Earnings Analysis
Wind-Alice/AliceMarket
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.
Comprehensive equity research analyst skill that orchestrates all Octagon financial analysis skills.
Install Financial Analyst Master
$ npx skills add OctagonAI/skills --skill financial-analyst-master -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills financial-analyst-master --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/financial-analyst-master .claude/skills/financial-analyst-master && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "financial-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/financial-analyst-master into .claude/skills/financial-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-analyst-master", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OctagonAI/skills/tree/main/skills/financial-analyst-masterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OctagonAI/skills --skill financial-analyst-master -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills financial-analyst-master --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/financial-analyst-master .agents/skills/financial-analyst-master && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "financial-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/financial-analyst-master into .agents/skills/financial-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-analyst-master", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OctagonAI/skills --skill financial-analyst-master -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills financial-analyst-master --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/financial-analyst-master .cursor/skills/financial-analyst-master && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "financial-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/financial-analyst-master into .cursor/skills/financial-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-analyst-master", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OctagonAI/skills.git --path skills/financial-analyst-master--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OctagonAI/skills --skill financial-analyst-master -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills financial-analyst-master --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/financial-analyst-master .gemini/skills/financial-analyst-master && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "financial-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/financial-analyst-master into .gemini/skills/financial-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-analyst-master", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OctagonAI/skills financial-analyst-masterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OctagonAI/skills --skill financial-analyst-master -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/financial-analyst-master .github/skills/financial-analyst-master && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "financial-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/financial-analyst-master into .github/skills/financial-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-analyst-master", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OctagonAI/skills --skill financial-analyst-master -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OctagonAI/skills financial-analyst-master --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/financial-analyst-master .opencode/skills/financial-analyst-master && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "financial-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/financial-analyst-master into .opencode/skills/financial-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "financial-analyst-master", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
financial-analyst-master- GitHub stars
- 127
- Token cost
- ~2.1k tokens
- SKILL.md length
- 609 words
- Files
- 22 (incl. references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- MIT
At a glance
Comprehensive equity research analyst skill that orchestrates all Octagon financial analysis skills.
- Works in 6 steps: Data Collection → Growth & Trend Analysis → Segmentation & Positioning → …
- Conducting full company analysis
- SKILL.md covers Persona, Prerequisites, Available Skills and Workflow, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Financial Analyst Master is an agent skill from OctagonAI/skills. Comprehensive equity research analyst skill that orchestrates all Octagon financial analysis skills. Use when conducting full company analysis, writing initiation of coverage reports, performing due diligence, or creating investment recommendations with quantitative support.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files (for example `README.md`, `marketplace.json` and `references/mcp-setup.md`).
It sits in Business, Finance & HR, covering Financial analysis, Stock and market analysis and Test coverage. It works with Model Context Protocol. The repository describes itself as: A collection of Claude skills for agentic financial research by Octagon. The licence is MIT.
When your agent uses it
- Conducting full company analysis
- Writing initiation of coverage reports
- Performing due diligence
- Creating investment recommendations with quantitative support
Example prompts
- “/financial-analyst-master”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 51e938c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Financial Analyst Master loads about 2.1k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 609 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OctagonAI/skills at commit 51e938c, republished under its MIT licence (© OctagonAI). 609 words, ~2,141 tokens.
Download SKILL.mdSave it as
.claude/skills/financial-analyst-master/SKILL.md (or your agent's skills folder). This skill also uses 21 other files; get the full folder from GitHub.- name
- financial-analyst-master
- description
- Comprehensive equity research analyst skill that orchestrates all Octagon financial analysis skills. Use when conducting full company analysis, writing initiation of coverage reports, performing due diligence, or creating investment recommendations with quantitative support.
Financial Analyst Master
You are a senior equity research analyst conducting comprehensive financial analysis and writing institutional-quality research reports using the full suite of Octagon MCP skills.
Persona
Role: Senior Equity Research Analyst writing an Initiation of Coverage report.
Audience: Hedge fund portfolio manager who wants a decision-ready report. Clear, quant-driven, and focused on alpha generation.
Style: Modeled on Goldman Sachs reports, but tailored for a time-constrained PM. Plain English, active voice, concise sentences.
Prerequisites
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Available Skills
This master skill orchestrates all individual analysis skills:
Financial Statements
- Income Statement - Revenue, Net Income, EPS data
- Balance Sheet - Assets, Liabilities, Equity, Net Debt
- Cash Flow Statement - OCF, FCF, Cash Position
Growth Analysis
- Financial Metrics Analysis - YoY income statement growth
- Income Statement Growth - Revenue, Profit, EPS growth
- Balance Sheet Growth - Assets, Equity growth
- Cash Flow Growth - OCF, FCF growth
- Financial Growth - Comprehensive growth metrics
Segmentation
- Revenue Product Segmentation - Product mix analysis
- Revenue Geographic Segmentation - Regional exposure
Estimates & Ratings
- Analyst Estimates - Consensus estimates
- Financial Health Scores - Altman Z-Score, Piotroski
- Historical Financial Ratings - ROA, ROE, DCF scores
- Ratings Snapshot - Current rating overview
ESG
- ESG Ratings - MSCI, Sustainalytics ratings
- ESG Benchmark Comparison - Sector ESG benchmarks
Workflow
See references/workflow-overview.md for the complete end-to-end analysis workflow.
Phase 1: Data Collection
Gather comprehensive financial data for the target company:
1. Retrieve income statement data for <TICKER>
2. Retrieve balance sheet data for <TICKER>
3. Retrieve cash flow statement data for <TICKER>
4. Retrieve analyst estimates for <TICKER>
5. Retrieve financial health scores for <TICKER>Phase 2: Growth & Trend Analysis
Analyze historical performance and trends:
1. Retrieve YoY growth in key income-statement items for <TICKER>, limited to 5 records
2. Retrieve balance sheet growth metrics for <TICKER>
3. Retrieve cash flow growth metrics for <TICKER>
4. Retrieve historical financial ratings for <TICKER>, limited to 2000 recordsPhase 3: Segmentation & Positioning
Understand business mix and geographic exposure:
1. Retrieve revenue breakdown by product segment for <TICKER>
2. Retrieve revenue breakdown by geographic segment for <TICKER>Phase 4: ESG & Sustainability
Assess ESG positioning and risks:
1. Retrieve ESG ratings and scores for <TICKER>
2. Retrieve ESG benchmark comparison for <SECTOR> for fiscal year <YEAR>Phase 5: Peer Comparison
Compare against competitors:
1. Repeat Phase 1-4 for 2-3 direct competitors
2. Build comparative tables for key metricsPhase 6: Report Generation
Synthesize findings into equity research report. See references/report-template.md for the complete template.
Report Structure
Executive Summary & Snapshot
- Current price, target price, implied upside (%), investment rating
- Factor profile: Growth, Returns, Multiple, Integrated percentile
- 12-month price chart
Skills used: analyst-estimates, financial-health-scores, ratings-snapshot
Investment Thesis
- 3-bullet "Why now" summary
- One-sentence positioning line
Skills used: financial-growth, revenue-product-segmentation
Investment Positives
- Rank-ordered drivers of upside with quantitative support
- Contribution to valuation re-rating
Skills used: income-statement-growth, financial-metrics-analysis, cash-flow-growth
Competitive/Peer Analysis
- Table comparing company to peers on key KPIs
- Growth, margins, multiples comparison
Skills used: All growth skills, esg-benchmark-comparison
Show full SKILL.md (249 more words)Show less
Estimates & Operating Assumptions
- 3-year forward model (revenue, margins, FCF)
- Base-case, bear-case, bull-case sensitivities
Skills used: analyst-estimates, income-statement, balance-sheet
Valuation
- Primary method: multiples (EV/EBITDA, P/E)
- Cross-check: peer median multiples
- Re-rating catalysts
Skills used: financial-health-scores, historical-financial-ratings
Key Risks
- Ranked by probability x impact
- Financial sensitivity for each risk
Skills used: balance-sheet, cash-flow-statement, esg-ratings
ESG Assessment
- Current ESG ratings and trajectory
- Material ESG factors for sector
- Comparison to sector benchmarks
Skills used: esg-ratings, esg-benchmark-comparison
Appendix
- Detailed financial models
- Extended historical data
- Methodology notes
Skills used: All financial statement and growth skills
Example: Full Analysis Query Sequence
# Phase 1: Financial Statements
Retrieve real-time income statement data for NVDA
Retrieve detailed balance sheet data for NVDA
Retrieve cash flow statement data for NVDA
# Phase 2: Growth Analysis
Retrieve year-over-year growth in key income-statement items for NVDA, limited to 5 records and filtered by period FY
Retrieve YoY growth in Total Assets, Liabilities, Equity for NVDA
Retrieve YoY growth in Operating Cash Flow and Free Cash Flow for NVDA
# Phase 3: Ratings & Health
Retrieve analyst Revenue and EPS estimates for NVDA
Retrieve Altman Z-Score and Piotroski Score for NVDA
Retrieve historical financial ratings and key metric scores for NVDA, limited to 2000 records
# Phase 4: Segmentation
Retrieve revenue breakdown by product segment for NVDA
Retrieve revenue breakdown by geographic segment for NVDA
# Phase 5: ESG
Retrieve ESG ratings and scores, including risk rating and industry rank, for NVDA
Retrieve ESG benchmark comparison metrics for the Technology sector for FY2024
# Phase 6: Peer Comparison
Retrieve year-over-year growth in key income-statement items for AMD, limited to 5 records
Retrieve year-over-year growth in key income-statement items for INTC, limited to 5 recordsOutput Specifications
Length: 6,000-10,000 words total
Section allocation: 500-1,000 words per major section
Formatting:
- Bullet-heavy where useful (bullets under 2 lines)
- Bold all key metrics (target price, upside %, rating)
- Tables for peer comps, models, valuation cross-checks
- Placeholders for charts/figures
- Footnote every number with source and date
Sourcing Hierarchy
- Company filings (10-K, 20-F, earnings call transcripts, IR decks)
- Press releases, industry reports, news articles
- Third-party databases where accessible
If data is missing: Write "DATA NEEDED" and suggest a source.
Compliance
End reports with standard sell-side disclosure boilerplate.
Analysis Tips
Start with the thesis: Form a preliminary view before deep analysis, then validate or revise.
Quantify everything: Every investment positive/negative needs numerical support.
Think in ranges: Use bear/base/bull scenarios for key assumptions.
Focus on materiality: Prioritize metrics that drive 80% of the valuation.
Track changes: Note what has changed since last quarter/year.
Cross-validate: Use multiple skills to confirm findings.
© OctagonAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 21 other files (references) in skills/financial-analyst-master of OctagonAI/skills.
- SKILL.md
- README.md
- marketplace.json
- references/mcp-setup.md
- references/report-template.md
- references/skill-analyst-estimates.md
- references/skill-balance-sheet-growth.md
- references/skill-balance-sheet.md
- references/skill-cash-flow-growth.md
- references/skill-cash-flow-statement.md
- references/skill-esg-benchmark-comparison.md
- references/skill-esg-ratings.md
- references/skill-financial-growth.md
- references/skill-financial-health-scores.md
- references/skill-financial-metrics-analysis.md
- references/skill-historical-financial-ratings.md
- references/skill-income-statement-growth.md
- references/skill-income-statement.md
- references/skill-ratings-snapshot.md
- references/skill-revenue-geographic-segmentation.md
- … and 2 more
Open the folder on GitHubat commit 51e938c
Compare with similar skills
Financial Analyst Master next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Financial Analyst Master this skillOctagonAI/skills | 127 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Earnings AnalysisWind-Alice/AliceMarket | 134 | 3 repos | ~2.2k | Automated safety check: Pass | None | |
| Longbridgehelsome/folio | 271 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| DCF Model Builderginlix-ai/LangAlpha | 1.8k | — | ~7.7k | Automated safety check: Pass | Apache-2.0 | |
| Equiblessickn33/agentic-awesome-skills | 47k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Datapack Builderw95/awesome-claude-corporate-skills | 244 | 1 repos | ~6k | Automated safety check: Pass | MIT |
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Equibles
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Related
Works with
Categories
Questions about Financial Analyst Master
What does Financial Analyst Master do?
Comprehensive equity research analyst skill that orchestrates all Octagon financial analysis skills. Financial Analyst Master is an agent skill from OctagonAI/skills. Comprehensive equity research analyst skill that orchestrates all Octagon financial analysis skills.
When should I use Financial Analyst Master?
Financial Analyst Master fits situations like: conducting full company analysis; writing initiation of coverage reports; performing due diligence; creating investment recommendations with quantitative support.
How do I install Financial Analyst Master in Claude Code?
Run `npx skills add OctagonAI/skills --skill financial-analyst-master -a claude-code`. Or copy the skill folder (skills/financial-analyst-master in OctagonAI/skills) into .claude/skills/financial-analyst-master in your project. Claude Code loads it when a task matches its description.
How do I install Financial Analyst Master in Codex?
Run `npx skills add OctagonAI/skills --skill financial-analyst-master -a codex`. Or copy the skill folder (skills/financial-analyst-master in OctagonAI/skills) into .agents/skills/financial-analyst-master in your project. Codex loads it when a task matches its description.
Can I use Financial Analyst Master in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OctagonAI/skills --skill financial-analyst-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/financial-analyst-master, .gemini/skills/financial-analyst-master, .github/skills/financial-analyst-master and .opencode/skills/financial-analyst-master in your project.
What does Financial Analyst Master need to run?
SKILL.md names no scripts, command-line tools or credentials: Financial Analyst Master is instructions for the agent only.
Does Financial Analyst Master access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Financial Analyst Master safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Financial Analyst Master use?
Financial Analyst Master is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Financial Analyst Master use?
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.9k tokens, read only when the agent opens those files.
What are the alternatives to Financial Analyst Master?
Skills that share tags, products or a category with Financial Analyst Master: Earnings Analysis (Wind-Alice/AliceMarket, 134 stars), Longbridge (helsome/folio, 271 stars), DCF Model Builder (ginlix-ai/LangAlpha, 1.8k stars) and Equibles (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Financial Analyst Master?
OctagonAI (a GitHub organization) maintains it in OctagonAI/skills, which has 127 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on June 5, 2026.
Source: OctagonAI/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.