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BC architect-diagram-pro

本地优先的架构图与结构图生成工具。当用户要求画架构图、系统图、模块图、流程图、时序图、状态机、网络拓扑图、ER图、数据流图、微服务/云原生架构图、甘特图，或提到"画个图""架构图""系统图""模块图""拓扑图""时序图""draw/diagram/flowchart/architecture"时触发。纯本地渲染，无需云端、无需 node、无需 API Key；支持自包含 HTML 与内联 SVG 双输出，内置类型边界、间距可读性与出错重试。

ClawHub Agent Skills author: 一线评标专家 v1.0.0 MIT-0 14 files body ≈ 725 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

本地优先的架构图与结构图生成工具。当用户要求画架构图、系统图、模块图、流程图、时序图、状态机、网络拓扑图、ER图、数据流图、微服务/云原生架构图、甘特图，或提到"画个图""架构图""系统图""模块图""拓扑图""时序图""draw/diagram/flowchart/architecture"时触发。纯本地渲染，无需…

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

IntegrationCustomer supporttype 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%
70
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: 14. 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 "displayName"
  • note frontmatter-key unknown frontmatter key "agent_created"

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. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 725 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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 222: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 38 items
  • +4Reference files are cited in the instructions (10 of 10)

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

External checks

ClawHub: clean
This skill is a local diagram-generation helper with clear limits and no evidence of hidden network, credential, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 7 Aug 2026