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.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
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MIT-0
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medium confidence
Purpose & Capability
Name, description, parameters, and workflow align: the skill's sole job is to extract token parameters and delegate Uniswap-focused analysis to a token-analyst subagent. It does not declare unrelated requirements (no cloud creds, no binaries).
Instruction Scope
SKILL.md is narrowly scoped and delegates all analysis to Task(subagent_type:token-analyst). That keeps this skill simple, but the actual runtime behavior depends on the token-analyst subagent (network calls, RPC endpoints, or credential usage) which is not included for review.
Install Mechanism
Instruction-only skill with no install steps, no downloads, and no code files — lowest-risk install footprint.
Credentials
The skill declares no environment variables, secrets, or config paths. This is proportionate to its stated purpose. Note: the delegated token-analyst subagent may require RPC keys or API tokens at runtime (not visible here).
Persistence & Privilege
always:false and no privileges or config changes are requested. The skill does not request persistent system presence or modification of other skills' configs.
Assessment
This skill itself is small and coherent: it only forwards token identifiers to a token-analyst subagent and formats the returned report. Before installing, review or ask for the token-analyst skill/agent implementation because that component will perform on-chain queries and external network calls and may require RPC/API credentials. If you plan to use this for real trading due diligence, prefer giving explicit contract addresses (not just names) to avoid misidentification, avoid providing high-privilege environment secrets to the agent, and consider running tests on well-known tokens to validate the reports. If you are uncomfortable with autonomous subagent network access, disable autonomous invocation or restrict the agent's environment until you can audit the token-analyst code.

Like a lobster shell, security has layers — review code before you run it.

Current versionv0.1.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

Research Token

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

ParameterRequiredDefaultDescription
tokenYesToken name, symbol, or contract address
chainNoAll chainsSpecific chain or "all" for cross-chain view
focusNoFull analysis"liquidity", "volume", or "risk"

Workflow

  1. Extract parameters from the user's request: identify the token and any chain/focus filters.

  2. 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.

  3. 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 Action
Token not found"Could not find token X on Uniswap."Provide contract address
No pools"No Uniswap pools found for this token."Token may not be listed
Insufficient data"Limited trading data available for this token."Token may be too new

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