Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/jesse-ai/jesse/agents-mdgit clone --depth 1 https://github.com/jesse-ai/jesseWhat 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 | $0.02749 | $0.02749 |
| Opus 5 | $0.01375 | $0.01375 |
| Sonnet 5 | $0.00550 | $0.00550 |
| Haiku 4.5 | $0.00275 | $0.00275 |
Grade A, and why
jesse 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 3d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jesse Repository Guide for AI Agents
Overview
The jesse repository is the core open-source framework of the Jesse trading system. It contains the main Python codebase for backtesting trading strategies, importing historical data from crypto exchanges, running optimizations, and providing the API backend for the dashboard. It glues together the other repositories and makes them work together.
Skills
This repo stores shared Agent Skills in .claude/skills/ — focused, task-specific playbooks used by Claude Code and Codex. Codex also discovers them through the repository-relative .agents/skills symlink.
Before starting a task, scan the YAML frontmatter of every .claude/skills/*/SKILL.md. When a skill's description matches the task, read that SKILL.md completely before acting. A matching skill is the authoritative reference for what it covers, and its details are deliberately kept out of this file. This scan is the cross-platform fallback if native skill discovery or symlink support is unavailable.
jesse-strategy-tests— conventions for writing Jesse strategy and engine tests.
Key Characteristics
Central Framework
- jesse-live depends on this - Changes here affect live trading
- jesse-rust integrates here - Rust functions are called from this codebase
- dashboard consumes this API - Frontend uses the FastAPI routes and controller files.
Technology Stack
- Python - Primary language
- FastAPI - API framework for all routes
- NumPy - Array operations and calculations
- keewee - ORM for the database
Development Workflow
Making Changes
When implementing features or fixing bugs:
- Understand the scope - Determine if other repositories such as the dashboard need updates
- Implement the code in the appropriate module
- Write/update tests - Maintain test coverage
- Run tests to verify changes:
cd-jesse && pytest - Consider jesse-live - Does this affect live trading?
- Update API routes if needed - Follow FastAPI patterns
- Don't restart server unless specifically asked
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.
- 3d ago First seen · 219 lines · 2,749 tokens per session scan A 79f34f705b37
jesse AGENTS.md is an instructions file published in the GitHub repository jesse-ai/jesse (8,405 stars, last pushed 6d ago), licensed MIT. It adds 2,749 tokens to every session, about $0.0137 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 2026-08-30.
Other instructions, from other repositories
decker-ai CLAUDE.md
Instructions for gigshow/decker-ai, covering decker — agent session notes (this repo), what this repo is, start here, skills (summary) and conventions.
binance-trading-bot AGENTS.md
AGENTS.md instructions for chrisleekr/binance-trading-bot, covering engineering charter, project, architecture principles, core invariants and stack.
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