SKILLEMALL.ai

BF book-breakdown

把一整本电子书(EPUB/PDF)拆解成可离线阅读的单文件 HTML 拆书报告——包含全书总结、卡片列表式思维导图、以及可展开细看的逐章摘要,并在磁盘上留下结构化的中间产物(章节原文、元数据、各级总结)。当用户上传或指向一个电子书文件,并提到"拆书""读书笔记""总结这本书""把这本书讲明白""不想读原书但想掌握内容""book summary"之类的诉求时,使用本技能。即使用户没有说"拆书"两个字,只要任务是对一整本书做端到端的结构化总结并产出成品文件,也应该使用本技能。不适用于单篇文章、论文、章节片段,或只需要口头回答几句的轻量提问。

ClawHub Agent Skills author: Bowen Gao v0.1.0 MIT-0 4 files body ≈ 1 768 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

把一整本电子书(EPUB/PDF)拆解成可离线阅读的单文件 HTML…

As a process F 33/100 · No process to follow — References files that are not bundled: assets/ch03-fig01.png

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: assets/ch03-fig01.png
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: 4. 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: assets/ch03-fig01.png

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/ch03-fig01.png
  • 0Tools and files. 1 referenced file(s) missing: assets/ch03-fig01.png
  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1768 tokens
  • low 11 top-level sections: this looks like several domains in one skill

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 272: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed offline workflow for turning a user-provided ebook into local summary files and a single HTML report.
LLM: benign (high) · VirusTotal: · 8 Oct 2026