SKILLEMALL.ai

BF book2skill

把一本书里沉淀的方法论蒸馏成一组原子化、可被Agent调用的skills,同时产出给人看的笔记和话术库。触发:用户说'帮我拆《XX》''把XX蒸馏成skill''distill this book into skills'时。不做书摘/读后感/作者人设角色扮演。

ClawHub Agent Skills author: Terrybenedict0515 v1.0.0 MIT-0 20 files body ≈ 1 287 tokens Open the sourceclawhub.ai analyzed 2 d ago

把一本书里沉淀的方法论蒸馏成一组原子化、可被Agent调用的skills,同时产出给人看的笔记和话术库。触发:用户说'帮我拆《XX》''把XX蒸馏成skill''distill this book into skills'时。不做书摘/读后感/作者人设角色扮演。

As a process F 31/100 · Will not run — References files that are not bundled: templates/BOOK_OVERVIEW.md.template, templates/SKILL.md.template, templates/INDEX.md.template

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: templates/BOOK_OVERVIEW.md.template, templates/SKILL.md.template, templates/INDEX.md.template
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: 20. 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: templates/BOOK_OVERVIEW.md.template
  • warning missing-ref reference to a missing file: templates/SKILL.md.template
  • warning missing-ref reference to a missing file: templates/INDEX.md.template
  • warning missing-ref reference to a missing file: templates/test-prompts.json.template
  • warning missing-ref reference to a missing file: templates/LEARNING_NOTE.md.template
  • warning missing-ref reference to a missing file: templates/TALKING_POINTS.md.template

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: templates/BOOK_OVERVIEW.md.template, templates/SKILL.md.template, templates/INDEX.md.template
  • 0Tools and files. 6 referenced file(s) missing: templates/BOOK_OVERVIEW.md.template, templates/SKILL.md.template, templates/INDEX.md.template
  • 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
  • 40Consistency. Frontmatter name (book2skill) differs from the folder (cangjie-skill)
  • 100Steps. 54 steps
  • 100Execution cost. Instruction body is 1287 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 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 131: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This skill is a disclosed book-to-skill workflow that reads user-provided book text and writes derived notes and skill files, with no evidence of hidden execution, credential access, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 18 Jun 2026