How do I install the Stock One Pager skill?

Run npx skillmds@latest add rgourley/stock-one-pager 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 Stock One Pager safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Stock One Pager?

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 Stock One Pager free to use?

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

Who published Stock One Pager?

rgourley (@rgourley) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Stock One Pager by rgourley — Agent Skill

Name: Stock One Pager
Author: rgourley

Stock One Pager

Beginner-friendly single-name snapshot. Composes technical-briefing + earnings-blackout + market-regime into a plain-language card. The retail-tier answer to "what should I know before buying this thing I saw on social." Zero jargon. Every claim gated by what the data actually says. Use when a first-time trader (or a friend) asks about a specific stock, or when the operator wants a low-glossary read before doing deeper work.

rgourley Updated Sep 17, 2026

File contents

stock-one-pager

You hand over a ticker. The skill returns a beginner-friendly card: plain-language trend read, valuation-in-english, recent-range position, key support/resistance levels, next catalyst, market context, and a short honest "what could go wrong."

This is a RETAIL-TIER composed skill. Design bar: a first-time trader understands the output without a glossary, and the tool never implies certainty the data doesn't support. Every claim is gated to what technical-briefing + earnings-blackout + market-regime actually say.

When to invoke

A retail-tier ask: "what should I know about NVDA before I buy?"
Media / newsletter blurbs — the tool writes at reading-level appropriate for someone who doesn't speak sell-side
Before running heavier analyst-tier skills, use this to get a plain-language anchor on the name
The user says "one-pager", "snapshot", "brief", "what's the deal with X"

What you need

MASSIVE_API_KEY (Stocks Starter minimum, same as the underlying technical-briefing + market-regime + earnings-blackout)

What you get back

Layer 1 canonical JSON matching output-schema.json. Plain-language fields (trend_plain, market_context_plain, etc.) alongside a components block that surfaces the raw component readings for callers who want to layer more on top.

Layer 2 rendered card. Header + 6 short blocks. No em-dashes, no jargon. See references/rendering.md.

How it works

Pure composition. Calls run() on three sub-skills, translates each into plain language via lookup tables, threads the readings into a "what could go wrong" list.

technical-briefing.run(ticker) for the chart read.
earnings-blackout.run([ticker], window_days=30, include_past_days=30) for the next-catalyst hint.
market-regime.run() for macro context (optional; skip via include_market_context=False when running in a tight loop over many tickers).

Foundations used

massive-api-patterns (via the sub-skills)
No direct API calls of its own

Doesn't handle (yet)

No news / catalyst detection beyond earnings. Product launches, FDA decisions, regulatory events don't show up. Add news-scanner to the chain if you want a richer catalyst read.
No valuation lens. This is a retail-tier read; adding valuation-sanity-check would push it toward analyst-tier and mix the audience. If a user needs valuation, invoke that skill separately.
No sentiment / positioning read. No options-flow, no short- interest. Same rationale.

---name: stock-one-pagerdescription: Beginner-friendly single-name snapshot. Composes technical-briefing + earnings-blackout + market-regime into a plain-language card. The retail-tier answer to "what should I know before buying this thing I saw on social." Zero jargon. Every claim gated by what the data actually says. Use when a first-time trader (or a friend) asks about a specific stock, or when the operator wants a low-glossary read before doing deeper work.---# stock-one-pagerYou hand over a ticker. The skill returns a beginner-friendly card:plain-language trend read, valuation-in-english, recent-range position,key support/resistance levels, next catalyst, market context, and ashort honest "what could go wrong."This is a RETAIL-TIER composed skill. Design bar: a first-time traderunderstands the output without a glossary, and the tool never impliescertainty the data doesn't support. Every claim is gated to whattechnical-briefing + earnings-blackout + market-regime actually say.## When to invoke- A retail-tier ask: "what should I know about NVDA before I buy?"- Media / newsletter blurbs — the tool writes at reading-level appropriate for someone who doesn't speak sell-side- Before running heavier analyst-tier skills, use this to get a plain-language anchor on the name- The user says "one-pager", "snapshot", "brief", "what's the deal with X"## What you need- `MASSIVE_API_KEY` (Stocks Starter minimum, same as the underlying technical-briefing + market-regime + earnings-blackout)## What you get back**Layer 1 canonical JSON** matching [`output-schema.json`](./output-schema.json).Plain-language fields (`trend_plain`, `market_context_plain`, etc.)alongside a `components` block that surfaces the raw componentreadings for callers who want to layer more on top.**Layer 2 rendered card**. Header + 6 short blocks. No em-dashes, nojargon. See [`references/rendering.md`](./references/rendering.md).## How it worksPure composition. Calls `run()` on three sub-skills, translates eachinto plain language via lookup tables, threads the readings into a"what could go wrong" list.1. `technical-briefing.run(ticker)` for the chart read.2. `earnings-blackout.run([ticker], window_days=30, include_past_days=30)` for the next-catalyst hint.3. `market-regime.run()` for macro context (optional; skip via `include_market_context=False` when running in a tight loop over many tickers).## Foundations used- `massive-api-patterns` (via the sub-skills)- No direct API calls of its own## Doesn't handle (yet)- **No news / catalyst detection beyond earnings.** Product launches, FDA decisions, regulatory events don't show up. Add news-scanner to the chain if you want a richer catalyst read.- **No valuation lens.** This is a retail-tier read; adding valuation-sanity-check would push it toward analyst-tier and mix the audience. If a user needs valuation, invoke that skill separately.- **No sentiment / positioning read.** No options-flow, no short- interest. Same rationale.

Frequently asked questions