CLAUDE.md is agent-read markdown (claude) from ml4t/skills.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# ML4T Skills - Agent Entry Point
This repository's authoritative agent guidance lives in:
- `AGENTS.md` for repo-wide authoring rules and current project goals
Current project state:
- The repo contains 61 `SKILL.md` files across 10 categories.
- The active objective is to keep every skill concept-first and every `## Production Implementation` snippet aligned with the published `ml4t-*` library APIs.
- When a skill snippet conflicts with library source, treat the library source as ground truth and update the skill/docs.
- No `ml4t.*` imports may appear before `## Production Implementation`.
Local agent infrastructure:
- Codex/OpenAI config: `AGENTS.md`
- Local project-management state belongs under `.workspace/`
- Runtime-specific state such as `.agents/`, `.claude/`, and `.codex/` is ignored and not part of the public distribution
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
GET https://markdownregistry.com/api/v1/artifacts/art_o5s3exeoofsilcgy
GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/CLAUDE.md
GET https://markdownregistry.com/api/v1/blob/38fc07bce778642ab46dbe0522185cf4f5a5d2e822f8956683298e705c6bef6c
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
ml4t/skills · advanced-ai/agent-governance/SKILL.md · Security and governance controls for autonomous financial agents. Use when agents can call tools, read untrusted…
ml4t/skills · advanced-ai/agent-state-memory/SKILL.md · Durable agent state, memory, and replay for autonomous research workflows. Use when an agent must resume, audit, or…
ml4t/skills · advanced-ai/agent-tool-contracts/SKILL.md · Typed tool contracts for autonomous research agents. Use when exposing files, search, databases, or execution tools to…
ml4t/skills · advanced-ai/multi-agent-forecasting/SKILL.md · Multi-agent probability forecasting with diversity, aggregation, and debate controls. Use when combining several agent…
ml4t/skills · advanced-ai/research-operator/SKILL.md · Thin autonomous research operator pattern for ML4T experiments. Use when an agent should inspect artifacts, read…
ml4t/skills · backtest/cost-model/SKILL.md · Commission, slippage, and market-impact cost models for realistic strategy simulation. Use when backtesting to ensure…
ml4t/skills · backtest/rl-execution/SKILL.md · Reinforcement learning for trade execution and hedging. Use when optimizing execution algorithms or dynamic hedging…
ml4t/skills · backtest/run-backtest/SKILL.md · Event-driven backtesting with realistic order execution, position tracking, and performance measurement. Use when…
ml4t/skills · backtest/sensitivity-analysis/SKILL.md · Test strategy robustness to parameter variation and detect overfitting cliffs. Use when validating that performance is…
ml4t/skills · backtest/tearsheet/SKILL.md · Generate comprehensive performance reports from backtest returns. Use when summarizing backtest results for review or…
ml4t/skills · concepts/backtest-overfitting/SKILL.md · Detect and prevent overfitting to historical data via multiple testing corrections and pre-registration. Use when…
