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modbender/skill-library-mcp Agent Skills author: modbender MIT 15 files body ≈ 1 684 tokens Open the sourcegithub.com↗ analyzed 2 d ago

AgentXPay Skill — 让 AI Agent 在 Monad 链上通过 x402 协议自主发现、付费、订阅 AI 服务。支持链上支付、Agent 钱包管理、服务订阅和资金托管。

As a process C 56/100 · Has gaps — 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
83/100
safety, quality, tests
Safety 60%
89
Quality 40%
75
Run on models
none yet
Process rating
C
56/100
Has gaps
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 · 11

✓ No critical or high findings

Medium and low: 11
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:44
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…7pY+zoMV…h0x/Ptw8…8dg==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:68
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…b00+Gxjx…zRc/oZwU…hzA==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:104
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha512-vHk/hA7/1Ack…wbo+jaSh…Gtl+A5zq…HFg==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:122
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…QYA+ISs0/2l3T9/kj42…aQT/dfNXWX/ZZCQ==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:128
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…Dsc+j03S…0oA==}
  • low Secrets in code secret-high-entropy-token references/sdk-api.md:139
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ServiceRegistry | `0x20…F6b` |
    table
  • low Secrets in code secret-high-entropy-token references/sdk-api.md:140
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | PaymentManager | `0x15…7f2` |
    table
  • low Secrets in code secret-high-entropy-token references/sdk-api.md:141
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | SubscriptionManager | `0xb4…7DE` |
    table
  • low Secrets in code secret-high-entropy-token references/sdk-api.md:142
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Escrow | `0xe5…ea4` |
    table
  • low Secrets in code secret-high-entropy-token references/sdk-api.md:143
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | AgentWalletFactory | `0x46…691` |
    table
  • low Risky intent intent-wallet-secrets scripts/run-tool.ts:51
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    PRIVATE_KEY                     — Agent wallet private key
    quoted

Files scanned: 15. 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 "command-dispatch"
  • note frontmatter-key unknown frontmatter key "command-tool"

Process rating: all ten parameters 56/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1684 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)
  • +3Description length 94: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented
  • +1License stated

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