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AD create-mcp-app

This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", "scaffold an MCP App", or needs guidance on MCP Apps SDK patterns, UI-resource registration, MCP App lifecycle, or host integration. Provides comprehensive guidance for building MCP Apps with interactive UIs.

ClawHub Agent Skills author: VelClaw v0.1.0 MIT-0 9 files body ≈ 1 796 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", "scaffold an MCP App", or…

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, consistency

GeneratorAI 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
A
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
83
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Exfiltration read-dotenv readme.md:56
      Reads a .env file
      cp .env.example .env   # điền API key của bạn
    • low Exfiltration read-dotenv README.md:55
      Reads a .env file
      cp .env.example .env   # điền API key của bạn
    • low Obfuscation obf-base64-blob velclawsile.tsx:94
      Long base64-looking blob (quoted — discussed, not commanded)
      const GIF_B64 = "R0lG…AJ1//5KSm…h39/h39/hn5+hX19…d25
      quoted
    • low Secrets in code secret-high-entropy-token velclawsile.tsx:94
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const GIF_B64 = "R0lG…AJ1//5KSm…h39/h39/hn5+hX19…d25
      quoted

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 47/100

    • 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
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (create-mcp-app) differs from the folder (docs-web)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 32 steps, 2 vague phrases
    • 100Execution cost. Instruction body is 1796 tokens

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 337: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    This package is a mixed bundle of unrelated app, skill, cloud-cluster, Terraform, and release-feed content rather than a clean single-purpose skill.
    LLM: suspicious (high) · 3 Sept 2026