stock-screener SKILL.md skillA
stock-screener from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nicepkg/ai-workflow/stock-screener@git:20260118.be84779Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nicepkg/ai-workflow
- Path
workflows/stock-trader-workflow/.claude/skills/stock-screener/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260118.be84779, committed Jan 18, 2026
- Size
- 7,687 bytes
- Repository stars
- 291
- License
- MIT
Filter and screen stocks by financial metrics like P/E ratio, market cap, dividend yield, and growth rates. Analyze and compare stocks from CSV data.
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
Filter stocks by financial metrics and perform comparative analysis.
## Features
- **Multi-Metric Filtering**: P/E, P/B, market cap, dividend yield, etc.
- **Custom Screens**: Save and reuse filter combinations
- **Comparative Analysis**: Side-by-side stock comparison
- **Sector Analysis**: Group and analyze by sector
- **Ranking**: Score and rank stocks by criteria
- **Export**: CSV, JSON, formatted reports
## Quick Start
```python
from stock_screener import StockScreener
screener = StockScreener()
# Load stock data
screener.load_csv("stocks.csv")
# Apply filters
results = screener.filter(
pe_ratio=(0, 20),
market_cap_min=1e9,
dividend_yield_min=2.0
)
print(results)
```
## CLI Usage
```bash
# Basic screening
python stock_screener.py --input stocks.csv --pe-max 20 --div-min 2.0
# Multiple filters
python stock_screener.py --input stocks.csv --pe 5 25 --pb-max 3 --cap-min 1B
# Sector filter
python stock_screener.py --input stocks.csv --sector Technology --pe-max 30
# Rank by metric
python stock_screener.py --input stocks.csv --rank-by dividend_yield --top 20
# Compare specific stocks
…Read the whole file at its exact version.
How to install
mdr add nicepkg/ai-workflow/stock-screener@sha256:971182ceaa135679The line at the top of this page pins the label git:20260118.be84779, 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_vxutzgfncnxh7bdi)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jan 18, 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 (7687 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
nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vxutzgfncnxh7bdi GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/stock-screener GET https://markdownregistry.com/api/v1/blob/971182ceaa135679151f12bde16f9b586e82d0612a4d2e670e52450b21272171
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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