SKILLEMALL.ai

AC patent-avoidance-design

基于TRIZ方法论的完整专利规避设计流程。 当用户要求分析专利进行规避设计、生成不侵权替代方案、或进行专利规避分析时使用。 触发词包括:"专利规避"、"规避设计"、"专利规避设计"、"不侵权方案"、"patent avoidance"、"生成不侵权方案"。 本技能嵌套调用 patent-claim-to-funcmodel 子技能完成功能模型还原(8步), 然后执行:(1) TRIZ裁剪(规则A/B/C),(2) 功能导向检索FOS, (3) 非等效方案生成,(4) 侵权判定(全面覆盖原则 + 等同原则 + 禁止反悔原则)。

ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 2 files body ≈ 3 693 tokens Open the sourceclawhub.ai analyzed 3 d ago

基于TRIZ方法论的完整专利规避设计流程。 当用户要求分析专利进行规避设计、生成不侵权替代方案、或进行专利规避分析时使用。 触发词包括:"专利规避"、"规避设计"、"专利规避设计"、"不侵权方案"、"patent avoidance"、"生成不侵权方案"。 本技能嵌套调用…

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

ProcedureAI and agentsWriting and documentstype 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: 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")
  • 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. 157 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3693 tokens
  • 100Running it twice. No mutating operations
  • low 15 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 265: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 157 items
  • +4Has examples (8 code blocks)

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

External checks

ClawHub: clean
This is a disclosed patent-analysis workflow that generates patent-avoidance design reports, but it should be used with legal review.
LLM: benign (high) · VirusTotal: · 13 Aug 2026