How do I install the Gradient Data Gathering skill?

Run npx skillmds@latest add rogue-iteration/gradient-data-gathering in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Gradient Data Gathering safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Gradient Data Gathering?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Gradient Data Gathering free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Gradient Data Gathering?

Rogue-Iteration (@rogue-iteration) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Gradient Data Gathering by rogue-iteration

Name: Gradient Data Gathering
Rating: 4.5 (4 reviews)
Author: Rogue-Iteration

Gradient Data Gathering

Data gathering tools for the Gradient Research Team. Fetches news (Google News RSS), SEC filings (EDGAR), fundamental financials (SEC EDGAR XBRL + yfinance), Reddit sentiment, and technical price data (yfinance) for stock tickers on the watchlist.

File contents

Data Gathering

Four data-gathering scripts used by the Gradient Research Team agents. Each agent runs its own gatherer on a heartbeat cycle and stores results via the gradient-research-assistant shared skill.

Scripts

gather_web.py — News & SEC Filings (Nova)

python3 gather_web.py --ticker BNTX --name "BioNTech SE" --theme "mRNA cancer research"

Fetches from Google News RSS and SEC EDGAR full-text search. Outputs a combined Markdown report with sourced articles and filings.

gather_social.py — Reddit Sentiment (Luna)

python3 gather_social.py --ticker CAKE --company "The Cheesecake Factory"
python3 gather_social.py --ticker HOG --json

Searches Reddit (r/wallstreetbets, r/stocks, r/investing, etc.) and calculates sentiment signals: volume, engagement ratio, cross-subreddit spread, upvote ratio.

gather_fundamentals.py — Financial Statements (Max)

python3 gather_fundamentals.py --ticker CAKE --company "The Cheesecake Factory"
python3 gather_fundamentals.py --ticker BNTX --json

Pulls structured financial data from SEC EDGAR XBRL API (companyfacts endpoint) for 5+ years of audited financials: revenue, net income, EPS, margins, balance sheet, cash flow, and key ratios (D/E, current ratio, net debt). Supplements with yfinance for company info, analyst recommendations, and earnings beat/miss history.

gather_technicals.py — Price & Indicators (Ace)

python3 gather_technicals.py --ticker CAKE --company "The Cheesecake Factory"
python3 gather_technicals.py --ticker HOG --json

Uses yfinance to fetch 5 years of OHLCV data and calculates: SMA (20/50/200), RSI(14), MACD(12,26,9), Bollinger Bands(20,2), volume analysis. Identifies signals: golden/death crosses, RSI overbought/oversold, MACD crossovers, Bollinger squeezes, volume spikes.

External Endpoints

Endpoint	Data Sent	Script
`news.google.com/rss/search`	Ticker + theme as query	`gather_web.py`
`efts.sec.gov/LATEST/search-index`	Ticker as query	`gather_web.py`
`data.sec.gov/api/xbrl/companyfacts/`	CIK number	`gather_fundamentals.py`
`www.sec.gov/files/company_tickers.json`	None (bulk download)	`gather_fundamentals.py`
`www.reddit.com/search.json`	Ticker as query	`gather_social.py`
`www.reddit.com/r/{sub}/search.json`	Ticker as query	`gather_social.py`
Yahoo Finance (via `yfinance`)	Ticker symbol	`gather_technicals.py`, `gather_fundamentals.py`

Security & Privacy

All data sources are public APIs — no authentication required
No user data or API keys are sent to these endpoints
The SEC EDGAR endpoint requires a user-agent with contact info (demo email used)
Reddit requests use a research bot user-agent
yfinance downloads publicly available market data

Trust Statement

By using this skill, public market data is fetched from Google News, SEC EDGAR (text search + XBRL), Reddit, and Yahoo Finance. No private data leaves the machine. Only install if you trust these public data sources.

---name: gradient-data-gatheringdescription: Data gathering tools for the Gradient Research Team. Fetches news (Google News RSS), SEC filings (EDGAR), fundamental financials (SEC EDGAR XBRL + yfinance), Reddit sentiment, and technical price data (yfinance) for stock tickers on the watchlist.---# Data GatheringFour data-gathering scripts used by the Gradient Research Team agents.Each agent runs its own gatherer on a heartbeat cycle and stores results via the`gradient-research-assistant` shared skill.## Scripts### gather_web.py — News & SEC Filings (Nova)```bashpython3 gather_web.py --ticker BNTX --name "BioNTech SE" --theme "mRNA cancer research"```Fetches from Google News RSS and SEC EDGAR full-text search.Outputs a combined Markdown report with sourced articles and filings.### gather_social.py — Reddit Sentiment (Luna)```bashpython3 gather_social.py --ticker CAKE --company "The Cheesecake Factory"python3 gather_social.py --ticker HOG --json```Searches Reddit (r/wallstreetbets, r/stocks, r/investing, etc.) and calculatessentiment signals: volume, engagement ratio, cross-subreddit spread, upvote ratio.### gather_fundamentals.py — Financial Statements (Max)```bashpython3 gather_fundamentals.py --ticker CAKE --company "The Cheesecake Factory"python3 gather_fundamentals.py --ticker BNTX --json```Pulls structured financial data from SEC EDGAR XBRL API (companyfacts endpoint) for5+ years of audited financials: revenue, net income, EPS, margins, balance sheet,cash flow, and key ratios (D/E, current ratio, net debt). Supplements with yfinancefor company info, analyst recommendations, and earnings beat/miss history.### gather_technicals.py — Price & Indicators (Ace)```bashpython3 gather_technicals.py --ticker CAKE --company "The Cheesecake Factory"python3 gather_technicals.py --ticker HOG --json```Uses `yfinance` to fetch 5 years of OHLCV data and calculates:SMA (20/50/200), RSI(14), MACD(12,26,9), Bollinger Bands(20,2), volume analysis.Identifies signals: golden/death crosses, RSI overbought/oversold, MACD crossovers,Bollinger squeezes, volume spikes.## External Endpoints| Endpoint | Data Sent | Script ||----------|-----------|--------|| `news.google.com/rss/search` | Ticker + theme as query | `gather_web.py` || `efts.sec.gov/LATEST/search-index` | Ticker as query | `gather_web.py` || `data.sec.gov/api/xbrl/companyfacts/` | CIK number | `gather_fundamentals.py` || `www.sec.gov/files/company_tickers.json` | None (bulk download) | `gather_fundamentals.py` || `www.reddit.com/search.json` | Ticker as query | `gather_social.py` || `www.reddit.com/r/{sub}/search.json` | Ticker as query | `gather_social.py` || Yahoo Finance (via `yfinance`) | Ticker symbol | `gather_technicals.py`, `gather_fundamentals.py` |## Security & Privacy- All data sources are **public APIs** — no authentication required- No user data or API keys are sent to these endpoints- The SEC EDGAR endpoint requires a user-agent with contact info (demo email used)- Reddit requests use a research bot user-agent- `yfinance` downloads publicly available market data## Trust Statement> By using this skill, public market data is fetched from Google News, SEC EDGAR> (text search + XBRL), Reddit, and Yahoo Finance. No private data leaves the machine.> Only install if you trust these public data sources.

Frequently asked questions