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AC n0ir-defi-yield-scout

n0ir DeFi Yield Scout — built by n0ir Labs (n0ir.ai). Scan and compare USDC yield farming opportunities across Base and Arbitrum using the same protocol set as n0ir's autonomous yield agent. Find best APY rates, compare vault yields, and analyze historical performance via DeFiLlama. Covers n0ir-whitelisted protocols: Morpho, Euler v2, Aave v3, Compound v3, Moonwell, Silo v2, Lazy Summer, Harvest Finance, 40 Acres, Wasabi, Yo Protocol. Use for yield farming comparison, stablecoin returns, USDC rates, vault APY ranking, breakeven analysis, APY trend history, protocol risk overview, DeFi yield optimization, n0ir vault strategy, ERC-4626 vault comparison, TVL-weighted ranking, cross-chain yield comparison, gas-adjusted net returns.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 1 207 tokens Open the sourcegithub.com↗ analyzed 2 d ago

n0ir DeFi Yield Scout — built by n0ir Labs (n0ir.ai). Scan and compare USDC yield farming opportunities across Base and Arbitrum using the same protocol set…

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerAI 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
96/100
safety, quality, tests
Safety 60%
97
Quality 40%
94
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token references/protocols.md:111
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **USDC address:** `0x83…913` (native Circle USDC)
      quoted
    • low Secrets in code secret-high-entropy-token references/protocols.md:116
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **USDC address (native):** `0xaf…831`
      quoted
    • low Secrets in code secret-high-entropy-token references/protocols.md:117
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **USDC.e address (bridged):** `0xFF…CC8`
      quoted

    Files scanned: 3. 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 52/100

    • 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
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 20 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1207 tokens
    • 100Running it twice. No mutating operations

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 737: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 20 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.