meteora-dlmm-pool-screening SKILL.md skillA

meteora-dlmm-pool-screening from romankurnovskii/etemaro is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add romankurnovskii/etemaro/meteora-dlmm-pool-screening@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
romankurnovskii/etemaro
Path
skills/meteora-dlmm-pool-screening/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Sep 17, 2026
Size
4,497 bytes
Repository stars
42
License
none declared

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Meteora DLMM pool screening

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.

```bash
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](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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add romankurnovskii/etemaro/meteora-dlmm-pool-screening@sha256:5df5a114e4f0980a

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_i3uqzr6c3yd3r6vn.svg)](https://markdownregistry.com/a/art_i3uqzr6c3yd3r6vn)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 17, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-17 d1494d0 4,497 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4497 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

romankurnovskii/etemaro · 42 stars · license none declared · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_i3uqzr6c3yd3r6vn
GET https://markdownregistry.com/api/v1/resolve?ref=romankurnovskii/etemaro/meteora-dlmm-pool-screening
GET https://markdownregistry.com/api/v1/blob/5df5a114e4f0980aded9337815d08077a70ee705142342ee7ccfac97179b5784

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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