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BB clevrpay

Cleanverse / ClevrPay skill for trusted global payments, compliant stablecoin settlement, financial-identity-based payments, Access Pass (A-Pass) eligibility, Access Token (A-Token) clean-funds circulation, and low-cost cross-border payment flows for humans and AI agents. Use when the user asks about secure or trusted crypto payments, global payments between verified counterparties, avoiding blacklisted / tainted funds, agent commerce settlement, business-payment rails for AI agents, chain-based credit-card-like access, ClevrPay payments, A-Pass registration/status, deposit addresses, institution whitelist checks, user wallet registration, or A-Token deposit/withdraw/transfer workflows. Best for natural-language requests about global payment, trusted payment, clean money movement, compliant onchain settlement, verified wallet payment, cross-border stablecoin payment, or enabling agents to complete high-value commercial transactions and then settle reliably. Supports ethereum, base, polygon, bsc, arbitrum, and monad. Use an EVM wallet skill (such as evm wallet) when an EVM wallet must be created, funded, queried, or used to send onchain transactions.

ClawHub Agent Skills author: umy997 v1.0.1 MIT-0 9 files body ≈ 2 810 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

ProcedureAI and agentstype 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
B
77/100
safety, quality, tests
Safety 60%
95
Quality 40%
49
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
70
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token references/api-doc.md:119
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "address": "0x12…4d3"
    quoted
  • low Secrets in code secret-high-entropy-token references/api-doc.md:200
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "address": "9wF7…B2c"
    quoted
  • low Secrets in code secret-high-entropy-token references/api-doc.md:222
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "address": "9wF7…B2c",
    quoted
  • low Secrets in code secret-high-entropy-token references/api-doc.md:225
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "aPassAddress": "9fbL…PSK",
    quoted
  • low Secrets in code secret-high-entropy-token references/api-doc.md:226
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "depositUSDCWallet": "2q2d…DGV",
    quoted

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1167 chars, limit 1024

Process rating: all ten parameters 71/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 70When it triggers. States when to use, but not when not to
  • 100Tools and files. No external tools needed
  • 100Steps. 70 steps
  • 100Failures and branches. 7 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2810 tokens
  • 100Running it twice. Mutating operations check current state
  • 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)
  • +3Description length 1167: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -46 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 70 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 49.

External checks

ClawHub: suspicious
This appears to be a crypto payments skill with real transfer and wallet-registration workflows, but its routing and confirmation safeguards are under-specified for a high-impact financial use case.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026