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AC okx-dex-market-price

Fetch token prices from OKX DEX Market Price API (v6). Use this skill when a user wants to: 1. Get the latest price of one or more tokens on supported EVM/Solana chains 2. Batch query token prices (up to 100 tokens per request) for portfolios or UIs 3. Build applications that need real-time DEX market price data Core value: Correct authenticated POST requests with JSON body, HMAC-SHA256 signing including body in prehash, and proper handling of batch request/response.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 2 352 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Fetch token prices from OKX DEX Market Price API (v6).

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

IntegrationSoftware developmentWriting and documentstype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
Running it twice w 4
30
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 · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "allowed_tools"
    • note frontmatter-key unknown frontmatter key "required_context"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (okx-dex-market-price) differs from the folder (market-test-price)
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 36 steps, 2 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 2352 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 471: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (7 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.