Kimi Datasource
MoonshotAI/kimi-code
Universal data-source assistant for stocks (Wind, S&P, SEC EDGAR), macro (World Bank, IMF, FRED, NBS), Chinese government data and standards (GB/HB/DB/TT), corporate, academic, legal, WHO/FAO/OECD…
Extract and summarize risk factors from SEC filings using Octagon MCP.
$ npx skills add OctagonAI/skills --skill sec-risk-factors -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills sec-risk-factors --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-risk-factors .claude/skills/sec-risk-factors && 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-risk-factors" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-risk-factors into .claude/skills/sec-risk-factors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-risk-factors", 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-risk-factorsType 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-risk-factors -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills sec-risk-factors --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-risk-factors .agents/skills/sec-risk-factors && 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-risk-factors" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-risk-factors into .agents/skills/sec-risk-factors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-risk-factors", 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-risk-factors -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills sec-risk-factors --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-risk-factors .cursor/skills/sec-risk-factors && 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-risk-factors" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-risk-factors into .cursor/skills/sec-risk-factors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-risk-factors", 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-risk-factors--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-risk-factors -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills sec-risk-factors --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-risk-factors .gemini/skills/sec-risk-factors && 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-risk-factors" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-risk-factors into .gemini/skills/sec-risk-factors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-risk-factors", 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-risk-factorsInstalls 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-risk-factors -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-risk-factors .github/skills/sec-risk-factors && 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-risk-factors" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-risk-factors into .github/skills/sec-risk-factors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-risk-factors", 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-risk-factors -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-risk-factors --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-risk-factors .opencode/skills/sec-risk-factors && 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-risk-factors" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-risk-factors into .opencode/skills/sec-risk-factors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-risk-factors", 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.
sec-risk-factorsExtract and summarize risk factors from SEC filings using Octagon MCP.
Sec Risk Factors is an agent skill from OctagonAI/skills. Extract and summarize risk factors from SEC filings using Octagon MCP. Use when analyzing Item 1A risk disclosures, categorizing business risks, identifying new or material risks, and comparing risk profiles across companies or time periods.
Its SKILL.md is about 1.6k 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 Legal & Compliance, covering MCP servers. It works with Model Context Protocol and SEC EDGAR. The repository describes itself as: A collection of Claude skills for agentic financial research by Octagon. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 51e938c. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sec Risk Factors loads about 1.6k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 552 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.
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.
The full file from OctagonAI/skills at commit 51e938c, republished under its MIT licence (© OctagonAI). 552 words, ~1,555 tokens.
.claude/skills/sec-risk-factors/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Extract and summarize risk factors from SEC filings (10-K and 10-Q) for public companies using the Octagon MCP server.
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Determine the following before querying:
Use the octagon-agent tool with a natural language prompt:
Extract and summarize the risk factors section from <TICKER>'s latest annual report.MCP Call Format:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Extract and summarize the risk factors section from AAPL's latest annual report."
}
}The agent returns categorized risk factors including:
| Risk Category | Description | Source Pages |
|---|---|---|
| Macroeconomic & Industry Risks | Economic downturns, inflation, currency | 10-K, p.8 |
| Legal & Regulatory Compliance | Legal proceedings, regulatory challenges | 10-K, p.15-16 |
| Financial Risks | Pricing pressures, competition, FX volatility | 10-K, p.18-31 |
| Business Risks | Product transitions, competitiveness | 10-K, p.11 |
| Operational Risks | Manufacturing, logistics, outsourcing | 10-K, p.11 |
| Data Security & Privacy | Cybersecurity, data protection | 10-K, p.18 |
| Supply Chain Risks | Geopolitical tensions, natural disasters | 10-K, p.9 |
Data Sources: octagon-sec-agent
See references/interpreting-results.md for guidance on:
Standard Risk Factor Extraction:
Extract and summarize the risk factors section from AAPL's latest annual report.Quarterly Risk Updates:
Extract any new or updated risk factors from TSLA's latest 10-Q filing.Specific Risk Category:
Extract cybersecurity and data privacy risk factors from META's latest 10-K.Comparative Analysis:
Compare the risk factors between GOOGL's 2024 and 2023 10-K filings.Industry Comparison:
Extract and compare supply chain risk factors from AAPL and MSFT's latest 10-K filings.Regulatory Focus:
Extract all regulatory and legal compliance risk factors from JPM's latest annual report.| Risk Type | Examples |
|---|---|
| Economic Cycles | Recessions, GDP decline, consumer spending |
| Inflation | Input costs, pricing power, margin pressure |
| Interest Rates | Borrowing costs, valuation impacts |
| Currency | FX volatility, translation effects |
| Geopolitical | Trade wars, sanctions, political instability |
| Risk Type | Examples |
|---|---|
| Supply Chain | Supplier concentration, logistics disruptions |
| Manufacturing | Production issues, quality control |
| Technology | System failures, IT infrastructure |
| Human Capital | Key personnel, labor relations |
| Business Continuity | Natural disasters, pandemics |
| Risk Type | Examples |
|---|---|
| Liquidity | Cash flow, access to capital |
| Credit | Counterparty risk, receivables |
| Market | Stock price volatility, valuation |
| Tax | Rate changes, audit exposure |
| Pension | Funding obligations, assumptions |
| Risk Type | Examples |
|---|---|
| Compliance | Industry regulations, licensing |
| Litigation | Lawsuits, class actions |
| Antitrust | Competition law, market dominance |
| Data Privacy | GDPR, CCPA, data breaches |
| Environmental | ESG regulations, climate policies |
| Risk Type | Examples |
|---|---|
| Competition | Market share, pricing pressure |
| Disruption | Technology shifts, new entrants |
| M&A | Integration risks, deal failure |
| Innovation | R&D success, product pipeline |
| Reputation | Brand damage, public perception |
Risks added since prior filing:
Risks no longer disclosed:
Risks with changed wording:
Order matters: Risks are typically ordered by perceived materiality - first risks are often most significant.
Length signals importance: More detailed risk descriptions often indicate greater management concern.
Specificity is key: Specific examples suggest real concerns vs. boilerplate language.
Cross-reference MD&A: Management discussion often provides context for risk factors.
Track changes YoY: New, removed, or modified risks reveal evolving concerns.
Compare to peers: Unique risks vs. industry-standard disclosures indicate company-specific issues.
© OctagonAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/sec-risk-factors of OctagonAI/skills.
Open the folder on GitHubat commit 51e938c
Sec Risk Factors 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 Risk Factors this skillOctagonAI/skills | 127 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Kimi DatasourceMoonshotAI/kimi-code | 7.8k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Datapack Builderw95/awesome-claude-corporate-skills | 244 | 1 repos | ~6k | Automated safety check: Pass | MIT | |
| Patsnap Regulatory Guidelinespatsnap/mcp | 113 | — | ~682 | Automated safety check: Pass | Apache-2.0 | |
| Tw Legal RAGaa0101181514/tw-legal-rag | 328 | — | ~580 | Automated safety check: Pass | Custom licence | |
| LexGuard MCP Developer GuideSeoNaRu/lexguard-mcp | 131 | — | ~1.1k | Automated safety check: Pass | Custom licence |
MoonshotAI/kimi-code
Universal data-source assistant for stocks (Wind, S&P, SEC EDGAR), macro (World Bank, IMF, FRED, NBS), Chinese government data and standards (GB/HB/DB/TT), corporate, academic, legal, WHO/FAO/OECD…
w95/awesome-claude-corporate-skills
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers.
patsnap/mcp
Patsnap Regulatory & Guidelines MCP for AI agents. An agent skill from patsnap/mcp.
aa0101181514/tw-legal-rag
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
SeoNaRu/lexguard-mcp
Developer guide for the LexGuard Korean law MCP server: layer rules, adding tools and repositories, JSON-RPC responses, law API handling, answer rules and tests.
RobThePCGuy/Claude-Patent-Creator
Guides through adding new features, MCP tools, analyzers, and extending the patent creator system.
OctagonAI/skills
Retrieve analyst financial estimates including Revenue and EPS projections with low/high ranges and analyst coverage.
OctagonAI/skills
Retrieve detailed balance sheet statement data including Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, and Net Debt for public companies.
OctagonAI/skills
Retrieve year-over-year growth in balance sheet items including Total Assets, Total Liabilities, Shareholders Equity, Cash, and Inventories.
OctagonAI/skills
Retrieve market capitalization data for multiple companies at once using Octagon MCP.
OctagonAI/skills
Retrieve year-over-year growth in cash flow metrics including Operating Cash Flow, Free Cash Flow, and Net Cash Flow.
OctagonAI/skills
Retrieve real-time or historical cash flow statement data including Net Income, Operating Cash Flow, Investing Cash Flow, Financing Cash Flow, Free Cash Flow, and Cash Position for public companies.
Works with
Categories
Extract and summarize risk factors from SEC filings using Octagon MCP. Sec Risk Factors is an agent skill from OctagonAI/skills. Extract and summarize risk factors from SEC filings using Octagon MCP.
Sec Risk Factors fits situations like: analyzing Item 1A risk disclosures; categorizing business risks; identifying new; comparing risk profiles across companies.
Run `npx skills add OctagonAI/skills --skill sec-risk-factors -a claude-code`. Or copy the skill folder (skills/sec-risk-factors in OctagonAI/skills) into .claude/skills/sec-risk-factors in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OctagonAI/skills --skill sec-risk-factors -a codex`. Or copy the skill folder (skills/sec-risk-factors in OctagonAI/skills) into .agents/skills/sec-risk-factors in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OctagonAI/skills --skill sec-risk-factors -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-risk-factors, .gemini/skills/sec-risk-factors, .github/skills/sec-risk-factors and .opencode/skills/sec-risk-factors in your project.
SKILL.md names no scripts, command-line tools or credentials: Sec Risk Factors is instructions for the agent only.
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.
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.
Sec Risk Factors is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.2k 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 2.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sec Risk Factors: Kimi Datasource (MoonshotAI/kimi-code, 7.8k stars), Datapack Builder (w95/awesome-claude-corporate-skills, 244 stars), Patsnap Regulatory Guidelines (patsnap/mcp, 113 stars) and Tw Legal RAG (aa0101181514/tw-legal-rag, 328 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.