Borrowing it
Nothing to install: this file belongs to mikejj-creation/stocksense. 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/mikejj-creation/stocksense/main/CLAUDE.mdgit clone --depth 1 https://github.com/mikejj-creation/stocksenseWrote 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/mikejj-creation/stocksense/claude-md)<a href="https://agentmods.dev/instructions/mikejj-creation/stocksense/claude-md"><img src="https://agentmods.dev/badge/instructions/mikejj-creation/stocksense/claude-md.svg" alt="Measured on agentmods" 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 | $0.00368 | $0.00368 |
| Opus 5 | $0.00184 | $0.00184 |
| Sonnet 5 | $0.00074 | $0.00074 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
stocksense 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 7d 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.
What it actually says
CLAUDE.md
Project Overview
StockSense — an open-source MCP server providing AI agents with access to financial data (SEC filings, fundamentals, insider trades, price history).
Tech Stack
- Python 3.11+
- MCP SDK (
mcppackage) - SEC EDGAR API (free, no key needed)
- yfinance (price data)
- Financial Modeling Prep or Alpha Vantage (fundamentals)
Project Structure
stocksense/
├── src/
│ └── stocksense/
│ ├── __init__.py
│ ├── server.py # MCP server entry point
│ ├── tools/ # Individual MCP tool implementations
│ │ ├── sec_filings.py
│ │ ├── financials.py
│ │ ├── insider_trades.py
│ │ ├── price_history.py
│ │ └── analyze.py
│ └── data/ # Data fetching and caching utilities
│ ├── edgar.py
│ ├── market.py
│ └── cache.py
├── tests/
├── pyproject.toml
├── README.md
└── CLAUDE.md
Development Commands
# Install dependencies
pip install -e ".[dev]"
# Run the server
python -m stocksense
# Run tests
pytest
Key Design Decisions
- All data sources are free or very cheap ($0-14/month)
- SEC EDGAR is the core differentiator (free, unlimited, rich data)
- Tools return structured data optimized for LLM consumption
- Caching layer to avoid redundant API calls
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.
- 7d ago First seen · 58 lines · 368 tokens per session scan A 3b5fab5ae699
stocksense CLAUDE.md is an instructions file published in the GitHub repository mikejj-creation/stocksense (0 stars, last pushed 5mo ago), licensed MIT. It adds 368 tokens to every session, about $0.0018 per session on Opus 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 2026-08-31.
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