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BD x402-api-builder

Build your own pay-per-call API with the x402 standard: FastAPI + payment manifest + API keys + MCP wrapper. Sell your data/services per call (USDC). Template with ON-CHAIN payment verification (secure-by-default).

ClawHub Agent Skills author: Northcap Group v1.0.13 MIT-0 5 files body ≈ 439 tokens Open the sourceclawhub.ai↗ analyzed 35 h ago

Build your own pay-per-call API with the x402 standard: FastAPI + payment manifest + API keys + MCP wrapper.

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentsPersonal productivitytype 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%
97
Quality 40%
75
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token scripts/server.py:61
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "ethereum": ("0xA0…B48", 6),
    quoted
  • low Secrets in code secret-high-entropy-token scripts/server.py:62
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "base":     ("0x83…913", 6),
    quoted
  • low Secrets in code secret-high-entropy-token scripts/server.py:63
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "bsc":      ("0x8A…80d", 18),
    quoted

Files scanned: 5. 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
  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 85Steps. 11 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 439 tokens
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 214: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (2 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed template for running a paid API and MCP wrapper, with one credential-routing footgun users should configure carefully.
LLM: benign (high) · VirusTotal: · 21 Aug 2026