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BD x402-client

x402 payment client for AI agents — how to automatically respond to HTTP 402 challenges, pay via CDP/Permit2, retry with PAYMENT-SIGNATURE, and settle the full x402 flow. For consuming pay-per-request APIs without API keys or subscriptions.

ClawHub Agent Skills author: marketingkioldenburg v1.0.0 MIT-0 2 files body ≈ 951 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

x402 payment client for AI agents — how to automatically respond to HTTP 402 challenges, pay via CDP/Permit2, retry with PAYMENT-SIGNATURE, and settle the…

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, 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
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
72
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token SKILL.md:48
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "asset": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:49
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "payTo": "0x1c…a36",
    quoted

Files scanned: 2. 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")

Process rating: all ten parameters 48/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 951 tokens

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 240: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This skill is coherent and not deceptive, but it teaches agents to make irreversible crypto payments automatically without clearly requiring user approval or spend limits.
LLM: suspicious (high) · 4 Aug 2026