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Enable AI agents to make micropayments via x402 protocol. Use when purchasing browser sessions on Browserbase, scraping with Firecrawl, or any x402-compatible API. Handles wallet creation, funding, and automatic payment flows.

modbender/skill-library-mcp Agent Skills author: modbender MIT 11 files body ≈ 3 192 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Enable AI agents to make micropayments via x402 protocol.

As a process B 68/100 · Nearly there — weak spots: running it twice, progress reporting

GeneratorAI 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
81/100
safety, quality, tests
Safety 60%
75
Quality 40%
89
Run on models
none yet
Process rating
B
68/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

    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 · 17

    ✓ No critical or high findings

    Medium and low: 17
    • medium Exfiltration net-credential-use SKILL.md:225
      Credential used in a network call (verify the destination is the intended service)
      curl -s https://api.mail.tm/messages -H "Authorization: Bearer $TOKEN"
    • medium Exfiltration net-credential-use SKILL.md:228
      Credential used in a network call (verify the destination is the intended service)
      curl -s https://api.mail.tm/messages/MESSAGE_ID -H "Authorization: Bearer $TOKEN"
    • low Secrets in code secret-high-entropy-token assets/config-template.json:25
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "base": "0x83…913",
      quoted
    • low Secrets in code secret-high-entropy-token assets/config-template.json:26
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "baseSepolia": "0x03…F7e",
      quoted
    • low Secrets in code secret-high-entropy-token assets/config-template.json:27
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "arbitrum": "0xaf…831"
      quoted
    • low Secrets in code secret-high-entropy-token references/API-REFERENCE.md:139
      High-entropy token-like string (may be an id, hash or a credential)
      X-Payment-Token: 0x83…913
    • low Secrets in code secret-high-entropy-token references/API-REFERENCE.md:172
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Base | 8453 | `0x83…913` | Recommended |
      table
    • low Secrets in code secret-high-entropy-token references/API-REFERENCE.md:173
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Base Sepolia | 84532 | `0x03…F7e` | Testnet |
      table
    • low Secrets in code secret-high-entropy-token references/API-REFERENCE.md:174
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Arbitrum | 42161 | `0xaf…831` | Alternative |
      table
    • low Secrets in code secret-high-entropy-token references/API-REFERENCE.md:175
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Ethereum | 1 | `0xA0…B48` | Higher fees |
      table
    • low Secrets in code secret-password-literal references/SERVICES.md:414
      Hard-coded password / key literal (may be an example)
      PASSWORD="Secu…123!"
    • low Secrets in code secret-high-entropy-token scripts/check-balance.ts:19
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      USDC: "0x83…913",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/check-balance.ts:24
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      USDC: "0x03…F7e",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/check-balance.ts:29
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      USDC: "0xaf…831",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/fund-wallet.ts:61
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      usdc: "0x83…913",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/fund-wallet.ts:68
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      usdc: "0xaf…831",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:298
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "asset": "0x83…913",
      quoted

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 68/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 9 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
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 33 steps, 2 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3192 tokens
    • low 11 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)
    • -36 of 7 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 226: enough signal without eating the budget
    • +4Structure: 34 headings
    • +3Step-by-step instructions: 33 items
    • +3Output format is stated explicitly
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.