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BD huo15-flow-chart

2026 现代美学的流程图、泳道图、系统架构图、C4 架构图、时序图、状态图、ER 图、甘特图生成。Linear/Vercel/Radix 配色 + 软阴影 + 圆角 + 判断色强调 + 容器分层。输入 YAML/JSON 规格或 Mermaid/PlantUML/DOT 源码，输出 SVG/PNG/PDF/draw.io；PDF 默认单页自适应画布不分页；内置 17 种风格（含 v1.4 新增 editorial NYT 杂志 / bauhaus 红黄蓝几何 / swiss 国际主义 Helvetica 网格 三个有性格风格）；支持 draw.io 源文件 + C4-PlantUML + 架构 Tier 分层。触发词：流程图、泳道图、时序图、状态图、ER 图、系统架构图、C4 图、画流程图、生成流程图、编辑杂志风、纽约客、NYT、Monocle、包豪斯、三原色、瑞士国际主义、Helvetica 网格、Müller-Brockmann。

ClawHub Agent Skills author: Job Zhao v1.4.0 MIT-0 19 files body ≈ 4 662 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
65
Run on models
none yet
Process rating
D
42/100
Unfinished process
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-privilege scripts/flowchart_render.py:129
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    pup_cfg.write_text(json.dumps({"args": ["--no-sandbox", "--disable-setuid-sandbox"]}))
    detectorcode literal

Files scanned: 19. 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 "aliases"
  • note frontmatter-key unknown frontmatter key "dependencies"

Process rating: all ten parameters 42/100

  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4662 tokens
  • 100Steps. 88 steps
  • 100Consistency. Name and required fields are in place

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
  • -260 emoji in the instructions: noise for the model
  • -32 of 5 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 424: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 88 items
  • +4Has examples (14 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
This appears to be a genuine diagram-generation skill, but it can automatically run unpinned Docker renderers and disables Chromium sandboxing without clear user opt-in.
LLM: suspicious (high) · VirusTotal: · 29 May 2026