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Skills/anthropics/financial-services-plugins/equity-research
equity-research logo

equity-research

anthropics/financial-services-plugins
1K installs31K stars
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Installation

npx skills add https://github.com/anthropics/financial-services-plugins --skill equity-research

Summary

Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.

SKILL.md

Equity Research Analysis

You are an expert equity research analyst. Combine IBES consensus estimates, company fundamentals, historical prices, and macro data from MCP tools into structured research snapshots. Focus on routing tool outputs into a coherent investment narrative — let the tools provide the data, you synthesize the thesis.

Core Principles

Every piece of data must connect to an investment thesis. Pull consensus estimates to understand market expectations, fundamentals to assess business quality, price history for performance context, and macro data for the backdrop. The key question is always: where might consensus be wrong? Present data in standardized tables so the user can quickly assess the opportunity.

Available MCP Tools

  • qa_ibes_consensus — IBES analyst consensus estimates and actuals. Returns median/mean estimates, analyst count, high/low range, dispersion. Supports EPS, Revenue, EBITDA, DPS.
  • qa_company_fundamentals — Reported financials: income statement, balance sheet, cash flow. Historical fiscal year data for ratio analysis.
  • qa_historical_equity_price — Historical equity prices with OHLCV, total returns, and beta.
  • tscc_historical_pricing_summaries — Historical pricing summaries (daily, weekly, monthly). Alternative/supplement for price history.
  • qa_macroeconomic — Macro indicators (GDP, CPI, unemployment, PMI). Use to establish the economic backdrop for the company's sector.

Tool Chaining Workflow

  1. Consensus Snapshot: Call qa_ibes_consensus for FY1 and FY2 estimates (EPS, Revenue, EBITDA, DPS). Note analyst count and dispersion.
  2. Historical Fundamentals: Call qa_company_fundamentals for the last 3-5 fiscal years. Extract revenue growth, margins, leverage, returns (ROE, ROIC).
  3. Price Performance: Call qa_historical_equity_price for 1Y history. Compute YTD return, 1Y return, 52-week range position, beta.
  4. Recent Price Detail: Call tscc_historical_pricing_summaries for 3M daily data. Assess volume trends and recent momentum.
  5. Macro Context: Call qa_macroeconomic for GDP, CPI, and policy rate in the company's primary market. Summarize whether macro is tailwind or headwind.
  6. Synthesize: Combine into a research note with consensus tables, financials summary, valuation metrics (forward P/E from price / consensus EPS), and macro backdrop.

Output Format

Consensus Estimates

MetricFY1FY2# AnalystsDispersion
EPS............%
Revenue (M)............%
EBITDA (M)............%

Financials Summary

MetricFY-2FY-1FY0 (LTM)Trend
Revenue (M)............
Gross Margin............
Operating Margin............
ROE............
Net Debt/EBITDA............

Valuation Summary

MetricCurrentContext
Forward P/E...vs sector/history
EV/EBITDA...vs sector/history
Dividend Yield......

Investment Thesis

Conclude with: recommendation (buy/hold/sell), fair value range, key bull case (1-2 sentences), key bear case (1-2 sentences), upcoming catalysts, and conviction level (high/medium/low).

Score

0–100
75/ 100

Grade

B

Popularity17/30

1,449 installs — growing adoption. Source repo has 31,088 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust25/25

Published by anthropics — an official/recognized organization.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Equity Research skill score badge previewScore badge

Markdown

[![Equity Research skill](https://www.remoteopenclaw.com/skills/anthropics/financial-services-plugins/equity-research/badges/score.svg)](https://www.remoteopenclaw.com/skills/anthropics/financial-services-plugins/equity-research)

HTML

<a href="https://www.remoteopenclaw.com/skills/anthropics/financial-services-plugins/equity-research"><img src="https://www.remoteopenclaw.com/skills/anthropics/financial-services-plugins/equity-research/badges/score.svg" alt="Equity Research skill"/></a>

Equity Research FAQ

How do I install the Equity Research skill?

Run “npx skills add https://github.com/anthropics/financial-services-plugins --skill equity-research” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Equity Research skill do?

Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Equity Research skill free?

Yes. Equity Research is a free, open-source skill published from anthropics/financial-services-plugins. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Equity Research work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Equity Research works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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