SKILLEMALL.ai

AC business-model-designer

基于《商业模式新生代》和《价值主张设计》理论,帮助用户分析、设计、评估和迭代商业模式的专业工具。 支持四种工作模式: 1) 分析模式 - 从业务描述中提取并生成商业模式画布 2) 设计模式 - 引导式从零设计商业模式,逐步填充9大模块 3) 评估模式 - 评估商业模式健康度,识别问题和风险点 4) 迭代模式 - 基于反馈优化商业模式,生成变体方案 触发场景:用户说"分析商业模式"、"设计商业模式"、"评估商业模式"、 "帮我设计商业计划"、"看看这个业务怎么样"、"优化商业模式"、 "帮我做个商业分析"、"这个生意怎么做"等涉及商业模式分析设计的请求。

ClawHub Agent Skills author: taihongliu v1.0.4 MIT-0 8 files body ≈ 1 630 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
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: 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")
  • note frontmatter-key unknown frontmatter key "copyright"

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. 56 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1630 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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 8 example trigger phrases
  • +3Description length 281: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
The skill appears useful for business-model analysis, but it reportedly forces promotional content into normal answers and may activate too broadly.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026