SKILLEMALL.ai

AC okx-security

Use this skill for security scanning: check transaction safety, is this transaction safe, pre-execution check, security scan, token risk scanning, honeypot detection, DApp/URL phishing detection, message signature safety, malicious transaction detection, approval safety checks, token approval management. Triggers: 'is this token safe', 'check token security', 'honeypot check', 'scan this tx', 'scan this swap tx', 'tx risk check', 'is this URL a scam', 'check if this dapp is safe', 'phishing site check', 'is this signature safe', 'check this signing request', 'check my approvals', 'show risky approvals', 'revoke approval', 'check if this approve is safe', token authorization, ERC20 allowance, Permit2. Covers token-scan, dapp-scan, tx-scan (EVM+Solana pre-execution), sig-scan (EIP-712/personal_sign), approvals (ERC-20/Permit2). Chinese: 安全扫描, 代币安全, 蜜罐检测, 貔貅盘, 钓鱼网站, 交易安全, 签名安全, 代币风险, 授权管理, 授权查询, 风险授权, 代币授权. Do NOT use for wallet balance/send/history — use okx-agentic-wallet.

ClawHub Agent Skills author: ok-james-01 v3.1.3 MIT-0 6 files body ≈ 2 834 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, running it twice

AnalyzerSecurityInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
97
Quality 40%
90
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
When it triggers w 12
50
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token references/risk-token-detection.md:266
      High-entropy token-like string (may be an id, hash or a credential)
      1. PEPE on Ethereum (0x69…933)
    • low Secrets in code secret-high-entropy-token references/risk-token-detection.md:267
      High-entropy token-like string (may be an id, hash or a credential)
      2. PEPE on BSC (0x25…B00)
    • low Secrets in code secret-high-entropy-token references/risk-transaction-detection.md:156
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      onchainos security tx-scan --chain solana --from EeBC…F43 --encoding base64 --transactions "CAurZp2HY+l9yM…BCA=="
      detector

    Files scanned: 6. 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 64/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 3 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 33 steps, 1 vague phrases
    • 100Failures and branches. 11 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2834 tokens
    • 100Progress reporting. Reports progress

    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 986: 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: 13 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This is a real crypto security helper, but it asks an agent to run an unreviewed remote installer and includes wallet-connected transaction paths that need careful review.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026