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BD okx-market-api

OKX Web3 Wallet Market API 技能 - 用于查询加密货币代币价格、市场数据和交易信息。 当用户需要以下功能时使用此技能： - 查询代币实时价格、K线数据、交易记录 - 获取综合币价（聚合多数据源的指数价格） - 搜索代币、获取代币详情、查看代币排行榜 - 获取持仓大户信息 触发词包括：代币价格、币价、K线、candlestick、行情、market data、OKX API、DEX 数据、 链上数据、token price、index price、token search、holder 等。 支持 Solana、EVM、Sui 等多链生态，覆盖 100+ DEX 和 CEX 数据源。

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files body ≈ 2 770 tokens Open the sourcegithub.com↗ analyzed 2 d ago

OKX Web3 Wallet Market API 技能 - 用于查询加密货币代币价格、市场数据和交易信息。 当用户需要以下功能时使用此技能： - 查询代币实时价格、K线数据、交易记录 - 获取综合币价（聚合多数据源的指数价格） - 搜索代币、获取代币详情、查看代币排行榜 - 获取持仓大户信息…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
65
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: okx-market-api (modbender/skill-library-mcp)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 references/chain-index.md:56
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - 示例: `5mbK…Wdp`
    quoted
  • low Secrets in code secret-high-entropy-token references/chain-index.md:95
    High-entropy token-like string (may be an id, hash or a credential)
    | USDC | EPjF…t1v |
  • low Secrets in code secret-high-entropy-token references/chain-index.md:96
    High-entropy token-like string (may be an id, hash or a credential)
    | USDT | Es9v…NYB |
  • low Secrets in code secret-high-entropy-token scripts/okx_market_api.py:290
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    {"chainIndex": "501", "tokenContractAddress": "5mbK…Wdp"}
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:313
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    {"chainIndex": "501", "tokenContractAddress": "5mbK…Wdp"}
    quoted

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (okx-market-api) differs from the folder (okdex-market)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 60 steps
  • 100Execution cost. Instruction body is 2770 tokens
  • 100Running it twice. No mutating operations
  • low 10 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)
  • +3Output format is not stated: the model decides each time
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 307: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.