SKILLEMALL.ai

AF okx-cex-market

Use this skill when the user asks for: price of any asset, ticker, order book, candles, OHLCV, funding rate, open interest, OI change scanner, market screener (top movers, high-volume, newly listed), mark price, index price, recent trades, instrument list, stock tokens, metals prices (gold, XAU, XAG), commodities (oil, OIL), forex rates (EUR/USD, EURUSDT), bond instruments, non-crypto assets, or any technical indicator query (RSI, MACD, EMA, Bollinger Bands, KDJ, SuperTrend, AHR999, BTC rainbow, and 70+ more). All commands are read-only and do NOT require API credentials. Do NOT use for account balance/positions (okx-cex-portfolio), placing/cancelling orders (okx-cex-trade), or bots (okx-cex-bot).

ClawHub Agent Skills author: numpy0001 v1.3.8 MIT-0 7 files body ≈ 2 845 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use this skill when the user asks for: price of any asset, ticker, order book, candles, OHLCV, funding rate, open interest, OI change scanner, market screener…

As a process F 55/100 · Will not run — References files that are not bundled: ../_shared/preflight.md

IntegrationData and analyticsAI and agentsSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: ../_shared/preflight.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../_shared/preflight.md

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: ../_shared/preflight.md
  • 0Tools and files. 1 referenced file(s) missing: ../_shared/preflight.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 85Steps. 37 steps, 2 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2845 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (11 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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 706: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +1License stated

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

External checks

ClawHub: suspicious
The skill is mostly a read-only OKX market-data helper, but its install instructions can fetch and globally install an unpinned CLI version that was not the reviewed artifact.
LLM: suspicious (high) · VirusTotal: · 11 Sept 2026