# liquidity-analysis

Evaluates Solana DEX liquidity depth, estimates slippage curves, and inspects pool composition before executing trades.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 439 installs · ★ 443
- Author: agiprolabs
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/agiprolabs/claude-trading-skills/tree/HEAD/skills/liquidity-analysis/SKILL.md
- Updated: 2026-09-03
- HTML: https://affpapa.org/en/nevibecode/skills/liquidity-analysis

## What it does

The skill inspects token pools across Solana DEXs using DexScreener and Jupiter APIs. It retrieves active pairs on Raydium, Orca, and Meteora, filters out empty liquidity pools, and logs pool age alongside 24-hour trading volume.

To calculate execution costs, the pipeline queries the Jupiter Quote API across varying SOL order sizes. It also separates concentrated liquidity pools (CLMM) from standard constant-product AMMs to flag liquidity drops when spot prices leave active ranges.

While DexScreener and Jupiter endpoints run without authentication, verifying on-chain LP lock statuses requires access to a Solana RPC node.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add agiprolabs/claude-trading-skills --skill liquidity-analysis -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/liquidity-analysis/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/liquidity-analysis/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add agiprolabs/claude-trading-skills --skill liquidity-analysis -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/liquidity-analysis/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add agiprolabs/claude-trading-skills --skill liquidity-analysis -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/liquidity-analysis/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install agiprolabs/claude-trading-skills liquidity-analysis
```

2. **Manually: put the files in place**
- File: `.github/skills/liquidity-analysis/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add agiprolabs/claude-trading-skills --skill liquidity-analysis -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/agiprolabs/claude-trading-skills --path skills/liquidity-analysis
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/liquidity-analysis/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add agiprolabs/claude-trading-skills --skill liquidity-analysis -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/agiprolabs/claude-trading-skills/tree/HEAD/skills/liquidity-analysis/SKILL.md

## When to use it
- calculate trade slippage across multiple SOL order sizes
- identify active Raydium, Orca, and Meteora pools for a mint address
- detect concentration risks in CLMM liquidity distributions
- inspect pool age and 24-hour volume metrics

## Example prompts
- Analyze liquidity depth for Solana token `DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263`
- Estimate Jupiter slippage curves for buys of 0.5, 1, and 5 SOL on this token mint
- Check the CLMM versus CPMM liquidity ratio for this Solana pair

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: b4c130c7c61c1e5f.

BEGIN THIRD-PARTY FILE b4c130c7c61c1e5f
```text
---
name: liquidity-analysis
description: DEX liquidity depth assessment, slippage estimation, and pool composition analysis for Solana tokens
---

# Liquidity Analysis — DEX Depth Assessment for Solana Tokens

Liquidity analysis answers three critical questions before every trade: **Can I get in at a reasonable price?** **Can I get out when I need to?** and **Is this pool safe?** Without it, you risk excessive slippage, failed exits, and rug pulls.

## Why Liquidity Analysis Matters

**Position sizing**: Maximum position size is bounded by available liquidity. A $10K position in a pool with $20K TVL will move the price significantly. Rule of thumb: keep trade size under 2% of pool depth to limit slippage below 1%.

**Execution cost**: Slippage is a direct cost. On a 5 SOL buy, the difference between 0.3% and 3% slippage is real money lost on every entry and exit.

**Rug risk detection**: Thin liquidity, single pools, unlocked LP tokens, and newly created pools are warning signs. Liquidity analysis catches these before you enter.

**Exit planning**: Entry liquidity may differ from exit liquidity. If LP is unlocked and owned by one wallet, it can be pulled at any time.

## Key Concepts

### Total Value Locked (TVL)

Total value of assets deposited in a pool. For a SOL/TOKEN pool with 100 SOL and 1M TOKEN at $0.01 each, TVL = 100 * SOL_price + 1M * $0.01. TVL alone is insufficient — you need depth at the current price range.

### Liquidity Depth

How much can be traded before moving the price X%. In constant-product AMMs, depth is uniform. In concentrated liquidity (CLMM), depth varies by price range — thick near the current price, thin or zero outside active ranges.

### Concentration Factor (CLMM)

Concentrated liquidity pools focus capital in a narrow price range, providing deeper liquidity within that range but nothing outside it. A pool with $50K TVL concentrated in a +/-5% range provides the same depth as a $500K constant-product pool within that range, but zero depth beyond it.

### Slippage Curve

Slippage is not linear. Plotting slippage against trade size produces a curve that's gentle for small trades and steep for large ones. The shape depends on pool type, TVL, and concentration.

### Pool Composition

Who provides liquidity matters. Locked LP tokens cannot be withdrawn (safer). Single-sided liquidity means the pool is imbalanced. Pool age indicates stability — pools older than 7 days with consistent TVL are more reliable.

## Data Sources

Four complementary data sources, from free to comprehensive:

| Source | Auth Required | Best For | Limitations |
|--------|--------------|----------|-------------|
| DexScreener | None | Quick pool lookup, liquidity.usd | No on-chain pool details |
| Jupiter Quote API | None | Empirical slippage at any size | Aggregate across pools |
| Birdeye | API key | Detailed pool data, trade history | Rate limited on free tier |
```
END THIRD-PARTY FILE b4c130c7c61c1e5f

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