Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add agiprolabs/claude-trading-skills --skill dex-pool-analysisgit clone --depth 1 https://github.com/agiprolabs/claude-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agiprolabs/claude-trading-skills/dex-pool-analysis)<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/dex-pool-analysis"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/dex-pool-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/dex-pool-analysis"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/dex-pool-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 344 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.03971 |
| Opus 5 | $0.00017 | $0.01985 |
| Sonnet 5 | $0.00007 | $0.00794 |
| Haiku 4.5 | $0.00003 | $0.00397 |
Grade A, and why
dex-pool-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DEX Pool Analysis — Solana AMM Pool Mechanics & Comparison
Solana's DEX ecosystem spans multiple AMM designs: constant-product pools (Raydium V4), concentrated liquidity (Raydium CLMM, Orca Whirlpool), and bin-based liquidity (Meteora DLMM). Each pool type has distinct fee structures, capital efficiency characteristics, and risk profiles. Understanding these differences is essential for selecting the best execution venue, evaluating liquidity quality, and identifying pool-level risks.
This skill covers:
- Pool type mechanics and fee structures across Solana DEXes
- Pool health metrics (TVL, volume efficiency, fee APR, LP count)
- Pool creation patterns (PumpFun graduation, manual creation)
- Best pool selection for trade execution
- Pool age and risk assessment
Related skills: See lp-math for AMM formulas, liquidity-analysis for depth assessment, impermanent-loss for LP risk, slippage-modeling for execution cost.
1. Pool Types on Solana
Raydium V4 (Constant Product)
The most common pool type for newly launched tokens. Uses the classic xy = k invariant with a fixed 0.25% swap fee. Integrated with OpenBook (formerly Serum) for combined AMM + orderbook liquidity.
Program ID: 675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8
Fee: 0.25% per swap (0.22% to LPs, 0.03% to RAY buyback)
Key characteristics:
- Full-range liquidity (infinite price range)
- Simple LP provisioning — deposit both tokens in equal value
- Lower capital efficiency than concentrated liquidity
- OpenBook market ID required for pool creation
Raydium CLMM (Concentrated Liquidity)
Concentrated Liquidity Market Maker pools allow LPs to specify price ranges, improving capital efficiency by 10-100x compared to V4.
Program ID: CAMMCzo5YL8w4VFF8KVHrK22GGUsp5VTaW7grrKgrWqK
Fee tiers: 0.01%, 0.05%, 0.25%, 1%, 2%
Tick spacing: 1, 10, 60, 120, 240 (corresponding to fee tiers)
Key characteristics:
- LPs choose min/max price for their position
- Positions represented as NFTs
- Higher fee income per dollar deposited (when in range)
- Risk of position going out of range (no fees earned)
- Multiple fee tiers for different volatility profiles
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 384 lines · 34 tokens per session scan A 44c65cfdc903
dex-pool-analysis is a skill published in the GitHub repository agiprolabs/claude-trading-skills (354 stars, last pushed 8d ago), licensed MIT. It adds 34 tokens to every session and 3,971 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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