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AI-native lending on Base MAINNET for autonomous agents. Check credit, request USDC loans (EIP-712 signed via Coinbase CDP), and repay autonomously. Real money.

ClawHub Agent Skills author: Ricardo Pari v2.5.0 MIT-0 13 files · 10 scripts body ≈ 2 626 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

AI-native lending on Base MAINNET for autonomous agents.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAWSAI 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
C
84/100
safety, quality, tests
Safety 60%
93
Quality 40%
71
Run on models
none yet
Process rating
C
53/100
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token bin/claim-sponsor.js:14
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const VERIFYING_CONTRACT = "0x80…432";
    quoted
  • low Secrets in code secret-high-entropy-token bin/inbox-sign.js:9
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const VERIFYING_CONTRACT = "0x80…432";
    quoted
  • low Secrets in code secret-high-entropy-token bin/pay.js:9
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const USDC = "0x83…913"; // Circle USDC, Base mainnet
    quoted
  • low Secrets in code secret-high-entropy-token bin/repay.js:10
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const USDC = "0x83…913"; // Circle USDC, Base mainnet
    quoted
  • low Secrets in code secret-high-entropy-token bin/request-loan.js:14
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const VERIFYING_CONTRACT = "0x80…432";
    quoted
  • low Secrets in code secret-high-entropy-token bin/sign-loan.js:12
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const VERIFYING_CONTRACT = "0x80…432"; // ERC-8004 domain
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:219
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Network:** Base MAINNET — real USDC (`0x83…913`), real consequences.
    quoted

Files scanned: 13. 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 "requires"

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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 11 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2626 tokens
  • 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 160: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (17 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill is mostly coherent with its real-money lending purpose, but it includes a repayment helper that can send USDC based on remote server data without a final local confirmation or spending limit.
LLM: suspicious (high) · 11 Oct 2026