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BC web-artifact-studio

Web交互式工件制作工具，提供数据仪表盘，表单工作流，单页应用与交互式演示构建功能。支持组件展示，状态管理，路由配置与技术选型。适用于产品原型验证，数据可视化展示，内部工具开发等前端工件生产场景。涵盖项目搭建，交付模式选择，TypeScript类型安全等工程化能力。内置React 18与shadcn/ui组件库，含Tailwind样式，响应式布局，无障碍适配。

ClawHub Hermes author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 4 166 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Web交互式工件制作工具，提供数据仪表盘，表单工作流，单页应用与交互式演示构建功能。支持组件展示，状态管理，路由配置与技术选型。适用于产品原型验证，数据可视化展示，内部工具开发等前端工件生产场景。涵盖项目搭建，交付模式选择，TypeScript类型安全等工程化能力。内置React…

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
52/100
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

The same skill appears in 1 more place: ClawHub

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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 181 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "pricing_tier"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "displayName"

Process rating: all ten parameters 52/100

  • 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
  • 70Execution cost. Instruction body is 4166 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 68 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • 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
  • +2Single-language instructions
  • +3Description length 181: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 68 items
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill is mostly a front-end artifact guide, but it contains conflicting and under-scoped instructions about API keys, credentials, external API use, and command execution.
LLM: suspicious (medium) · 15 Aug 2026