Borrowing it
Nothing to install: this file belongs to daloopa/investing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/daloopa/investing/main/CLAUDE.mdgit clone --depth 1 https://github.com/daloopa/investingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/daloopa/investing/claude-md)<a href="https://agentmods.dev/instructions/daloopa/investing/claude-md"><img src="https://agentmods.dev/badge/instructions/daloopa/investing/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/daloopa/investing/claude-md"><img src="https://agentmods.dev/badge/instructions/daloopa/investing/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01653 | $0.01653 |
| Opus 5.5 | $0.00661 | $0.00661 |
| Sonnet 5.5 | $0.00331 | $0.00331 |
| Haiku 4.5 | $0.00165 | $0.00165 |
Grade A, and why
investing CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daloopa Financial Analysis Toolkit
This is a financial analysis toolkit powered by Daloopa's institutional-grade financial data, designed for hedge fund analysts doing fundamental equity research.
Analyst Context
- Perspective: long/short equity, fundamental analysis
- Data source: Daloopa MCP server (SEC filings, earnings, financial statements)
- Market data: MCP-first (use whatever market data MCP the user has configured), fallback to
infra/market_data.py - Consensus estimates: optional (when available, adds beat/miss and forward context)
- All analysis should be thorough, data-driven, and cite sources
- Follow
design-system.mdfor number formatting, analytical density, and styling
MCP Tool Workflow
Always follow this pattern when working with Daloopa data:
discover_companies— Look up company by ticker or name to getcompany_iddiscover_company_series— Find available financial metrics and KPIs for the companyget_company_fundamentals— Pull actual data for specific series and periodssearch_documents— Search SEC filings (10-K, 10-Q, 8-K) for qualitative information
Market Data
Market data uses whatever MCP the user has configured (preferred), falling back to infra/market_data.py if no market data MCP is available. See .claude/skills/data-access.md Section 2 for the full resolution order.
Fallback scripts (when no MCP provides market data):
python infra/market_data.py quote TICKER— price, market cap, shares, betapython infra/market_data.py multiples TICKER— P/E, EV/EBITDA, P/S, P/Bpython infra/market_data.py history TICKER --period 2y— historical OHLCVpython infra/market_data.py peers TICKER1 TICKER2 ...— side-by-side multiplespython infra/market_data.py risk-free-rate— 10Y Treasury from FRED
Design System
All skills reference .claude/skills/design-system.md for consistent formatting:
- Number formatting ($X.Xbn, X.X%, X.Xx multiples, +/-Xbps)
- Three-layer analytical density (data point + context + implication)
- Table conventions (columns = periods, rows = metrics, growth sub-rows)
- Commentary blocks after every major table
- Color palette (navy #1B2A4A, steel blue #4A6FA5, gold #C5A55A)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 108 lines · 1,653 tokens per session scan A 82f0f91a9953
investing CLAUDE.md is an instructions file published in the GitHub repository daloopa/investing (488 stars, last pushed 8d ago), licensed Apache-2.0. It adds 1,653 tokens to every session, about $0.0066 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
investing CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| investing CLAUDE.mddaloopa/investing | Instructions file | 488 | 8d ago | Apache-2.0 | A | 1,653 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |