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BF neckr0ik-x402-payments

x402 payment protocol for AI agents. Enables autonomous micropayments using HTTP 402 status codes and stablecoins. Use when you need to pay for API access, accept payments for your services, or interact with x402-enabled endpoints.

ClawHub Agent Skills author: Neckr0ik v1.0.0 4 files body ≈ 1 229 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/x402-spec.md, references/facilitators.md

IntegrationSoftware developmentAI and agentsInfrastructuretype 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%
90
Quality 40%
78
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/x402-spec.md, references/facilitators.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Risky intent medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

How to improve

  1. The text references files that are not there: add them or drop the references.
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
  • medium Risky intent intent-wallet-secrets skill-card.md:23
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    Mitigation: Do not enter a funded wallet private key; use isolated test wallets and review local configuration and history files before any use. <br>
  • medium Risky intent intent-wallet-secrets SKILL.md:160
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    # Set wallet private key (stored securely)

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/x402-spec.md
  • warning missing-ref reference to a missing file: references/facilitators.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/x402-spec.md, references/facilitators.md
  • 0Tools and files. 2 referenced file(s) missing: references/x402-spec.md, references/facilitators.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1229 tokens
  • 100Running it twice. No mutating operations
  • 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 231: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (12 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This payment skill is not clearly malicious, but it presents itself as a real autonomous payment tool while the implementation mostly simulates payments and gives weak guidance for wallet secrets and local records.
LLM: suspicious (high) · VirusTotal: · 29 May 2026