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BC Crypto Wallets & Payments for AI Agents

Create wallets, transfer tokens, and enable payments between agents. Perfect for bug bounty programs, rewards systems, and agent-to-agent transactions.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 360 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Create wallets, transfer tokens, and enable payments between agents.

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

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
82/100
safety, quality, tests
Safety 60%
92
Quality 40%
67
Run on models
none yet
Process rating
C
51/100
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Risky intent intent-offensive-security SKILL.md:4
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    agents. Perfect for bug bounty programs, rewards systems, and agent-to-agent
  • low Risky intent intent-offensive-security SKILL.md:10
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Create wallets, transfer tokens, and enable payments between agents. Perfect for bug bounty programs, rewards systems, and agent-to-agent transactions.
  • low Risky intent intent-wallet-secrets SKILL.md:77
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    1. First ask: "Do you have an existing wallet private key, or should I create a new one?"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:107
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    mcporter call 'onlyswaps.get_quote(fromToken: "0xEe…EeE", toToken: "0x83…913", amount: "1000000000000000", chainId: 8453)'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:112
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    mcporter call 'onlyswaps.get_portfolio(userAddress: "0xd8…045")'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:128
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    PRIVATE_KEY=0x... mcporter call 'onlyswaps.transfer(tokenAddress: "0x83…913", toAddress: "0xRe…ess", amount: "1000000", chainId: 8453)'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:133
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    PRIVATE_KEY=0x... mcporter call 'onlyswaps.swap(fromToken: "0x83…913", toToken: "ETH", amount: "100000000", chainId: 8453, referrerAddress: "0xYo…let", extra
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:152
    High-entropy token-like string (may be an id, hash or a credential)
    | Native (ETH) | 0xEe…EeE | 0xEe…EeE |

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 51/100

  • 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. 9 mutating operations with no state check
  • 40Consistency. Frontmatter name (Crypto Wallets & Payments for AI Agents) differs from the folder (crypto-agent-payments)
  • 55Failures and branches. 1 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 1360 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 151: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.