Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
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.
$ npx skills add OctagonAI/skills --skill cash-flow-statement -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills cash-flow-statement --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/cash-flow-statement .claude/skills/cash-flow-statement && 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 "cash-flow-statement" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/cash-flow-statement into .claude/skills/cash-flow-statement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cash-flow-statement", 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/cash-flow-statementType 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 cash-flow-statement -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills cash-flow-statement --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/cash-flow-statement .agents/skills/cash-flow-statement && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cash-flow-statement" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/cash-flow-statement into .agents/skills/cash-flow-statement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cash-flow-statement", 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 cash-flow-statement -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills cash-flow-statement --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/cash-flow-statement .cursor/skills/cash-flow-statement && 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 "cash-flow-statement" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/cash-flow-statement into .cursor/skills/cash-flow-statement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cash-flow-statement", 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/cash-flow-statement--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 cash-flow-statement -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills cash-flow-statement --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/cash-flow-statement .gemini/skills/cash-flow-statement && 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 "cash-flow-statement" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/cash-flow-statement into .gemini/skills/cash-flow-statement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cash-flow-statement", 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 cash-flow-statementInstalls 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 cash-flow-statement -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/cash-flow-statement .github/skills/cash-flow-statement && 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 "cash-flow-statement" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/cash-flow-statement into .github/skills/cash-flow-statement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cash-flow-statement", 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 cash-flow-statement -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 cash-flow-statement --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/cash-flow-statement .opencode/skills/cash-flow-statement && 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 "cash-flow-statement" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/cash-flow-statement into .opencode/skills/cash-flow-statement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cash-flow-statement", 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.
cash-flow-statementRetrieve 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.
Cash Flow Statement is an agent skill from 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. Use when analyzing cash generation, capital allocation, or liquidity trends.
Its SKILL.md is about 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 sits in Business, Finance & HR. 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.
5 steps, taken from the first numbered list 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.
Cash Flow Statement loads about 1k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 382 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). 382 words, ~1,024 tokens.
.claude/skills/cash-flow-statement/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Retrieve real-time or historical cash flow statement data for public companies using Octagon MCP.
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Retrieve real-time or historical cash flow statement data for <TICKER>, limited to <N> records and filtered by period <FY|Q>.MCP Call:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve real-time or historical cash flow statement data for AAPL, limited to 5 records and filtered by period FY"
}
}The agent returns a table with absolute cash flow figures:
| Fiscal Year | Net Income (USD) | Operating Cash Flow (USD) | Investing Cash Flow (USD) | Financing Cash Flow (USD) | Free Cash Flow (USD) | Net Change in Cash (USD) | Cash at End of Period (USD) |
|---|---|---|---|---|---|---|---|
| 2025 | $112.01B | $111.48B | $15.19B | -$120.69B | $98.77B | $5.99B | $35.93B |
| 2024 | $93.74B | $118.25B | $2.94B | -$121.98B | $108.81B | -$794.00M | $29.94B |
| 2023 | $96.99B | $110.54B | $3.71B | -$108.49B | $99.58B | $5.76B | $30.74B |
| 2022 | $99.80B | $122.15B | -$2.24B | -$110.75B | $111.44B | -$1.09B | $24.98B |
| 2021 | $94.68B | $104.04B | -$1.45B | -$93.35B | $92.95B | -$386.00M | $35.93B |
Data Source: octagon-financials-agent
After receiving data, generate observations:
| Metric | Definition |
|---|---|
| Net Income | Bottom-line profit (starting point for OCF) |
| Operating Cash Flow | Cash from core business operations |
| Investing Cash Flow | Cash for/from investments and capex |
| Financing Cash Flow | Cash from/to debt and equity activities |
| Free Cash Flow | OCF minus capital expenditures |
| Net Change in Cash | Total cash change for the period |
| Cash at End of Period | Ending cash and equivalents balance |
Cash Conversion = Operating Cash Flow / Net IncomeCapital Expenditures = Operating Cash Flow - Free Cash FlowExample: $111.48B - $98.77B = $12.71B capex
Financing outflows typically include:
Strong indicators:
Warning signs:
Based on results, suggest deeper analysis:
© 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/cash-flow-statement of OctagonAI/skills.
Open the folder on GitHubat commit 51e938c
Cash Flow Statement 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 |
|---|---|---|---|---|---|---|
| Cash Flow Statement this skillOctagonAI/skills | 127 | — | ~1k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Dr Manhattanguzus/dr-manhattan | 204 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Agentic Trading DeskOft3r/agentic-trading-desk | 306 | — | ~5.1k | Automated safety check: Pass | MIT |
Chen-zexi/open-ptc-agent
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Works with
Categories
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. Cash Flow Statement is an agent skill from 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.
Cash Flow Statement fits situations like: analyzing cash generation; capital allocation; liquidity trends.
Run `npx skills add OctagonAI/skills --skill cash-flow-statement -a claude-code`. Or copy the skill folder (skills/cash-flow-statement in OctagonAI/skills) into .claude/skills/cash-flow-statement in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OctagonAI/skills --skill cash-flow-statement -a codex`. Or copy the skill folder (skills/cash-flow-statement in OctagonAI/skills) into .agents/skills/cash-flow-statement 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 cash-flow-statement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cash-flow-statement, .gemini/skills/cash-flow-statement, .github/skills/cash-flow-statement and .opencode/skills/cash-flow-statement in your project.
SKILL.md names no scripts, command-line tools or credentials: Cash Flow Statement 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.
Cash Flow Statement is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4.1k 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 1.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cash Flow Statement: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Dr Manhattan (guzus/dr-manhattan, 204 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.