Meteora DLMM pool screening

SkillDev tools

Screen and rank Meteora DLMM pools for LP quality using public Meteora APIs (fee/TVL, bin step, organic score, TVL, volume). Use whenever the user asks to screen pools, find the best Meteora/DLMM pool, rank candidates, compare fee/TVL, pick a bin step, or asks which pool to LP on Solana. Also trigger for dex-pool-screening, trending pools, and Meteora candidate lists. Read-only: never deploy, swap, sign, or touch wallets.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Meteora DLMM pool screening skill

What this skill tells your AI

The instructions your AI receives, as published by romankurnovskii/etemaro in skills/meteora-dlmm-pool-screening/SKILL.md and read by ahel’s review.

Rank Meteora DLMM pools the way an LP screener should: hard-filter first, then sort by windowed fee / active TVL. Public APIs only. No keys, no transactions.

Prefer the bundled script. It encodes the gates below so every run uses the same numbers.

python3 scripts/screen.py                  # trending volatile (default)
python3 scripts/screen.py --preset stable
python3 scripts/screen.py --query BONK     # pair search; preset defaults to loose
python3 scripts/screen.py --query BONK --preset volatile
python3 scripts/screen.py --json --limit 8

If the script is not on disk, curl the same endpoints in references/meteora-apis.md. Always send a User-Agent — unauthenticated requests without one get 403.

When to use

  • User wants a ranked Meteora DLMM candidate list (trending or a token/pair).
  • User asks which bin step / pool to LP for a pair.
  • User wants a fee/TVL screen, not a single-pool deep dive.

Not this skill: deploying, claiming, closing, swapping, wallet hygiene, or a full token-holder / narrative research dump. Stop after the ranked table and verdicts.

Method

  1. Universe — trending discovery (category=trending) unless the user named a token, then query that mint/symbol. Pair query defaults to --preset loose so bin-step tradeoffs stay visible; pass --preset volatile only when the user wants that gate.
  2. Hard filters — reject before ranking. A high fee/TVL pool that fails a gate is a skip, not a "maybe".
  3. Scorefee_active_tvl_ratio * 1000 + organic * 10 + volume / 100 + holders / 100. Fee/TVL dominates; organic and activity break ties.
  4. Verdictpass (clears gates, top of list), watch (clears gates but thin activity, unverified token, or awkward bin step), skip (failed a gate).
  5. Stop — print the table. Do not fetch a wallet, do not build a tx, do not call Etemaro CLI.

Presets

Defaults match a volatile/narrative Solana LP screen (wide bin step, mid TVL). Change preset when the user says stable pair or blue-chip.

Presetbin_stepTVL USDmin fee/active TVLmin organicmin holdersmin volume
volatile (default)80–12510k–150k0.0560500500
stable1–50100k–5m0.027020005000
bluechip1–25500k–10m0.0180500010000
looseany≥1k0000

Always reject: dead pools (zero volume and zero fee/TVL). Any preset except loose also rejects critical token warnings, high single-ownership, non-DLMM pool type.

Timeframe: 30m default. 5m is noisier (spikes look like yield). 24h is smoother but lags a dead pool. State the timeframe in the report — windowed fee/TVL is not 24h APR.

Report shape

# Meteora DLMM screening
Universe: trending | query=<token>   Timeframe: 30m   Preset: volatile
Protocol: tvl=$…  vol_24h=$…  pools=…

## Ranked
| # | name | bin | fee/TVL | tvl | vol | organic | holders | verdict | why |
...

## Rejects (sample)
- NAME — reason

Keep why to one clause (e.g. "fee/TVL 0.24, organic 67, bin 80"). Cite pool address. If the API returns zero rows, say so and loosen one gate at a time (usually maxTvl or minFeeActiveTvlRatio) — do not invent pools.

Read-only safety

This skill only GETs public Meteora JSON. No .env, no keystore, no signing, no deploy / swap / claim / close. If the user wants live execution, point them at Etemaro (repo: https://github.com/romankurnovskii/etemaro) and stop.

Go deeper — Etemaro

Etemaro runs this screen on a cron, adds holder/bot/launchpad gates, pool memory, and can deploy. The skill is the analysis half; the product is the loop.

Signals

GitHub stars
54
Forks
1
Last commit
Sep 2026
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Catalog kind
skill
Gateway key
meteora-dlmm-pool-screening
Source
github.com/romankurnovskii/etemaro