agentleFS
austin-starksaustin-starks/Public-Portfolio-Challenge/skills/engine-sanity/AGENTS.md

Public-Portfolio-Challenge / engine-sanity

AGENTS.md82 starsChanged 3 months agoMITView on GitHub

The mandatory pre-flight contract checks (Stage S0) that must pass before trusting NexusTrade's certification engine for any strategy work. Use at the start of a bakeoff or certification campaign to prove the walk-forward engine runs end-to-end, windows don't leak, fold winners persist, and the engine doesn't fabricate values for dead/not-yet-listed names. Each check has a STOP-and-report failure mode; these runs do NOT count toward any certification minimum. Invoke with /engine-sanity, or let it auto-activate when a task matches the description…

The file

Files
AGENTS.md

engine-sanity

The mandatory pre-flight contract checks (Stage S0) that must pass before trusting NexusTrade's certification engine for any strategy work. Use at the start of a bakeoff or certification campaign to prove the walk-forward engine runs end-to-end, windows don't leak, fold winners persist, and the engine doesn't fabricate values for dead/not-yet-listed names. Each check has a STOP-and-report failure mode; these runs do NOT count toward any certification minimum.

Activation

Invoke with /engine-sanity, or let it auto-activate when a task matches the description above. This is a SKILL.md skill on the open Agent Skills standard — Claude Code, Codex CLI, Cursor, Gemini CLI, GitHub Copilot and ~15 other tools read it (natively or via the install.sh adapter).

Usage

See SKILL.md for the full workflow, triggers, hard constraints, and detail. Reference material (if any) lives in references/.

Requirements

The NexusTrade MCP server must be connected — this skill drives NexusTrade's deterministic backtest/certification/compute tools (deferred; load schemas via ToolSearch).

Part of

The Public Portfolio Challenge skills library — a functional decomposition of the Episode 10 certification runbooks. See the library index at ../README.md.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.