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AB yield-strategies

Discover, deposit into, and withdraw from DeFi yield generation strategies across multiple chains and protocols. Use when you or the user want to earn yield, find APY, stake tokens, explore DeFi, farm, deposit into a protocol, withdraw earnings, check yield opportunities, or grow their holdings. Covers "how can I earn on my USDC?", "find me yield", "stake my ETH", "where can I get the best APY?", "withdraw from Aave".

ClawHub Agent Skills author: Rachid Jarray v0.1.0 MIT-0 2 files body ≈ 1 254 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 71/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

GeneratorLegaltype 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
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
89
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token SKILL.md:33
      High-entropy token-like string (may be an id, hash or a credential)
      fdx call discoverYieldStrategies --chainKey ethereum --tokenAddress 0xA0…B48
    • low Secrets in code secret-high-entropy-token SKILL.md:101
      High-entropy token-like string (may be an id, hash or a credential)
      --tokenAddress 0xA0…B48 \

    Files scanned: 2. 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 71/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 13 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1254 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

    • +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
    • +5Description quotes 5 example trigger phrases
    • +3Description length 421: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill can help manage DeFi yield positions and move crypto funds, but its capabilities are disclosed, scoped, and aligned with its stated purpose.
    LLM: benign (high) · VirusTotal: · 29 May 2026