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AB cmc-x402

Access CoinMarketCap data via x402 pay-per-request protocol with USDC payments on Base. Use when users mention x402, want CMC data without API keys, ask about pay-per-request APIs, or need to integrate CMC with on-chain payments. Also use for any Coinbase x402 protocol questions. Trigger: "x402", "pay per request", "no API key", "USDC payment", "CMC without subscription", "/cmc-x402"

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 1 075 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Access CoinMarketCap data via x402 pay-per-request protocol with USDC payments on Base.

As a process B 68/100 · Nearly there — weak spots: when it triggers, progress reporting

IntegrationAI 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
95/100
safety, quality, tests
Safety 60%
96
Quality 40%
94
Run on models
none yet
Process rating
B
68/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Failures and branches w 10
55
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 Secrets in code secret-high-entropy-token references/payment-details.md:20
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | USDC Contract | `0x83…913` |
      table
    • low Secrets in code secret-high-entropy-token references/payment-details.md:21
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Payment Recipient | `0x27…908` |
      table
    • low Secrets in code secret-high-entropy-token references/payment-details.md:37
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "asset": "0x83…913",
      quoted
    • low Secrets in code secret-high-entropy-token references/payment-details.md:39
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "payTo": "0x27…908",
      quoted

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "source"

    Process rating: all ten parameters 68/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1075 tokens
    • 100Running it twice. No mutating operations

    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)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 386: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 10 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.