A protocol-truth-enforcer skill for evaluating Raydium liquidity pools and identifying structural risks before capital deployment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install raydium
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install raydium using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Raydium Pool Liquidity Auditor?
Raydium is a specialized protocol-truth-enforcer designed for the Openclaw Skills ecosystem to audit Solana-based liquidity positions. It serves as a critical diagnostic layer for DeFi participants who need to move beyond superficial APR metrics and evaluate the actual structural integrity of a pool. By interrogating pool depth, concentration quality, and execution risks, this skill helps users make cleaner LP decisions and avoid capital traps.
This skill is particularly effective for users who prioritize liquidity depth and resilience over hype. It enables an AI agent to reason about pool quality in plain language, identifying whether a pool is durable, shallow, or dangerously dependent on narrow price ranges. It functions as a technical auditor that ensures capital is only deployed into environments that meet specific risk-adjusted criteria.
Raydium Pool Liquidity Auditor Use Cases
- Pre-LP audit to assess pool health before adding significant capital.
- Detailed concentration-risk review for Raydium concentrated liquidity positions.
- Slippage-risk screening to determine if pool depth can support intended trade sizes.
- Strategic evaluation of pool durability under high-volatility scenarios.
- Screening token pairs for structural fragility and misleading liquidity metrics.
How Raydium Pool Liquidity Auditor Works
- Parse the setup: The skill extracts the token pair, intended size, and user objectives from the input.
- Assess pool quality: It reviews depth quality, concentration risk, and pair-level structural fragility.
- Identify weak points: The logic flags concerns such as thin depth, high concentration, or unstable token pairs.
- Translate into decision language: It provides a clear recommendation—deploy, monitor, or avoid—based on the risk profile.
- Guardrails: The skill clearly identifies missing on-chain information to prevent faking precision in the assessment.
Raydium Pool Liquidity Auditor Setup
To integrate this capability into your agent, include the Raydium SKILL.md in your Openclaw Skills directory. This skill requires manual input of pool data or integration with a data provider to function effectively.
# Example of how to structure an audit request for the skill
# The agent uses the SKILL.md protocol to process the following:
Analyze Raydium Pool: [PAIR_ADDRESS]
Intended Capital: [AMOUNT] [TOKEN]
User Objective: [Yield / Stability / Execution]
Raydium Pool Liquidity Auditor Data Schema & Taxonomy
The skill produces a structured RAYDIUM POOL ASSESSMENT report. It organizes data according to the following taxonomy to ensure clarity within Openclaw Skills workflows:
| Component | Details Included |
|---|---|
| Liquidity Truth | Qualitative ratings for Depth, Concentration, and Execution Risk. |
| Main Concerns | Specific warnings regarding structural uncertainty or volatility exposure. |
| Why This Matters | Analysis of how the pool will behave under size or market stress. |
| Recommended Route | Actionable advice: Deploy Now, Deploy Smaller, Monitor, or Avoid. |
| Next Check | Critical data points that must be verified before capital is committed. |
Raydium Pool Liquidity Auditor Advanced Features
- Concentrated Liquidity range analysis to evaluate positioning risk versus capital efficiency.
- Size-to-Depth ratio evaluation to predict how specific capital injections will impact pool stability.
- Protocol Truth Principles heuristic engine that prioritizes usable liquidity over reported TVL.
- Adaptive risk-weighting based on whether the user is optimizing for yield or execution quality.
SKILL.md
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