SKILLEMALL.ai

BD mit24-phase2-value-proposition

MIT有序创业24步法第二阶段(步骤6-10)。当用户需要设计价值主张、构建商业模式画布、量化产品价值、寻找潜在客户、定义核心价值时使用。触发词:价值主张、商业模式、商业模式画布、Business Model Canvas、全生命周期使用案例、客户终身价值、CLV、潜在客户、核心价值、价值量化、ROI

ClawHub Agent Skills author: Roma v1.0.0 MIT-0 2 files body ≈ 418 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
49/100
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: 2. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (mit24-phase2-value-proposition) differs from the folder (mit24-value-proposition)
  • 100Tools and files. No external tools needed
  • 100Steps. 42 steps
  • 100Execution cost. Instruction body is 418 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 151: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 42 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This is a text-only business-planning skill; its request for potential-customer contact details needs privacy care but is disclosed and aligned with customer discovery.
LLM: benign (high) · VirusTotal: · 29 May 2026