SKILLEMALL.ai

AD course-generator

从转录稿或文献生成可独立阅读、可溯源验收的结构化课程,也可在用户明确要求时归档既有课程或从已验证素材提取培训方案。本技能应在用户要“把长转录稿整理成课程”“生成总览和章节”“归档课程”“按受众定制课程方案”时使用。不要用于:仅做 ASR 纠错(用 transcription-corrector)、复盘讲课表现(用 lecture-review)、把多篇文章扩写成书(用 article2book)。

ClawHub Agent Skills author: xierluo v2.8.1 MIT-0 15 files · 1 script body ≈ 1 205 tokens Open the sourceclawhub.ai analyzed 3 d ago

从转录稿或文献生成可独立阅读、可溯源验收的结构化课程,也可在用户明确要求时归档既有课程或从已验证素材提取培训方案。本技能应在用户要“把长转录稿整理成课程”“生成总览和章节”“归档课程”“按受众定制课程方案”时使用。不要用于:仅做 ASR 纠错(用 transcription-corrector)、复盘讲课表现(用…

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

AnalyzerLearningInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
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: 15. 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 "homepage"

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. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1205 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

  • +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
  • +5Description quotes 3 example trigger phrases
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 3 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This skill is a disclosed local course-generation workflow that reads user-provided materials, writes course files, and runs a local verifier without network or credential use.
LLM: benign (high) · VirusTotal: · 25 Aug 2026