Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Uniswap Analyze Pool
Analyze a specific Uniswap pool's performance, liquidity depth, fee APY, and risk factors. Use when the user asks about pool metrics, TVL, volume, or whether a pool is good for LPing.
skill openclawclawhub Free
Analyze a specific Uniswap pool's performance, liquidity depth, fee APY, and risk factors. Use when the user asks about pool metrics, TVL, volume, or whether a pool is good for LPing.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- wpank
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
Provides a detailed analysis of a specific Uniswap pool by delegating to the pool-researcher agent. Returns TVL, volume, fee APY, liquidity depth, concentration metrics, and risk factors.
When to Use
Activate when the user asks: "Analyze the ETH/USDC pool" "What's the TVL of X/Y pool?" "How much volume does the WETH/USDC pool do?" "What's the fee APY for ETH/USDC?" "Is this pool good for LPing?" "Pool info for ETH/USDC on Base" "How deep is the liquidity in this pool?"
Parameters
ParameterRequiredDefaultDescriptiontoken0Yes—First token name, symbol, or addresstoken1Yes—Second token name, symbol, or addresschainNoethereumChain name (ethereum, base, arbitrum, etc.)feeTierNoAuto-detectFee tier (e.g., "0.05%", "30bp", "3000")versionNoAuto-detectProtocol version: "v2", "v3", or "v4"
Workflow
Extract parameters from the user's request: identify token0, token1, chain, fee tier, and version. Delegate to pool-researcher: Invoke Task(subagent_type:pool-researcher) with the extracted parameters. The pool-researcher will gather on-chain data, calculate metrics, and produce a structured report. Present results: Format the pool-researcher's report into a user-friendly summary covering: Pool identification (address, version, fee tier) Current state (price, TVL, liquidity) Performance (fee APY 7d/30d, volume 24h/7d, utilization) Liquidity depth (trade size at < 1% impact) Risk factors (if any)
Output Format
Present a clean summary: Pool Analysis: WETH/USDC 0.05% (V3, Ethereum) Address: 0x88e6A0c2dDD26FEEb64F039a2c41296FcB3f5640 TVL: $332M Price: $1,963.52 Performance: Fee APY (7d): 21.3% Fee APY (30d): 6.65% Volume (24h): $610M Utilization: 1.84x Liquidity Depth: 1% impact: $5M trade size 5% impact: $25M trade size Concentration: 78.5% within ±2% of price Risk Factors: None identified
Important Notes
This skill delegates entirely to the pool-researcher agent — it does not call MCP tools directly. If the pool doesn't exist, the agent will report this clearly. Fee APY is historical (not guaranteed). The output distinguishes realized vs projected APY.
Error Handling
ErrorUser-Facing MessageSuggested ActionPool not found"No pool found for X/Y on this chain."Try different fee tier or chainToken not recognized"Could not resolve token X."Provide contract addressInsufficient data"Limited data available for this pool."Pool may be too new
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md