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BF tech-evolution-analysis

基于 TRIZ 11 进化路线 + SVOP 功能化 + patsnap 四轨检索（专利+论文）的技术进化趋势分析 7 步流水线。当用户给出一个产品名称（如智能手表、AR 眼镜、扫地机器人、新能源车电池等）并希望识别该产品的进化方向、空白点、跨域类比候选、3-5-10 年下一代形态预测、灰犀牛与黑天鹅技术信号时调用。触发关键词：技术进化、进化趋势、下一代形态、TRIZ 进化树、空白点、跨域类比、技术路线图、黑天鹅信号、灰犀牛技术、技术预测

ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 13 files body ≈ 1 184 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

基于 TRIZ 11 进化路线 + SVOP 功能化 + patsnap 四轨检索（专利+论文）的技术进化趋势分析 7 步流水线。当用户给出一个产品名称（如智能手表、AR 眼镜、扫地机器人、新能源车电池等）并希望识别该产品的进化方向、空白点、跨域类比候选、3-5-10…

As a process F 35/100 · Will not run — References files that are not bundled: assets/README.md

AnalyzerData and analyticsAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/README.md
Tools and files w 18
0
Result and completion w 14
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.
  2. The text references files that are not there: add them or drop the references.
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: 13. 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")
  • warning missing-ref reference to a missing file: assets/README.md
  • note frontmatter-key unknown frontmatter key "copyright"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/README.md
  • 0Tools and files. 1 referenced file(s) missing: assets/README.md
  • 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
  • 100Steps. 51 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1184 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 221: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 51 items
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
The skill is mostly a coherent technology-analysis workflow, but it generates persistent HTML from loosely controlled content and one renderer allows inline HTML without sanitization.
LLM: suspicious (medium) · VirusTotal: · 13 Aug 2026