Borrowing it
Nothing to install: this file belongs to kimrejstrom/alpacalyzer-algo-trader. 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/kimrejstrom/alpacalyzer-algo-trader/main/AGENTS.mdgit clone --depth 1 https://github.com/kimrejstrom/alpacalyzer-algo-traderWrote 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/kimrejstrom/alpacalyzer-algo-trader/agents-md)<a href="https://agentmods.dev/instructions/kimrejstrom/alpacalyzer-algo-trader/agents-md"><img src="https://agentmods.dev/badge/instructions/kimrejstrom/alpacalyzer-algo-trader/agents-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/kimrejstrom/alpacalyzer-algo-trader/agents-md"><img src="https://agentmods.dev/badge/instructions/kimrejstrom/alpacalyzer-algo-trader/agents-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 | $0.01865 | $0.01865 |
| Opus 5 | $0.00932 | $0.00932 |
| Sonnet 5 | $0.00373 | $0.00373 |
| Haiku 4.5 | $0.00186 | $0.00186 |
Grade A, and why
alpacalyzer-algo-trader AGENTS.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 10d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Agent Instructions for Alpacalyzer Algo Trader
Critical: You are a principal software engineer working on Alpacalyzer Algo Trader. Your job: build features incrementally using test-first development.
📋 Related Documentation:
- Code Review Subagent - Automated PR review agent
- Architecture Overview - Architecture reference
- Superpowers Plugin Integration - How to use superpowers skills with this project
- Docs Index - Progressive disclosure entry point
Important: This document (AGENTS.md) always takes precedence over generic superpowers plugin skills. See SUPERPOWERS_INTEGRATION.md for details.
Quick Start
# 1. Install dependencies
uv sync
# 2. Setup environment
cp .env.example .env
# Edit .env with required API keys:
# - ALPACA_API_KEY (Alpaca API)
# - ALPACA_SECRET_KEY (Alpaca secret)
# - LLM_API_KEY (OpenAI-compatible LLM provider, e.g., OpenRouter)
# 3. Start development
uv run alpacalyzer --analyze # Analysis mode (no real trades)
uv run alpacalyzer # Full trading mode
🎯 Golden Rules
- GitHub Issue First - No work without an issue. Create one if missing.
- Tests Before Code - Write tests first, then implement.
- One Issue Per Session - Each worktree session handles exactly ONE issue. Never start a new issue in the same session.
- One Thing At A Time - Single feature per PR, focused commits.
- No Secrets - Use environment variables, never hardcode credentials.
- Debug Efficiently - Run tests once, save output, analyze. Never run full test suite repeatedly.
See docs/dev/tdd-flow.md for detailed workflow. For code invariants, see docs/principles.md.
🏗️ Architecture Overview
┌─────────────────────────────────────────────────────────────────┐
│ OPPORTUNITY PIPELINE │
├─────────────────────────────────────────────────────────────────┤
│ ScannerRegistry → OpportunityAggregator │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ TRADING ORCHESTRATOR │
├─────────────────────────────────────────────────────────────────┤
│ TradingOrchestrator: scan() → analyze() → execute() │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ EXECUTION ENGINE │
├─────────────────────────────────────────────────────────────────┤
│ ExecutionEngine: SignalQueue, PositionTracker, OrderManager │
│ Strategies: Momentum, Breakout, MeanReversion │
└─────────────────────────────────────────────────────────────────┘
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.
- 10d ago First seen · 187 lines · 1,865 tokens per session scan A f798935e4eee
alpacalyzer-algo-trader AGENTS.md is an instructions file published in the GitHub repository kimrejstrom/alpacalyzer-algo-trader (2 stars, last pushed 3mo ago), licensed MIT. It adds 1,865 tokens to every session, about $0.0093 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.