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BF premium-html-studio

Generate professional-grade single-file HTML technical docs and proposals (方案) with two premium design systems. (1) International: Playfair Display + Inter + JetBrains Mono, indigo/purple palette, Stripe/Linear/Apple Docs quality for API docs, architecture, workflow analysis, research reports. (2) Chinese Technical Spec style (中文技术规格, Multi-ES style): Noto Sans SC + Noto Serif SC + JetBrains Mono, deep-purple gradient cover with KPI stats, numbered Part dividers, vertical pipeline flow charts with colored stage bars, data-flow funnel, tinted callouts — ideal for Chinese 流程详解/模式详解/链路图/节点拆解/参数说明 docs. Pairs with Prism.js syntax highlighting, layered shadows, gradient accents, publication-quality SVG diagrams. Triggers on: 技术文档, HTML 文档, 技术方案, 项目方案, 架构方案, 设计方案, 实施方案, 研究报告, 流程详解, 模式详解, 链路图, 流程图, 节点详解, pipeline 说明, proposal, premium docs, 专业文档, 漂亮的页面, 生成 HTML, make a professional HTML doc, write a proposal, generate a doc like Multi-ES, 按 Multi-ES 样式.

ClawHub Agent Skills author: fbbyqsyea v1.1.0 MIT-0 3 files body ≈ 19 099 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Generate professional-grade single-file HTML technical docs and proposals (方案) with two premium design systems.

As a process F 45/100 · Will not run — References files that are not bundled: templates/css-system-cn.css, templates/css-system.css, templates/svg-components.svg

GeneratorStripeCloudflareSoftware developmentWriting and documentsMarketingtype 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
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
45
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: templates/css-system-cn.css, templates/css-system.css, templates/svg-components.svg
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 1. 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 body-long SKILL.md body ≈ 19099 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: templates/css-system-cn.css
  • warning missing-ref reference to a missing file: templates/css-system.css
  • warning missing-ref reference to a missing file: templates/svg-components.svg

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: templates/css-system-cn.css, templates/css-system.css, templates/svg-components.svg
  • 0Tools and files. 3 referenced file(s) missing: templates/css-system-cn.css, templates/css-system.css, templates/svg-components.svg
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 10Execution cost. Instruction body is 19099 tokens: crowds the task out of the window
  • 30Running it twice. 4 mutating operations with no state check
  • 85Steps. 112 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 32 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (50 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)
  • +3Description length 960: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -247 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 92 headings
  • +3Step-by-step instructions: 112 items
  • +4Has examples (112 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.

External checks

ClawHub: clean
This skill is a coherent HTML documentation template pack, with manageable cautions around external web assets and optional active JavaScript in generated pages.
LLM: benign (high) · VirusTotal: · 5 Aug 2026