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Uniswap Research Token

Research a token's Uniswap liquidity, volume profile, pool distribution, and risk factors. Use when the user asks about a token's tradability, liquidity depth, or wants due diligence.

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High Signal

Research a token's Uniswap liquidity, volume profile, pool distribution, and risk factors. Use when the user asks about a token's tradability, liquidity depth, or wants due diligence.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Overview

Performs comprehensive due diligence on a token from a Uniswap protocol perspective. Delegates to the token-analyst agent to analyze liquidity across all pools, volume trends, and risk factors.

When to Use

Activate when the user asks: "Research UNI token" "Is there enough liquidity for X?" "Token analysis for PEPE" "Due diligence on this token" "What pools trade X?" "How liquid is X on Uniswap?" "Is X safe to trade?"

Parameters

ParameterRequiredDefaultDescriptiontokenYes—Token name, symbol, or contract addresschainNoAll chainsSpecific chain or "all" for cross-chain viewfocusNoFull analysis"liquidity", "volume", or "risk"

Workflow

Extract parameters from the user's request: identify the token and any chain/focus filters. Delegate to token-analyst: Invoke Task(subagent_type:token-analyst) with the token identifier. The agent resolves the token, discovers all pools, analyzes liquidity and volume, and produces a risk assessment. Present results: Format the token-analyst's report into a user-friendly summary.

Output Format

Token Research: UNI (Uniswap) Address: 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984 Chains: Ethereum, Arbitrum, Optimism, Polygon, Base Pools: 24 active pools across all chains Liquidity: Total TVL: $85M across all pools Best pool: WETH/UNI 0.3% (49.4% of liquidity) Depth (1%): $2.5M trade size Fragmentation: Moderate Volume: 24h: $15M | 7d: $95M | 30d: $380M Trend: Stable Turnover: 0.18x daily Risk Factors: - Moderate pool concentration (49.4% in one pool) — LOW severity Trading: Suitable for trades up to $2.5M with < 1% price impact

Important Notes

Delegates entirely to token-analyst — no direct MCP tool calls. The analysis is from a Uniswap protocol perspective only — not a general investment analysis. Risk factors are based on observable on-chain metrics, not price predictions.

Error Handling

ErrorUser-Facing MessageSuggested ActionToken not found"Could not find token X on Uniswap."Provide contract addressNo pools"No Uniswap pools found for this token."Token may not be listedInsufficient data"Limited trading data available for this token."Token may be too new

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • README.md Docs