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AC breeze-x402-payment-api

Interact with the Breeze yield aggregator through the x402 payment-gated HTTP API. Use when the user wants to check DeFi balances, deposit tokens, withdraw tokens, or manage Solana yield positions via x402 micropayments.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 837 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Interact with the Breeze yield aggregator through the x402 payment-gated HTTP API.

As a process C 60/100 · Has gaps — weak spots: result and completion, consistency, 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
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
84
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Consistency w 8
40
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token SKILL.md:40
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const USDC_MINT = new PublicKey("EPjF…t1v");
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:81
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      base_asset: "EPjF…t1v",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:104
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      base_asset: "EPjF…t1v",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:130
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      **WSOL handling:** When withdrawing wrapped SOL (`So11…112`), pass `unwrap_wsol_ata: true` to receive native SOL instead.
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:175
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | USDC | `EPjF…t1v` | 6 |
      table

    Files scanned: 1. 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 60/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (breeze-x402-payment-api) differs from the folder (breeze)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 8 steps
    • 100Execution cost. Instruction body is 1837 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 220: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.