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学历教育与职业培训找资料工具。学历教育包括考研（公共课/专业课真题）、专升本、自考等；职业培训包括考公（行测/申论）、教师资格证、经济师、建造师、会计师、法律职业资格等。支持三种类型：找试题试卷、找教辅资料、找备考课程。当用户需要查找考试相关资料时使用此 skill。

ClawHub Agent Skills author: Xiaoya Liu v1.0.8 MIT-0 7 files · 1 script body ≈ 2 050 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: {链接}

ProcedureInfrastructuretype 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%
66
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: {链接}
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: 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")
  • warning missing-ref reference to a missing file: {链接}
  • note frontmatter-key unknown frontmatter key "update_url"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: {链接}
  • 0Tools and files. 1 referenced file(s) missing: {链接}
  • 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. 79 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2050 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -233 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 134: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 79 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This education search skill is mostly for finding exam materials, but it also auto-updates itself, shares device/network details externally, and asks users to paste an API key into chat.
LLM: suspicious (high) · VirusTotal: · 29 May 2026