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BD Vincent - A wallet for agents

Use this skill to safely create a wallet the agent can use for transfers, swaps, and any EVM chain transaction. Also supports raw signing and polymarket betting.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 4 409 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Use this skill to safely create a wallet the agent can use for transfers, swaps, and any EVM chain transaction.

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorTelegramAI 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
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
79
Run on models
none yet
Process rating
D
44/100
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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token SKILL.md:126
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "sellToken": "0xEe…EeE",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:127
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "buyToken": "0xA0…B48",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:137
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "sellToken": "0xEe…EeE",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:138
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "buyToken": "0xA0…B48",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:145
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - `sellToken` / `buyToken`: Token contract addresses. Use `0xEe…EeE` for native ETH.
      quoted

    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)

    Process rating: all ten parameters 44/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 19 mutating operations with no state check
    • 40Consistency. Frontmatter name (Vincent - A wallet for agents) differs from the folder (vincent)
    • 70Execution cost. Instruction body is 4409 tokens
    • 85Steps. 69 steps, 3 vague phrases
    • 100Tools and files. No external tools needed
    • 100Progress reporting. Reports progress
    • 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 162: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 69 items
    • +4Has examples (25 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.