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BF bie-zheng-luan-prototype

将产品原型转换为详细技术规范的技能。深度解析HTML原型，提取完整的菜单结构、筛选条件、表格列、操作按钮等信息。支持URL原型、本地HTML文件、图片原型、XMind文件四种输入类型。输出包含前端组件描述、后端接口设计、数据库表设计的完整技术文档。增强版包含智能路由推断、业务API接口推断、完整数据库表结构设计、实体关系图、状态枚举定义。新增交互式业务分析功能，可从原型推断业务流程、状态流转，生成问题让用户确认。

ClawHub Agent Skills author: jermyn-zmj v2.3.3 MIT-0 22 files · 2 scripts body ≈ 3 082 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: LICENSE

ProcedureFigmaGitHubAI and agentstype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: LICENSE
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: 22. 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: LICENSE

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: LICENSE
  • 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
  • 30Running it twice. 4 mutating operations with no state check
  • 100Steps. 271 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3082 tokens
  • low 14 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

  • +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
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 208: enough signal without eating the budget
  • +4Structure: 57 headings
  • +3Step-by-step instructions: 271 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
No artifact-backed suspicious behavior was identified, but the workspace artifacts could not be inspected because local command execution failed in the sandbox.
LLM: benign (low) · VirusTotal: · 29 May 2026