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AB solana-payments-wallets-trading

Pay people in SOL or USDC, buy and sell tokens, check prices, discover trending and new tokens, create and manage Solana wallets, stake SOL, earn yield through lending and managed vaults, borrow against collateral, set up DCA (dollar-cost averaging) and limit orders, provide liquidity across multiple DEXes, trade prediction markets, pay for APIs via x402, set up security permissions and spending limits, and track portfolio performance — all from the command line. No API keys, no private key env vars. Use when the user wants to send crypto, swap or trade tokens, browse what's trending, check balances, earn yield, borrow, set up recurring buys or limit orders, provide liquidity, bet on predictions, pay for web resources, or see how their holdings are doing.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 12 files body ≈ 4 457 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Pay people in SOL or USDC, buy and sell tokens, check prices, discover trending and new tokens, create and manage Solana wallets, stake SOL, earn yield…

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, running it twice

IntegrationAI and agentsFinancetype 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
90/100
safety, quality, tests
Safety 60%
88
Quality 40%
92
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
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 · 12

    ✓ No critical or high findings

    Medium and low: 12
    • low Secrets in code secret-high-entropy-token references/lp-commands.md:60
      High-entropy token-like string (may be an id, hash or a credential)
      orca      HJPj…ump  SOL/USDC   clmm  $25.0M  12.00%  $8.0M       0.04%
    • low Secrets in code secret-high-entropy-token references/lp-commands.md:61
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      raydium   9xK4…f12  SOL/USDC   clmm  $18.2M   9.50%  $5.2M       0.05%
      placeholder
    • low Secrets in code secret-high-entropy-token references/lp-commands.md:62
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      meteora   4bC7…234  SOL/USDC   dlmm  $12.1M  15.20%  $6.8M       0.03%
      placeholder
    • low Secrets in code secret-high-entropy-token references/staking-commands.md:113
      High-entropy token-like string (may be an id, hash or a credential)
      sol stake new 10 --validator DPms…Kcf
    • low Secrets in code secret-high-entropy-token references/trading-commands.md:46
      High-entropy token-like string (may be an id, hash or a credential)
      1  FART    Fartcoin   9BB6…ump  $0.14    +6.7%      $23.4M      96%  165,304
    • low Secrets in code secret-high-entropy-token references/trading-commands.md:47
      High-entropy token-like string (may be an id, hash or a credential)
      2  BONK    Bonk       DezX…263  $0.00002 +3.2%      $18.1M      89%  820,451
    • low Secrets in code secret-high-entropy-token references/trading-commands.md:48
      High-entropy token-like string (may be an id, hash or a credential)
      3  WIF     dogwifhat  EKpQ…cjm  $1.23    -1.5%      $12.7M      92%  432,100
    • low Secrets in code secret-high-entropy-token references/trading-commands.md:187
      High-entropy token-like string (may be an id, hash or a credential)
      Mint:     DezX…263
    • low Secrets in code secret-high-entropy-token references/trading-commands.md:206
      High-entropy token-like string (may be an id, hash or a credential)
      SOL     12.500000     So11…112
    • low Secrets in code secret-high-entropy-token references/troubleshooting.md:46
      High-entropy token-like string (may be an id, hash or a credential)
      sol token swap 50 usdc EPjF…t1v
    • low Secrets in code secret-high-entropy-token SKILL.md:406
      High-entropy token-like string (may be an id, hash or a credential)
      sol config set allowlist.tokens So11…112,EPjF…t1v,DezX…263
    • low Secrets in code secret-high-entropy-token SKILL.md:407
      High-entropy token-like string (may be an id, hash or a credential)
      sol config set allowlist.addresses DRtX…7Vr,7xKX…AsU

    Files scanned: 12. 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 66/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 10 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, 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
    • 70Execution cost. Instruction body is 4457 tokens
    • 85Steps. 7 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 23 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (4 tags): a typed call is more reliable

    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)
    • +2Single-language instructions
    • +3Description length 765: enough signal without eating the budget
    • +4Structure: 30 headings
    • +3Step-by-step instructions: 7 items
    • +3Output format is stated explicitly
    • +4Has examples (21 code blocks)
    • +4Reference files are cited in the instructions (10 of 10)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.