Stocksense — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Stocksense (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.mikejj-creation/stocksense -->
An MCP (Model Context Protocol) server that gives AI agents access to financial data — SEC EDGAR filings, market fundamentals, insider trades, and price history. No API keys needed.
pip install stocksenseAdd to your Claude Desktop config:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"stocksense": {
"command": "stocksense"
}
}
}Quit and reopen Claude Desktop. You should see the hammer icon with 13 tools available.
| Tool | Description |
|---|---|
price_history | Get historical OHLCV price data for any ticker |
quote | Get current price, market cap, P/E, 52-week range |
search_filings | Search SEC EDGAR filings (10-K, 10-Q, 8-K) |
get_filing | Get full text of a specific SEC filing |
insider_trades | Get recent insider buys/sells from Form 4 filings |
financials | Get income statement, balance sheet, cash flow, and key ratios |
analyze_company | Comprehensive research brief aggregating all data sources |
compare_companies | Compare key metrics across multiple companies side-by-side |
earnings | Quarterly earnings history with EPS estimates vs actuals |
company_profile | Company profile: sector, industry, and business description |
dividends | Dividend history and current yield |
key_events | Upcoming earnings dates, ex-dividend date, and estimates |
technicals | Technical indicators: SMA, EMA, RSI, MACD, and performance |
# Clone and install for development
git clone https://github.com/mikejj-creation/stocksense.git
cd stocksense
pip install -e ".[dev]"
# Run tests
pytest
# Run linter
ruff check src/ tests/StockSense uses free public data from Yahoo Finance and SEC EDGAR. Users are responsible for complying with each provider's terms of service. This tool is for informational purposes only — not financial advice.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.