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BC usdc-dance-evvm-payment

Pay with USDC.d via x402 protocol on Story Aeneid EVVM using Privy server wallets. Uses BridgeUSDC (custom bridge) until LayerZero supports Story Aeneid.

ClawHub Agent Skills author: Arun Nadarasa v0.1.0 1 file body ≈ 1 455 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 62/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

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
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
71
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 SKILL.md:54
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    adapterAddress: '0x00…314', // Bridge EVVM adapter
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:55
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    usdcDanceAddress: '0x5f…C40', // BridgeUSDC
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:56
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    evvmCoreAddress: '0xa6…A3b',
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:73
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    adapterAddress: '0x00…314', // Bridge EVVM adapter
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:74
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    usdcDanceAddress: '0x5f…C40', // BridgeUSDC
    quoted

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "requires"

Process rating: all ten parameters 62/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (usdc-dance-evvm-payment) differs from the folder (openclaw-skill-usdc-dance-evvm)
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 45 steps
  • 100Execution cost. Instruction body is 1455 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 153: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This is a purpose-aligned crypto payment skill, but it gives agents autonomous wallet/payment authority without strong built-in limits or reviewed implementation files.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026