SKILLEMALL.ai

BD opc-business-plan

专业商业计划书生成工具,精简问答+动态财务+原创分析框架+PPT自动生成

ClawHub Agent Skills author: golngod v1.0.0 MIT-0 10 files body ≈ 1 487 tokens Open the sourceclawhub.ai analyzed 2 d ago

专业商业计划书生成工具,精简问答+动态财务+原创分析框架+PPT自动生成

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePowerPointSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
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.
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 40Consistency. Frontmatter name (opc-business-plan) differs from the folder (wanpaike-opc-business-plan)
  • 100Tools and files. No external tools needed
  • 100Steps. 56 steps
  • 100Execution cost. Instruction body is 1487 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)
  • +3Description length 36: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill’s business-plan purpose is coherent, but it can automatically modify the local Python environment while generating PPT files without clear user confirmation.
LLM: suspicious (high) · 20 Jul 2026