。 跨平台可用：默认产物落本地目录，IMA / 飞书为可选渠道。
把「一本书 / 一个在线文档站 / 一份资料」拆解成学习卡片。 三种来源模式：书籍（PDF/DOCX/HTML/EPUB/TXT）、网站（sitemap + 导航抓取）、 资料拆卡（把国标 / 手册 / 教程 / 网页拆成「一图一知识点」的竖版卡片长图，一次性出图）。…
As a process F 33/100 · No process to follow — References files that are not bundled: url
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 37. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: url - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 33/100
- 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. 22 mutating operations with no state check
- 70Execution cost. Instruction body is 4960 tokens
- 100Steps. 99 steps
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- low 18 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (20 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 275: enough signal without eating the budget
- +4Structure: 42 headings
- +3Step-by-step instructions: 99 items
- +4Has examples (17 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.