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BC usdc-escrow

Trustless USDC escrow for agent-to-agent payments on Base. Create, release, dispute escrows via simple commands.

modbender/skill-library-mcp Agent Skills author: modbender MIT 9 files · 7 scripts body ≈ 578 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Trustless USDC escrow for agent-to-agent payments on Base.

As a process C 51/100 · 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
87/100
safety, quality, tests
Safety 60%
94
Quality 40%
76
Run on models
none yet
Process rating
C
51/100
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

  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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token references/api-docs.md:22
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "beneficiary": "0x74…D28",
    quoted
  • low Secrets in code secret-high-entropy-token references/api-docs.md:50
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "beneficiary": "0x74…D28",
    quoted
  • low Secrets in code secret-high-entropy-token references/api-docs.md:373
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Escrow Contract:** [`0x2a…E04`](https://sepolia.basescan.org/address/0x2a…e04) (verified)
    quoted
  • low Secrets in code secret-high-entropy-token references/api-docs.md:374
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    - **USDC Contract:** [`0x03…F7e`](https://sepolia.basescan.org/address/0x03…F7e)
    detector
  • low Secrets in code secret-high-entropy-token scripts/create-escrow.sh:9
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    echo "Example: $0 0x74…D28 10 'Payment for service' 48"
    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)
    Example: `./scripts/create-escrow.sh 0x74…D28 10 "Payment for data analysis" 48`
    quoted

Files scanned: 9. 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")

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
  • 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
  • 30Running it twice. 7 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 578 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 112: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 7 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.