Raydium

v1.0.0

Audit Raydium liquidity positions before capital is deployed. Analyze pool depth, concentration, liquidity quality, structural risks, and parameter changes s...

0· 301· 1 versions· 1 current· 1 all-time· Updated 10h ago· MIT-0

Install

openclaw skills install raydium

Raydium

Do not add liquidity to a pool you have not interrogated.

Raydium is a protocol-truth-enforcer skill for liquidity decisions.

This skill is designed for users who want to evaluate Raydium pools before adding liquidity, moving size, or treating a pool as trustworthy.

Use this skill when you need to:

  • assess whether a Raydium pool looks healthy enough for LP deployment
  • evaluate liquidity depth and concentration risk
  • detect structural weakness before adding capital
  • reason about pool quality, not just APR or hype
  • review whether a pool looks durable, shallow, manipulated, or fragile

This skill does NOT:

  • execute trades
  • add or remove liquidity
  • connect to Raydium contracts or wallets
  • guarantee pool safety
  • replace smart contract review or formal DeFi risk assessment

What This Skill Does

Raydium helps:

  • examine the quality of a liquidity pool before capital is deployed
  • evaluate whether apparent liquidity is deep, thin, or misleading
  • identify concentration, slippage, or fragility risks
  • reason about pool structure in plain language
  • separate attractive-looking pools from trustworthy pools

Best Use Cases

  • pre-LP audit before adding liquidity
  • pool quality review for Solana LP strategies
  • concentration-risk review
  • slippage-risk screening
  • evaluating whether pool depth can support intended size
  • reviewing whether a pool is too shallow, too unstable, or too dependent on narrow conditions

What to Provide

Useful input includes:

  • pool pair
  • intended capital size
  • visible pool depth
  • recent activity or fee information
  • whether the pool uses concentrated liquidity
  • any known concerns about token quality, volatility, or parameter changes
  • what the user is optimizing for: yield, stability, or execution quality

If information is incomplete, this skill should state what is missing instead of pretending the pool can be fully assessed.


Standard Output Format

RAYDIUM POOL ASSESSMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Pool: [Pair] Intent: [Provide liquidity / assess pool / screen risk]

LIQUIDITY TRUTH ━━━━━━━━━━━━━━━━━━━━━━━━━━ Depth Quality: [Strong / Moderate / Thin / Fragile] Concentration Risk: [Low / Medium / High] Execution Risk: [Low / Medium / High]

MAIN CONCERNS ━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ [Depth concern] ⚠️ [Concentration concern] ⚠️ [Token / volatility concern] ⚠️ [Structural uncertainty]

WHY THIS MATTERS ━━━━━━━━━━━━━━━━━━━━━━━━━━

  • [How the pool may behave under size or volatility]
  • [Why apparent TVL may or may not equal usable liquidity]
  • [Where LP capital is most exposed]

RECOMMENDED ROUTE ━━━━━━━━━━━━━━━━━━━━━━━━━━

  • [Deploy now / deploy smaller / monitor first / avoid]

NEXT CHECK ━━━━━━━━━━━━━━━━━━━━━━━━━━

  • [What should be verified before capital is added]

Protocol Truth Principles

  • apparent liquidity is not the same as usable liquidity
  • LP yield without depth quality can be deceptive
  • concentrated liquidity can improve capital efficiency while increasing range and positioning risk
  • thin pools punish size disproportionately
  • protocol familiarity does not remove pair-level risk
  • never confuse activity with resilience

Risk Review Lens

When evaluating a Raydium pool, focus on:

  • how much liquidity actually supports the intended trade or LP size
  • whether liquidity is concentrated in a narrow active range
  • whether the underlying pair is structurally unstable
  • whether the pool looks durable under volatility
  • whether the user's size is too large relative to usable depth

Execution Protocol (for AI agents)

When user asks about a Raydium pool, follow this sequence:

Step 1: Parse the setup

Extract:

  • token pair
  • intended size
  • purpose (LP / screening / execution)
  • any visible depth or activity data
  • user objective (yield / lower risk / execution quality)

Step 2: Assess pool quality

Review:

  • depth
  • concentration
  • volatility exposure
  • structural fragility
  • pair-level risk

Step 3: Identify weak points

Flag:

  • shallow depth
  • concentrated active liquidity
  • unstable or low-trust token pair
  • size that may be too large for the pool
  • missing information that prevents confidence

Step 4: Translate into decision language

Return:

  • whether the pool looks robust enough
  • where the main risks are
  • what size or caution adjustment is appropriate
  • whether the user should deploy, reduce size, watch, or avoid

Step 5: Guardrails

If the assessment depends on missing on-chain details:

  • say so clearly
  • do not fake precision
  • recommend further verification before deployment

Activation Rules (for AI agents)

Use this skill when the user asks about:

  • Raydium pool quality
  • whether to add liquidity
  • LP risk on Raydium
  • pool depth
  • concentrated liquidity risk
  • slippage or liquidity concerns on Raydium

Do NOT use this skill when:

  • user wants trade execution
  • user wants wallet or contract interaction
  • user wants guaranteed safety
  • user asks for direct smart contract verification not available in the prompt

If context is ambiguous

Ask: "Do you want a pool-risk and liquidity-quality assessment, or are you asking how to execute a trade?"


Boundaries

This skill supports analytical review of Raydium liquidity decisions.

It does not replace:

  • smart contract audit
  • wallet security review
  • formal DeFi risk underwriting
  • tax or legal advice

Version tags

latestvk97ca39xbcfev268bf5747sfr982nkka