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AC jiaopei-operator

教培机构全能运营助手。提供从选址开店、课程设计、招生获客、家校沟通、续费转化到财务分析的完整教培机构运营工作流。 当用户提到"教培运营"、"培训机构"、"教育创业"、"招生方案"、"课程设计"、"续费转化"、"家校沟通"、"教培营销"、"教培财务"、"教培管理"等关键词时触发。 适用于K12培训、艺术培训、职业技能培训、素质教育等各类教培机构创始人、校长的全流程运营场景。

ClawHub Agent Skills author: katherine0325 v1.0.0 MIT-0 4 files body ≈ 950 tokens Open the sourceclawhub.ai analyzed 2 d ago

教培机构全能运营助手。提供从选址开店、课程设计、招生获客、家校沟通、续费转化到财务分析的完整教培机构运营工作流。 当用户提到"教培运营"、"培训机构"、"教育创业"、"招生方案"、"课程设计"、"续费转化"、"家校沟通"、"教培营销"、"教培财务"、"教培管理"等关键词时触发。…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 950 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 187: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a Chinese-language education-business operations guide with templates and no code execution, credentials, persistence, or hidden behavior.
LLM: benign (high) · VirusTotal: · 9 Jun 2026