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AB create-test-pool

Deploy a custom Uniswap pool on the local testnet with configurable parameters. Create pools with specific conditions (thin liquidity, wide spreads, exact tick ranges) to test agent behavior under controlled scenarios. Requires a running local testnet.

ClawHub Agent Skills author: wpank v0.1.0 3 files body ≈ 1 722 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 73/100 · Nearly there — weak spots: result and completion, inputs and preconditions

GeneratorInfrastructureAI 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
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
88
Run on models
none yet
Process rating
B
73/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Steps w 15
85
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 SKILL.md:89
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      If the pool requires tokens the deployer might not have, call `mcp__uniswap__fund_test_account` first to ensure the deployer (account #1: `0xf3…266`) has sufficient t
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:108
      High-entropy token-like string (may be an id, hash or a credential)
      Token0: USDC  0xA0…B48  (6 decimals)
    • low Secrets in code secret-high-entropy-token SKILL.md:109
      High-entropy token-like string (may be an id, hash or a credential)
      Token1: WETH  0xC0…Cc2  (18 decimals)

    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 73/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 85Steps. 29 steps, 2 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1722 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 252: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a clearly scoped helper for creating mock Uniswap pools on a local testnet, with no evidence of hidden or malicious behavior.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026