Skill: wpank/research-token (version 0.1.0)

--- name: research-token description: 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. model: opus allowed-tools: [Task(subagent_type:token-analyst)] --- # 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 | Parameter | Required | Default | Description | | --------- | -------- | ------------ | ---------------------------------------------- | | token | Yes | — | Token name, symbol, or contract address | | chain | No | All chains | Specific chain or "all" for cross-chain view | | focus | No | Full 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 ```text 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 | Error | User-Facing Message | Suggested 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 |

path: README.md
content: # Research Token

Research a token's Uniswap liquidity, volume profile, pool distribution, and risk factors.

→ **[SKILL.md](SKILL.md)** — Full skill specification and workflow.

## Installation

Install into Claude Code or Cursor with:

```bash
npx skills add https://github.com/wpank/Agentic-Uniswap/tree/main/.ai/skills/research-token
```

Or via Clawhub:

```bash
npx clawhub@latest install research-token
```

## When to use

Use this skill when:

- You want **due diligence on a token's tradability** on Uniswap.
- You need to know **where liquidity lives** (which chains and pools) and how deep it is.
- You care about **volume, volatility, and basic risk flags** before trading or LPing.

## Example prompts

- "Research PEPE on Uniswap—where is its liquidity and how much volume does it see?"
- "Before I trade, show me the Uniswap liquidity and risk profile for this token address on Base."
- "Compare the Uniswap presence of UNI across mainnet, Arbitrum, and Optimism."


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)