SKILLEMALL.ai

BD tool-tutorial-generator

工具软件教程自动生成器。输入任意工具/软件名称,自动聚合中文互联网(百度/知乎/B站/CSDN/掘金/微信公众号/小红书)教程资源,生成结构完整的交互式HTML教程报告。覆盖概览、安装配置、基础用法、进阶技巧、常见问题、学习路线图、资源汇总七大板块。触发词:生成教程、软件教程、工具教程、学习指南、怎么用XX、XX教程、XX入门、XX使用指南、帮我学XX、tutorial generator、软件学习报告。

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 4 files body ≈ 603 tokens Open the sourceclawhub.ai analyzed 17 h ago

工具软件教程自动生成器。输入任意工具/软件名称,自动聚合中文互联网(百度/知乎/B站/CSDN/掘金/微信公众号/小红书)教程资源,生成结构完整的交互式HTML教程报告。覆盖概览、安装配置、基础用法、进阶技巧、常见问题、学习路线图、资源汇总七大板块。触发词:生成教程、软件教程、工具教程、学习指南、怎么用XX、XX教程…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorFigmaLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
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: 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

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 (web) that frontmatter does not declare
  • 100Steps. 42 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 603 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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 204: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill does what it says: it searches for tutorial resources and creates a local HTML tutorial report, with no evidence of hidden credential access, exfiltration, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 18 Jun 2026