SKILLEMALL.ai

BD book-learning-assistant

书本系统学习助手。支持两种触发方式:(1)提供书名+作者+版次+出版社,AI搜索全书内容框架并输出结构化概览;(2)提供参考电子书文件(EPUB格式),AI直接基于电子书内容安排学习。输出包含逐章速览、全面结构化梳理、核心思想、思维工具与小学生案例。学习者选定章节后进入阶段二,AI用原书案例+小学生案例详细讲解知识点,每个知识点附时效性评估(基于2026年现代研究判断是否过时/错误/需更新)。所有输出基于事实、不得杜撰,举例须小学生能懂,结构化输出、语言简洁。

ClawHub Agent Skills author: wangzhanchao883 v1.5.0 MIT-0 5 files body ≈ 1 894 tokens Open the sourceclawhub.ai analyzed 28 h ago

书本系统学习助手。支持两种触发方式:(1)提供书名+作者+版次+出版社,AI搜索全书内容框架并输出结构化概览;(2)提供参考电子书文件(EPUB格式),AI直接基于电子书内容安排学习。输出包含逐章速览、全面结构化梳理、核心思想、思维工具与小学生案例。学习者选定章节后进入阶段二,AI用原书案例+小学生案例详细讲解知识点…

As a process D 46/100 · 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
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
46/100
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: 5. 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")
  • note frontmatter-key unknown frontmatter key "version_desc"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 82 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1894 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
  • -223 emoji in the instructions: noise for the model
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 232: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: suspicious
The skill is mostly a coherent ebook learning assistant, but it includes an under-scoped instruction to write generated notes into Obsidian and Notion.
LLM: suspicious (medium) · VirusTotal: · 1 Jun 2026