SKILLEMALL.ai

AB okx-cex-skill-mp

Use this skill when the user asks to: 'find a trading skill', 'search for skills', 'install a skill', 'add a skill', 'download a skill', 'browse skill marketplace', 'what skills are available', 'update a skill', 'check for skill updates', 'remove a skill', 'uninstall a skill', 'list installed skills', 'show my skills', 'skill categories', 'verify skill signature', 'verify installed skill', 're-verify a skill', 'check skill integrity', or any request to discover, install, update, verify, or manage AI trading skills from the OKX Skills Marketplace. This skill covers searching, browsing categories, installing via CLI, downloading zip packages, checking for updates, removing installed skills, and verifying Ed25519 signatures of installed skills. Requires API credentials for marketplace API access. Do NOT use for placing orders (use okx-cex-trade), market data (use okx-cex-market), or bot management (use okx-cex-bot).

ClawHub Agent Skills author: searchworld v1.4.6 MIT-0 2 files body ≈ 1 991 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 71/100 · Nearly there — weak spots: result and completion

IntegrationCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Failures and branches w 10
50
Tools and files w 18
60
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-cex-skill-mp (ClawHub)

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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 71/100

    • 0Result and completion. Does not say what the result is
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 23 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1991 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (10 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
    • +3Description length 926: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (23 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    This skill is not clearly malicious, but it can install third-party skills across local agents using under-scoped and mutable installation paths, so it should be reviewed before use.
    LLM: suspicious (high) · 7 Sept 2026