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AA agentic-lending-evk-readonly

Read-only EVK-first agentic lending workflow planning and verification for Api3-backed markets. Use when a user wants an agent to resolve the oracle route for selected collateral and borrow assets, inspect Api3 feed readiness and funding classification, prepare the Euler oracle and EVK market artifacts, assess deployability, or plan post-deploy borrow-proof requirements without ever using signer-backed execution, browser-funded purchase completion, transaction submission, or live borrow canaries. Do not use for Morpho, unsupported recipes, or any request that requires sending transactions.

ClawHub Agent Skills author: dave v0.1.0 MIT-0 6 files body ≈ 2 095 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process A 86/100 · Runs to the end — weak spots: running it twice, progress reporting

ProcedureInfrastructureAI 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
92/100
safety, quality, tests
Safety 60%
93
Quality 40%
91
Run on models
none yet
Process rating
A
86/100
Runs to the end
Progress reporting w 2
0
Running it twice w 4
30
Result and completion w 14
60
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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Secrets in code secret-high-entropy-token references/api_reference.md:92
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { "symbol": "USDC", "address": "0xaf…831" }
      quoted
    • low Secrets in code secret-high-entropy-token references/arbitrum-eusdc1-isolated-example.json:4
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      "accountAddress": "0x00…EaD",
      fixturequoted
    • low Secrets in code secret-high-entropy-token references/arbitrum-eusdc1-isolated-example.json:23
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      "address": "0xaf…831",
      fixturequoted
    • low Secrets in code secret-high-entropy-token references/arbitrum-eusdc1-isolated-example.json:30
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      "address": "0x9d…5Fe"
      fixturequoted
    • low Secrets in code secret-high-entropy-token references/arbitrum-eusdc1-isolated-example.json:34
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      "address": "0x0a…899"
      fixturequoted
    • low Secrets in code secret-high-entropy-token references/arbitrum-eusdc1-isolated-example.json:39
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      "address": "0x78…dFF"
      fixturequoted
    • low Secrets in code secret-high-entropy-token references/current_capabilities.md:22
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - `Api3…ace` deployment can be assessed as executable
      quoted

    Files scanned: 6. 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 86/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 25 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 97 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 9 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2095 tokens
    • 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 596: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 97 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is a high-impact crypto planning skill, but the artifacts are documentation-only and repeatedly limit use to read-only planning, dry-run inspection, and handoff guidance.
    LLM: benign (medium) · VirusTotal: · 29 May 2026