Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Uniswap Scan Opportunities
Scan for LP opportunities, arbitrage, and high-yield pools across all Uniswap deployments. Use when the user asks about the best opportunities, high-yield pools, or arbitrage.
skill openclawclawhub Free
Scan for LP opportunities, arbitrage, and high-yield pools across all Uniswap deployments. Use when the user asks about the best opportunities, high-yield pools, or arbitrage.
⬇ 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
Scans across all Uniswap deployments for LP opportunities, price discrepancies, and high-yield pools. Delegates to the opportunity-scanner agent which analyzes pools, compares prices, and evaluates emerging opportunities.
When to Use
Activate when the user asks: "Find best LP opportunities" "Any arbitrage opportunities?" "Show me high-yield pools" "New pools with good volume" "Where should I LP?" "What are the best opportunities right now?"
Parameters
ParameterRequiredDefaultDescriptiontypeNoall"lp", "arb", "new-pools", or "all"chainsNoAll chainsSpecific chains or "all"riskToleranceNomoderate"conservative", "moderate", "aggressive"minTvlNo$50,000Minimum TVL filter for pool consideration
Workflow
Extract parameters from the user's request: identify opportunity type, chain filter, risk tolerance, and minimum TVL. Delegate to opportunity-scanner: Invoke Task(subagent_type:opportunity-scanner) with the parameters. The agent scans LP opportunities (high APY pools), arbitrage opportunities (>0.5% spread after fees), and emerging pools (>100% volume growth in 7d). Present results: Format as a ranked list of opportunities with risk ratings.
Output Format
Opportunities Found: 5 1. LP: WETH/USDC 0.05% (Ethereum) APY: 21.3% | TVL: $332M | Risk: LOW Why: Highest volume-to-TVL ratio on mainnet 2. LP: ARB/WETH 0.30% (Arbitrum) APY: 35.2% | TVL: $12M | Risk: MEDIUM Why: Growing volume trend (+45% 7d) 3. New Pool: AGENT/WETH 0.30% (Base) APY: 120%* | TVL: $500K | Risk: HIGH Why: New pool with strong early volume (*projected, limited data)
Important Notes
All APY figures are historical estimates, not guaranteed returns. High-APY opportunities often carry higher risk (IL, low TVL, new tokens). Each opportunity is risk-rated by the agent's internal risk assessment. Arbitrage opportunities are ephemeral and may disappear before execution.
Error Handling
ErrorUser-Facing MessageSuggested ActionNo opportunities found"No opportunities matching your criteria found."Adjust risk tolerance or min TVLChain unreachable"Could not scan [chain]. Data may be incomplete."Try again or narrow chain scope
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