SKILLEMALL.ai

BC extenics-innovation-method

融合TRIZ与可拓学的创新方法,按IASE四阶段(识别→分析→求解→评价)构建完整创新闭环。可拓创新方法(Extenics Innovation Method)将经典TRIZ的物场分析、功能分析、科学效应库等工具,与中国可拓学的可拓建模、拓展分析、可拓变换、优度评价等工具有机融合,形成"识别→分析→求解→评价"的完整创新流程。与传统TRIZ相比,本方法不仅提供创新方案,还具备完善的优度评价能力,能够对多方案进行量化评价和优选。当用户提到创新方法、可拓学、TRIZ、物场分析、矛盾解决、创新方案评价、优度评价、产品创新、技术矛盾、物理矛盾、发明原理、创新问题解决、系统工程创新、专利创新、新产品开发、方案优选、可拓变换、创新思维、IASE、Extenics、拓展分析等意图时使用此技能。

ClawHub Agent Skills author: golngod v1.0.0 MIT-0 8 files body ≈ 3 218 tokens Open the sourceclawhub.ai analyzed 2 d ago

融合TRIZ与可拓学的创新方法,按IASE四阶段(识别→分析→求解→评价)构建完整创新闭环。可拓创新方法(Extenics Innovation…

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

Proceduretype 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
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")

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. 117 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3218 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
  • -46 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 344: enough signal without eating the budget
  • +4Structure: 47 headings
  • +3Step-by-step instructions: 117 items
  • +4Has examples (27 code blocks)

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

External checks

ClawHub: clean
This is a structured innovation-method guide with no executable behavior or hidden data access; its main caveat is that it may activate broadly for innovation-related requests.
LLM: benign (high) · VirusTotal: · 20 Jul 2026