screen SKILL.md skillA
screen from luiseiman/dotforge is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add luiseiman/dotforge/screen@git:20260320.6fe4825Pins git:20260320.6fe4825 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- luiseiman/dotforge
- Path
stacks/trading/skills/screen/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260320.6fe4825, committed Mar 20, 2026
- Size
- 2,717 bytes
- Repository stars
- 8
- License
- MIT
Run quantitative or thematic stock screens to surface investment ideas. Supports AR (BYMA, CEDEARs) and US markets. Triggers on "screen", "stock screen", "find stocks", "investment ideas", "what looks interesting".
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
# Stock Screener Surface investment ideas via quantitative screens or thematic sweeps. ## Step 1: Define Screen If user provides criteria, use them. Otherwise ask: - **Market:** AR (BYMA panel general/lider, CEDEARs) / US / Both - **Direction:** Long / Short / Both - **Style:** Value / Growth / Momentum / Income / Quality - **Sector/Theme:** (optional) specific sector or thematic filter - **Size:** Large / Mid / Small / Any - **Constraints:** (optional) liquidity minimums, max P/E, min dividend, etc. ## Step 2: Quantitative Screen Apply filters based on style: **Value:** P/E < sector median, P/B < 1.5, EV/EBITDA below peers, FCF yield > 5% **Growth:** Revenue growth > 15% YoY, EPS growth > 20%, expanding margins **Momentum:** Price > 50-day MA > 200-day MA, RSI 50-70, positive earnings revisions **Income:** Dividend yield > 3%, payout ratio < 70%, dividend growth > 5% CAGR **Quality:** ROE > 15%, debt/equity < 1.0, consistent earnings (no losses in 5yr) **AR-specific filters:** - CEDEARs: check premium/discount vs ADR parity — flag opportunities where discount > 5% - BYMA local: volume filter (>$1M ARS daily), exclude penny stocks …
Read the whole file at its exact version.
How to install
mdr add luiseiman/dotforge/screen@sha256:fb7644f81a5e4950The line at the top of this page pins the label git:20260320.6fe4825, 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.
[](https://markdownregistry.com/a/art_napinm7glo3uduok)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Mar 20, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2717 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
luiseiman/dotforge · 8 stars · license MIT · pushed 2026-10-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_napinm7glo3uduok GET https://markdownregistry.com/api/v1/resolve?ref=luiseiman/dotforge/screen GET https://markdownregistry.com/api/v1/blob/fb7644f81a5e4950c3ac1b6b727c5130bcb6952db9721479c180380e89f88b38
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.