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将一本书加工成 XReading 卡片:先判断是否值得继续,再讲清核心主张与论证链,提炼可操作规则,快速核查被推翻或争议较大的观点,并回写书单与候选规则。用户输入 /book、书名、本地 PDF/EPUB 路径,或提出“读懂/拆解/提炼/总结一本书并告诉我怎么用”时使用;普通文章摘要、纯文学赏析或只查一个事实时不要使用。

ClawHub Claude Code author: Tandy v1.0.0 MIT-0 7 files body ≈ 706 tokens Open the sourceclawhub.ai analyzed 2 d ago

将一本书加工成 XReading 卡片:先判断是否值得继续,再讲清核心主张与论证链,提炼可操作规则,快速核查被推翻或争议较大的观点,并回写书单与候选规则。用户输入 /book、书名、本地 PDF/EPUB…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 7. 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")

Process rating: all ten parameters 49/100

  • 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 (book) differs from the folder (xreading)
  • 100Tools and files. No external tools needed
  • 100Steps. 55 steps
  • 100Execution cost. Instruction body is 706 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 161: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a coherent book-processing workflow that reads user-provided books, writes reading notes, and updates local reading logs without hidden or disproportionate behavior.
LLM: benign (high) · VirusTotal: · 13 Aug 2026