us-stock-analysis SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.

us-stock-analysis from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nicepkg/ai-workflow/us-stock-analysis@git:20260118.be84779

Pins 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/weekly-trade-strategy/skills/us-stock-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260118.be84779, committed Jan 18, 2026
Size
9,857 bytes
Repository stars
288
License
MIT

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.

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

# US Stock Analysis

## Overview

Perform comprehensive analysis of US stocks covering fundamental analysis (financials, business quality, valuation), technical analysis (indicators, trends, patterns), peer comparisons, and generate detailed investment reports. Fetch real-time market data via web search tools and apply structured analytical frameworks.

## Data Sources

Always use web search tools to gather current market data:

**Primary Data to Fetch:**
1. **Current stock price and trading data** (price, volume, 52-week range)
2. **Financial statements** (income statement, balance sheet, cash flow)
3. **Key metrics** (P/E, EPS, revenue, margins, debt ratios)
4. **Analyst ratings and price targets**
5. **Recent news and developments**
6. **Peer/competitor data** (for comparisons)
7. **Technical data** (moving averages, RSI, MACD when available)

**Search Strategy:**
- Use ticker symbol + specific data needed (e.g., "AAPL financial metrics 2024")
- For comprehensive data: Search for earnings reports, investor presentations, or SEC filings
- For technical data: Search for "AAPL technical analysis" or use financial data sites
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nicepkg/ai-workflow/us-stock-analysis@sha256:4de04c619b187c52

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_lgrlv3ftr5k7pc5z.svg)](https://markdownregistry.com/a/art_lgrlv3ftr5k7pc5z)

2 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.

versioncommittedcommitsizeaudit
git:20260118.be84779 latest2026-01-18 be84779 9,857 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 (9857 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

nicepkg/ai-workflow · 288 stars · license MIT · pushed 2026-01-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lgrlv3ftr5k7pc5z
GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/us-stock-analysis
GET https://markdownregistry.com/api/v1/blob/4de04c619b187c52edb86bd82f1c5e157875f4add29ec3984931b548c903278b

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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Every file in nicepkg/ai-workflow

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