MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Compare key metrics and disclosures between annual 10-K filings using Octagon MCP.
MITAuto-check passed
Install Sec Annual Comparison
$ npx skills add OctagonAI/skills --skill sec-annual-comparison -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills sec-annual-comparison --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/sec-annual-comparison .claude/skills/sec-annual-comparison && 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 "sec-annual-comparison" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-annual-comparison into .claude/skills/sec-annual-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-annual-comparison", 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/sec-annual-comparisonType 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 sec-annual-comparison -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills sec-annual-comparison --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/sec-annual-comparison .agents/skills/sec-annual-comparison && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sec-annual-comparison" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-annual-comparison into .agents/skills/sec-annual-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-annual-comparison", 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 sec-annual-comparison -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills sec-annual-comparison --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/sec-annual-comparison .cursor/skills/sec-annual-comparison && 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 "sec-annual-comparison" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-annual-comparison into .cursor/skills/sec-annual-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-annual-comparison", 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/sec-annual-comparison--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 sec-annual-comparison -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills sec-annual-comparison --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/sec-annual-comparison .gemini/skills/sec-annual-comparison && 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 "sec-annual-comparison" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-annual-comparison into .gemini/skills/sec-annual-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-annual-comparison", 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 sec-annual-comparisonInstalls 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 sec-annual-comparison -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/sec-annual-comparison .github/skills/sec-annual-comparison && 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 "sec-annual-comparison" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-annual-comparison into .github/skills/sec-annual-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-annual-comparison", 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 sec-annual-comparison -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 sec-annual-comparison --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/sec-annual-comparison .opencode/skills/sec-annual-comparison && 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 "sec-annual-comparison" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-annual-comparison into .opencode/skills/sec-annual-comparison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-annual-comparison", 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
sec-annual-comparison- GitHub stars
- 127
- Token cost
- ~2.1k tokens
- SKILL.md length
- 741 words
- Files
- 5 (incl. references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- MIT
At a glance
Compare key metrics and disclosures between annual 10-K filings using Octagon MCP.
- Works in 4 steps: Identify Analysis Parameters → Execute Query via Octagon MCP → Expected Output → …
- Analyzing year-over-year changes in financials
- SKILL.md covers Prerequisites, Workflow, Example Queries and Comparison Framework, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sec Annual Comparison is an agent skill from OctagonAI/skills. Compare key metrics and disclosures between annual 10-K filings using Octagon MCP. Use when analyzing year-over-year changes in financials, risk factors, business descriptions, and strategic priorities across fiscal years.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `marketplace.json` and `references/interpreting-results.md`).
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
- Analyzing year-over-year changes in financials
- Business descriptions
- Strategic priorities across fiscal years
Example prompts
- “/sec-annual-comparison”
Workflow steps
4 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 (its code samples are json).
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
Sec Annual Comparison loads about 2.1k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 741 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). 741 words, ~2,130 tokens.
Download SKILL.mdSave it as
.claude/skills/sec-annual-comparison/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sec-annual-comparison
- description
- Compare key metrics and disclosures between annual 10-K filings using Octagon MCP. Use when analyzing year-over-year changes in financials, risk factors, business descriptions, and strategic priorities across fiscal years.
SEC Annual Comparison
Compare key metrics and risk factors between current and previous year 10-K filings for public companies using the Octagon MCP server.
Prerequisites
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Workflow
1. Identify Analysis Parameters
Determine the following before querying:
- Ticker: Stock symbol (e.g., AAPL, MSFT, GOOGL)
- Years (optional): Specific fiscal years to compare
- Focus Areas (optional): Financials, risks, segments, strategy
2. Execute Query via Octagon MCP
Use the octagon-agent tool with a natural language prompt:
Compare key metrics and risk factors between <TICKER>'s current and previous year 10-K filings.MCP Call Format:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Compare key metrics and risk factors between CRM's current and previous year 10-K filings."
}
}3. Expected Output
The agent returns structured year-over-year comparison including:
Financial Metrics:
- Revenue: $31.353B (FY2023) vs $26.492B (FY2022) - 18.59% growth
- Net Income: $208M (FY2023) vs $1.444B (FY2022) - significant decline
- Total Assets: $98.849B vs $95.209B
- Total Liabilities: $41.755B vs $37.076B
Key Changes:
- $1.2B impairment of customer relationships and acquisition assets
- Increased goodwill from acquisitions (Slack, Acumen, Vlocity)
- Debt at $10.682B, covenant compliant
Risk Factors:
- Operational, regulatory, financial, market volatility risks
- Industry competition risks
Data Sources: octagon-financials-agent, octagon-sec-agent
4. Interpret Results
See references/interpreting-results.md for guidance on:
- Understanding year-over-year trends
- Identifying significant changes
- Evaluating risk factor evolution
- Assessing strategic shifts
Example Queries
Full Annual Comparison:
Compare key metrics and risk factors between CRM's current and previous year 10-K filings.Multi-Year Trend:
Compare AAPL's financial performance across the last 3 fiscal years from 10-K filings.Risk Factor Evolution:
How have TSLA's risk factors changed between FY2024 and FY2023 10-K filings?Segment Comparison:
Compare revenue segment breakdown between GOOGL's FY2024 and FY2023 10-K filings.Strategic Changes:
Compare the business description and strategy sections between MSFT's current and prior year 10-K.Margin Analysis:
Compare gross margin and operating margin trends between NVDA's FY2024 and FY2023 10-K filings.Comparison Framework
Financial Metrics
| Category | Key Metrics |
|---|---|
| Revenue | Total revenue, growth rate, segment breakdown |
| Profitability | Gross profit, operating income, net income |
| Margins | Gross margin, operating margin, net margin |
| Balance Sheet | Assets, liabilities, equity, cash, debt |
| Cash Flow | Operating, investing, financing, free cash flow |
| Per Share | EPS, book value, dividends |
Operational Metrics
| Category | Key Metrics |
|---|---|
| Customers | Count, retention, concentration |
| Employees | Headcount, productivity |
| Geographic | Revenue by region, asset location |
| Segments | Business unit performance |
Risk Factors
| Category | What to Compare |
|---|---|
| Business | Competitive, operational, strategic |
| Financial | Liquidity, debt, currency |
| Regulatory | Compliance, legal |
| Market | Economic, industry |
| Technology | Innovation, disruption |
Strategic Elements
| Category | What to Compare |
|---|---|
| Mission | Corporate purpose |
| Strategy | Growth initiatives |
| Investments | R&D, CapEx, M&A |
| Markets | Geographic, product expansion |
Year-over-Year Analysis
Financial Trend Assessment
| Metric | Positive Trend | Negative Trend |
|---|---|---|
| Revenue | Growing, accelerating | Declining, slowing |
| Margins | Expanding | Contracting |
| Earnings | Increasing | Decreasing |
| Cash Flow | Strengthening | Weakening |
| Debt | Declining | Increasing |
Key Ratios to Track
| Ratio | Calculation | What It Shows |
|---|---|---|
| Revenue Growth | (Current - Prior) / Prior | Top-line momentum |
| Gross Margin | Gross Profit / Revenue | Pricing power, costs |
| Operating Margin | Operating Income / Revenue | Operational efficiency |
| Net Margin | Net Income / Revenue | Bottom-line profitability |
| ROE | Net Income / Equity | Shareholder returns |
| Debt/Equity | Total Debt / Equity | Financial leverage |
Change Analysis
| Change Type | Significance |
|---|---|
| >20% improvement | Major positive development |
| 5-20% improvement | Solid progress |
| ±5% | Stable/flat |
| 5-20% decline | Concerning deterioration |
| >20% decline | Material negative change |
Risk Factor Comparison
Types of Changes
| Change | What It Means |
|---|---|
| New risk added | Emerging concern |
| Risk removed | Issue resolved or de-emphasized |
| Language expanded | Increased concern |
| Language reduced | Diminished concern |
| Position changed | Priority shift |
| Specificity added | Crystallizing risk |
Show full SKILL.md (281 more words)Show less
Priority Assessment
| Position | Prior Year | Current Year | Interpretation |
|---|---|---|---|
| Top 5 | Top 5 | Top 5 | Persistent priority |
| Lower | Lower | Top 5 | Elevated concern |
| Top 5 | Top 5 | Lower | Reduced priority |
| None | None | Added | New risk |
| Present | Present | Removed | Resolved |
Business Description Changes
What to Track
| Section | Changes to Note |
|---|---|
| Products | New offerings, discontinued products |
| Markets | Geographic expansion, exits |
| Customers | Target market shifts |
| Competition | New competitors, changed positioning |
| Strategy | New initiatives, changed priorities |
| Technology | Platform changes, R&D focus |
Strategic Shifts
| Indicator | Examples |
|---|---|
| New emphasis | Repeated new terms |
| Removed emphasis | Topics no longer discussed |
| Changed language | Different framing |
| Quantification | New metrics disclosed |
| Commitment | Specific targets stated |
Segment Performance Comparison
Revenue Analysis
| Segment | Prior Year | Current Year | Growth | Mix Change |
|---|---|---|---|---|
| Segment A | $X | $Y | Z% | +/- pp |
| Segment B | $X | $Y | Z% | +/- pp |
Segment Health Indicators
| Indicator | Positive | Negative |
|---|---|---|
| Growth | Accelerating | Decelerating |
| Margin | Improving | Declining |
| Share of Total | Increasing (if healthy) | Declining |
| Investment | Increasing | Divesting |
Multi-Year Trend Analysis
3-5 Year Comparison
Track over extended periods:
- Revenue CAGR
- Margin trajectories
- Balance sheet evolution
- Risk factor patterns
- Strategic consistency
Inflection Points
| Signal | What Changed |
|---|---|
| Growth acceleration | New product, market |
| Margin expansion | Scale, efficiency |
| Cash flow improvement | Working capital, CapEx |
| Risk emergence | New competitive threat |
| Strategic pivot | Changed direction |
Analysis Tips
Start with financials: Numbers provide objective comparison base.
Read both MD&As: Management commentary reveals context.
Track risk factor order: Position indicates priority.
Note new disclosures: First-time mentions often significant.
Compare segment detail: Business unit changes reveal strategy.
Check footnote changes: Accounting policy shifts matter.
Use Cases
- Investment research: Understand company trajectory
- Due diligence: Track performance evolution
- Competitive analysis: Compare across competitors
- Risk monitoring: Identify emerging concerns
- Earnings analysis: Context for quarterly results
© 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 4 other files (references) in skills/sec-annual-comparison of OctagonAI/skills.
- SKILL.md
- README.md
- marketplace.json
- references/interpreting-results.md
- references/mcp-setup.md
Open the folder on GitHubat commit 51e938c
Compare with similar skills
Sec Annual Comparison 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 |
|---|---|---|---|---|---|---|
| Sec Annual Comparison this skillOctagonAI/skills | 127 | — | ~2.1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MCP Developmentcoollabsio/coolify | 63k | 1 repos | ~949 | Automated safety check: Pass | MIT | |
| Analyze Logsactivepieces/activepieces | 25k | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
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Questions about Sec Annual Comparison
What does Sec Annual Comparison do?
Compare key metrics and disclosures between annual 10-K filings using Octagon MCP. Sec Annual Comparison is an agent skill from OctagonAI/skills. Compare key metrics and disclosures between annual 10-K filings using Octagon MCP.
When should I use Sec Annual Comparison?
Sec Annual Comparison fits situations like: analyzing year-over-year changes in financials; business descriptions; strategic priorities across fiscal years.
How do I install Sec Annual Comparison in Claude Code?
Run `npx skills add OctagonAI/skills --skill sec-annual-comparison -a claude-code`. Or copy the skill folder (skills/sec-annual-comparison in OctagonAI/skills) into .claude/skills/sec-annual-comparison in your project. Claude Code loads it when a task matches its description.
How do I install Sec Annual Comparison in Codex?
Run `npx skills add OctagonAI/skills --skill sec-annual-comparison -a codex`. Or copy the skill folder (skills/sec-annual-comparison in OctagonAI/skills) into .agents/skills/sec-annual-comparison in your project. Codex loads it when a task matches its description.
Can I use Sec Annual Comparison 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 sec-annual-comparison -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sec-annual-comparison, .gemini/skills/sec-annual-comparison, .github/skills/sec-annual-comparison and .opencode/skills/sec-annual-comparison in your project.
What does Sec Annual Comparison need to run?
SKILL.md names no scripts, command-line tools or credentials: Sec Annual Comparison is instructions for the agent only.
Does Sec Annual Comparison 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 Sec Annual Comparison 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 Sec Annual Comparison use?
Sec Annual Comparison 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 Sec Annual Comparison use?
About 2.1k tokens (SKILL.md is roughly 8.5k 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 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Sec Annual Comparison?
Skills that share tags, products or a category with Sec Annual Comparison: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MCP Development (coollabsio/coolify, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sec Annual Comparison?
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.