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AB breeze-x402-payment-api

Operates Breeze x402 payment-gated endpoints for balance checks, deposits, and withdrawals on Solana. Use when the user asks to manage Breeze positions or execute paid x402 API calls.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 3 files body ≈ 4 504 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Operates Breeze x402 payment-gated endpoints for balance checks, deposits, and withdrawals on Solana.

As a process B 77/100 · Nearly there — weak spots: progress reporting

IntegrationSoftware developmenttype 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%
94
Quality 40%
87
Run on models
none yet
Process rating
B
77/100
Nearly there
Progress reporting w 2
0
Tools and files w 18
60
Result and completion w 14
60
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Secrets in code secret-high-entropy-token SKILL.md:64
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      -d '{"jsonrpc":"2.0","id":1,"method":"getTokenAccountsByOwner","params":["YOUR_WALLET_ADDRESS",{"mint":"EPjF…t1v"},{"encoding":"jsonParsed"}]}'
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:100
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const USDC_MINT = 'EPjF…t1v';
      quoted
    • low Exfiltration read-dotenv SKILL.md:155
      Reads a .env file
      export $(cat .env | xargs) && node deposit.js
    • low Secrets in code secret-high-entropy-token SKILL.md:226
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const BASE_ASSET = process.env.BASE_ASSET ?? "EPjF…t1v";
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:276
      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:300
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      base_asset: "EPjF…t1v",
      quoted

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

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 23, 66, 69, 127, 192, 193): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 77/100

    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4504 tokens
    • 100Steps. 58 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 17 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 183: enough signal without eating the budget
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 58 items
    • +3Output format is stated explicitly
    • +4Has examples (18 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.