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AC trust-escrow

Create and manage USDC escrows for agent-to-agent payments on Base Sepolia. 30% gas savings, batch operations, dispute resolution.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 820 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Create and manage USDC escrows for agent-to-agent payments on Base Sepolia.

As a process C 53/100 · 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
A
90/100
safety, quality, tests
Safety 60%
95
Quality 40%
82
Run on models
none yet
Process rating
C
53/100
Has gaps
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:25
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **Address:** `0x63…D64`
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:27
      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 SKILL.md:47
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      address: '0x63…D64',
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:213
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const ESCROW_ADDRESS = '0x63…D64';
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:214
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const USDC_ADDRESS = '0x03…F7e';
      quoted

    Files scanned: 1. 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 53/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 29 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1820 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 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
    • -212 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 130: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (11 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.