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BF workbuddy-dream-skin

WorkBuddy 深度换肤工具：用一句话或一张参考图生成专属皮肤并注入界面。WorkBuddy 组件不吃 --vscode-* 变量而用自有语义类（.wb-home-header / .chat-container / .conversation-sidebar），本 skill 直接覆盖这些真实语义类实现深度换肤。由于运行时注入（CDP / V8 inspector）已被硬化拦截，本 skill 通过对 app.asar 做最小字节手术注入皮肤 CSS（自动备份 app.asar.bak、可一键还原），无需调试端口。支持人物 / 电影画面 / 意境 / 艺术风格 / 参考图多种意图。触发词：换肤 / 皮肤 / 主题 / 生成皮肤 / 自定义皮肤 / 改外观 / 以这张图为准 / skin / theme / customize appearance。

ClawHub Agent Skills author: chugenice v1.0.0 MIT-0 14 files body ≈ 2 016 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

WorkBuddy 深度换肤工具：用一句话或一张参考图生成专属皮肤并注入界面。WorkBuddy 组件不吃 --vscode- 变量而用自有语义类（.wb-home-header / .chat-container / .conversation-sidebar），本 skill…

As a process F 33/100 · Will not run — References files that are not bundled: assets/<id>_scene.png

ProcedureVS CodeAI 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
83/100
safety, quality, tests
Safety 60%
99
Quality 40%
60
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: assets/<id>_scene.png
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-execpolicy-bypass scripts/apply.js:67
    Runs PowerShell with execution policy bypassed (string literal in code, not executed)
    const tr = `powershell.exe -NoProfile -ExecutionPolicy Bypass -File ${ps1}`;
    code literal

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")
  • warning missing-ref reference to a missing file: assets/<id>_scene.png
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/<id>_scene.png
  • 0Tools and files. 1 referenced file(s) missing: assets/<id>_scene.png
  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (workbuddy-dream-skin) differs from the folder (workbuddy-new)
  • 100Steps. 45 steps
  • 100Execution cost. Instruction body is 2016 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 382: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (9 code blocks)
  • +3All 5 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
The skill is a disclosed WorkBuddy theming tool, but it modifies the installed app package and uses a scheduled task to restart the app, so it belongs in Review before installation.
LLM: suspicious (high) · VirusTotal: · 16 Jul 2026