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学习工作台模板生成技能。基于已验证的引擎模板，一句话生成学生每日学习工作台（按开学日进度排课、每日知识点+讲解+练习、每日积累、每日任务、单元复习、考试倒计时），默认内置八年级上册语数英（人教版·英语2024）。支持换年级/学科/教材版本——提供 content-pack JSON 即可裂变出任意学习台。单文件 HTML、手机电脑通用、localStorage 存储、可部署。触发词：学习台、学生台、做个学习台、每日学习、按进度排课、备考台、课程表、xx年级、xx科、人教版。

ClawHub Agent Skills author: rachryan v0.1.0 MIT-0 8 files body ≈ 835 tokens Open the sourceclawhub.ai↗ analyzed 30 h ago

学习工作台模板生成技能。基于已验证的引擎模板，一句话生成学生每日学习工作台（按开学日进度排课、每日知识点+讲解+练习、每日积累、每日任务、单元复习、考试倒计时），默认内置八年级上册语数英（人教版·英语2024）。支持换年级/学科/教材版本——提供 content-pack JSON 即可裂变出任意学习台。单文件…

As a process F 35/100 · Will not run — References files that are not bundled: references/verify_static.js

ProcedureData and analyticsAI and agentsLearningtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/verify_static.js
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: 8. 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: references/verify_static.js
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "display_name"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/verify_static.js
  • 0Tools and files. 1 referenced file(s) missing: references/verify_static.js
  • 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
  • 100Steps. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 835 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 239: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 38 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill coherently builds a local student study-workbench HTML page and does not show hidden data collection, credential access, or destructive behavior.
LLM: benign (high) · VirusTotal: · 14 Aug 2026