Massing Bim
ibuilder/massing
Drive a Massing BIM/AEC project from an AI agent over MCP — read a project's status, records, CDE, KPI and model-quality checks; run standards-compliance, schedule-risk, embodied-carbon, permit-…
Analyze 10-Q quarterly filings for public companies using Octagon MCP.
Install Sec 10q Analysis
$ npx skills add OctagonAI/skills --skill sec-10q-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills sec-10q-analysis --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-10q-analysis .claude/skills/sec-10q-analysis && 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-10q-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-10q-analysis into .claude/skills/sec-10q-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-10q-analysis", 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-10q-analysisType 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-10q-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills sec-10q-analysis --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-10q-analysis .agents/skills/sec-10q-analysis && 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-10q-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-10q-analysis into .agents/skills/sec-10q-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-10q-analysis", 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-10q-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills sec-10q-analysis --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-10q-analysis .cursor/skills/sec-10q-analysis && 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-10q-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-10q-analysis into .cursor/skills/sec-10q-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-10q-analysis", 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-10q-analysis--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-10q-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills sec-10q-analysis --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-10q-analysis .gemini/skills/sec-10q-analysis && 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-10q-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-10q-analysis into .gemini/skills/sec-10q-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-10q-analysis", 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-10q-analysisInstalls 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-10q-analysis -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-10q-analysis .github/skills/sec-10q-analysis && 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-10q-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-10q-analysis into .github/skills/sec-10q-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-10q-analysis", 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-10q-analysis -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-10q-analysis --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-10q-analysis .opencode/skills/sec-10q-analysis && 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-10q-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-10q-analysis into .opencode/skills/sec-10q-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-10q-analysis", 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-10q-analysis- GitHub stars
- 127
- Token cost
- ~1.3k tokens
- SKILL.md length
- 497 words
- Files
- 5 (incl. references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze 10-Q quarterly filings for public companies using Octagon MCP.
- Works in 4 steps: Identify Analysis Parameters → Execute Query via Octagon MCP → Expected Output → …
- Extracting quarterly performance metrics
- SKILL.md covers Prerequisites, Workflow, Example Queries and 10-Q Filing Structure, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sec 10q Analysis is an agent skill from OctagonAI/skills. Analyze 10-Q quarterly filings for public companies using Octagon MCP. Use when extracting quarterly performance metrics, revenue breakdown, operating margins, segment performance, and interim financial updates from SEC 10-Q filings.
Its SKILL.md is about 1.3k 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 sits in Business, Finance & HR, covering OKRs and executive reporting and MCP servers. 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
- Extracting quarterly performance metrics
- Revenue breakdown
- Operating margins
- Segment performance
Example prompts
- “/sec-10q-analysis”
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 10q Analysis loads about 1.3k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 497 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). 497 words, ~1,323 tokens.
Download SKILL.mdSave it as
.claude/skills/sec-10q-analysis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sec-10q-analysis
- description
- Analyze 10-Q quarterly filings for public companies using Octagon MCP. Use when extracting quarterly performance metrics, revenue breakdown, operating margins, segment performance, and interim financial updates from SEC 10-Q filings.
SEC 10-Q Analysis
Analyze quarterly 10-Q filings for public companies to extract quarterly performance metrics, segment breakdown, and interim financial updates 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)
- Quarter (optional): Specific quarter if not latest (Q1, Q2, Q3)
- Focus Areas (optional): Revenue, margins, segment performance, etc.
2. Execute Query via Octagon MCP
Use the octagon-agent tool with a natural language prompt:
Analyze the latest 10-Q filing for <TICKER> and extract quarterly performance metrics.MCP Call Format:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Analyze the latest 10-Q filing for AAPL and extract quarterly performance metrics."
}
}3. Expected Output
The agent returns comprehensive 10-Q analysis including:
Quarterly Metrics:
- Total Revenue (with YoY comparison)
- Net Income
- Basic and Diluted EPS
- Operating Income and Margin
- Segment Revenue Breakdown
Balance Sheet Updates:
- Cash and Equivalents
- Long-term Debt
- Liquidity Position
Source Citations:
- Specific page references from the 10-Q filing
Data Sources: octagon-financials-agent, octagon-sec-agent
4. Interpret Results
See references/interpreting-results.md for guidance on:
- Understanding quarterly vs annual comparisons
- Analyzing segment performance
- Identifying sequential trends
- Comparing to analyst expectations
Example Queries
Standard 10-Q Analysis:
Analyze the latest 10-Q filing for AAPL and extract quarterly performance metrics.Segment Performance:
Extract product segment revenue breakdown from AAPL's latest 10-Q filing.Margin Analysis:
Analyze operating and gross margins from MSFT's Q2 2024 10-Q filing.YoY Comparison:
Compare GOOGL's Q3 2024 quarterly metrics to Q3 2023 from 10-Q filings.Cash Flow Focus:
Extract quarterly cash flow metrics from AMZN's latest 10-Q filing.Guidance Updates:
Extract any updated guidance or outlook from META's latest 10-Q filing.10-Q Filing Structure
| Section | Content |
|---|---|
| Part I, Item 1 | Financial Statements (Unaudited) |
| Part I, Item 2 | MD&A (Management Discussion & Analysis) |
| Part I, Item 3 | Quantitative & Qualitative Disclosures |
| Part I, Item 4 | Controls and Procedures |
| Part II, Item 1 | Legal Proceedings |
| Part II, Item 1A | Risk Factors (Updates) |
| Part II, Item 2 | Unregistered Sales of Equity |
| Part II, Item 6 | Exhibits |
Key Quarterly Metrics
| Metric | Description | Comparison |
|---|---|---|
| Revenue | Quarterly sales | YoY and QoQ |
| Net Income | Quarterly profit | YoY and QoQ |
| EPS (Basic) | Earnings per share | vs Estimates |
| EPS (Diluted) | Diluted EPS | vs Estimates |
| Operating Income | Income from operations | Margin trend |
| Gross Margin | Gross profit / Revenue | vs Prior quarter |
| Operating Margin | Operating income / Revenue | vs Prior quarter |
Show full SKILL.md (191 more words)Show less
Segment Analysis
Common segment breakdowns in 10-Q filings:
| Company | Typical Segments |
|---|---|
| AAPL | iPhone, Mac, iPad, Services, Wearables |
| MSFT | Productivity, Intelligent Cloud, Personal Computing |
| GOOGL | Google Services, Google Cloud, Other Bets |
| AMZN | North America, International, AWS |
| META | Family of Apps, Reality Labs |
10-Q vs 10-K Differences
| Aspect | 10-Q | 10-K |
|---|---|---|
| Frequency | Quarterly (Q1, Q2, Q3) | Annual |
| Financials | Unaudited | Audited |
| Detail Level | Summary | Comprehensive |
| Risk Factors | Updates only | Full disclosure |
| MD&A | Quarterly focus | Annual review |
Analysis Tips
Sequential comparison: Compare Q2 to Q1 (QoQ) not just YoY for trend insights.
Seasonality awareness: Some businesses have strong seasonal patterns - compare to same quarter prior year.
Guidance updates: Check MD&A for any updated full-year guidance.
Risk factor changes: Part II Item 1A only includes changes - review for new concerns.
Segment mix shifts: Watch for changes in segment contribution to total revenue.
Margin trends: Operating margin changes can signal pricing or cost pressures.
Use Cases
- Earnings analysis: Detailed breakdown after quarterly earnings
- Trend tracking: Monitor sequential quarter performance
- Estimate validation: Compare actual results to analyst estimates
- Guidance monitoring: Track any guidance updates or revisions
- Competitive tracking: Compare quarterly performance across peers
© 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-10q-analysis 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 10q Analysis 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 10q Analysis this skillOctagonAI/skills | 127 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Massing Bimibuilder/massing | 122 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Okx Cex Marketdex-original/okx-agent-trade-kit | 110 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Okx Sentiment Trackerdex-original/okx-agent-trade-kit | 110 | 1 repos | ~3.8k | Automated safety check: Pass | MIT |
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Questions about Sec 10q Analysis
What does Sec 10q Analysis do?
Analyze 10-Q quarterly filings for public companies using Octagon MCP. Sec 10q Analysis is an agent skill from OctagonAI/skills. Analyze 10-Q quarterly filings for public companies using Octagon MCP.
When should I use Sec 10q Analysis?
Sec 10q Analysis fits situations like: extracting quarterly performance metrics; revenue breakdown; operating margins; segment performance.
How do I install Sec 10q Analysis in Claude Code?
Run `npx skills add OctagonAI/skills --skill sec-10q-analysis -a claude-code`. Or copy the skill folder (skills/sec-10q-analysis in OctagonAI/skills) into .claude/skills/sec-10q-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Sec 10q Analysis in Codex?
Run `npx skills add OctagonAI/skills --skill sec-10q-analysis -a codex`. Or copy the skill folder (skills/sec-10q-analysis in OctagonAI/skills) into .agents/skills/sec-10q-analysis in your project. Codex loads it when a task matches its description.
Can I use Sec 10q Analysis 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-10q-analysis -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-10q-analysis, .gemini/skills/sec-10q-analysis, .github/skills/sec-10q-analysis and .opencode/skills/sec-10q-analysis in your project.
What does Sec 10q Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Sec 10q Analysis is instructions for the agent only.
Does Sec 10q Analysis 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 10q Analysis 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 10q Analysis use?
Sec 10q Analysis 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 10q Analysis use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Sec 10q Analysis?
Skills that share tags, products or a category with Sec 10q Analysis: Massing Bim (ibuilder/massing, 122 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Okx Cex Market (dex-original/okx-agent-trade-kit, 110 stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sec 10q Analysis?
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.