SKILLEMALL.ai

AB okx-cex-auth

Use this skill when the user wants to 'login/log in/sign in', 'authenticate', 'authorize', 'connect OKX account', 'set up credentials', 'first time setup', 'configure okx', '登录', '授权', '认证', '连接账户', '首次配置'. Also when any OKX CLI command fails with an auth error: 'Run okx auth login first', 'Session expired', 'not authenticated', 'requires_auth', '401 Unauthorized', 'token expired/not found', 'StorageNotFoundError', '会话过期', '未认证', '需要登录'. Also when the user asks about login status or the login was interrupted. Also when the user wants to install/update/check/remove the okx-auth binary — 'install/update/remove auth', 'download okx-auth', '安装/更新/卸载认证', 'auth binary status', 'Failed to spawn okx-auth'. Also use before using okx-cex-trade/portfolio/earn/bot for the first time. Do NOT use for market data queries (use okx-cex-market).

ClawHub Agent Skills author: searchworld v1.4.6 MIT-0 2 files body ≈ 4 224 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion, running it twice

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
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 · 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 69/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4224 tokens
    • 85Steps. 37 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 5 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 12 top-level sections: this looks like several domains in one skill
    • high The skill tells the model to perform an irreversible action with no human approval
    • 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
    • +3Description length 839: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (12 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The skill is mostly coherent for OKX authentication, but it handles high-impact exchange access with unsafe credential-entry guidance and under-verified executable installation paths.
    LLM: suspicious (high) · 7 Sept 2026