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flywheel-runner

Run OpenQuant notebook-to-experiment flywheel iterations (single run and grid run), capture artifacts, and summarize ranked outcomes for promotion decisions.

Skill by Open-Quant

IndexedMIT★ 52
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/open-quant-flywheel-runner

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Run OpenQuant notebook-to-experiment flywheel iterations (single run and grid run), capture artifacts, and summarize ranked outcomes for promotion decisions.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/flywheel-runner

What's inside

Skill name
flywheel-runner
Description
Run OpenQuant notebook-to-experiment flywheel iterations (single run and grid run), capture artifacts, and summarize ranked outcomes for promotion decisions.
License
MIT
Instructions
54 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Flywheel Runner

Use this skill when you need to execute the research flywheel end-to-end and produce deterministic artifacts.

## What this skill does

1. Runs a baseline single experiment from TOML config.
2. Runs a grid (algo wheel) experiment from a grid TOML.
3. Produces artifact directories and leaderboard output.
4. Surfaces top run metrics and promotion flags.

## Commands

```bash
# Single run
uv run --python .venv/bin/python python experiments/run_pipeline.py \
  --config experiments/configs/futures_oil_baseline.toml \
  --out experiments/artifacts

# Grid run (parameter wheel)
uv run --python .venv/bin/python python experiments/run_pipeline.py \
  --config experiments/configs/futures_oil_baseline.toml \
  --grid-config experiments/configs/futures_oil_grid.toml \
  --out experiments/artifacts
```

## Expected outputs

- Single run folder containing:
  - `run_manifest.json`
  - `metrics.parquet`
  - `events.parquet`
  - `signals.parquet`
  - `weights.parquet`
  - `backtest.parquet`
  - `decision.md`
- Grid run folder containing:
  - `leaderboard.parquet`
  - one subfolder per run with the single-run files above

## File targets

- Runner: `experiments/run_pipeline.py`
- Base config: `experiments/configs/futures_oil_baseline.toml`
- Grid config: `experiments/configs/futures_oil_grid.toml`
- Output root: `experiments/artifacts/`

## Quality checks

```bash
uv run --python .venv/bin/python pytest python/tests/test_experiment_scaffold.py -q
```

From Open-Quant/openquant, MIT.

Signals

Stars
52
Forks
6
Open issues
3
Last commit (this folder)
Mar 4, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

flywheel-runner skill. Agent Mart. https://agentmart.dev/skills/open-quant-flywheel-runner (last updated 2026-10-24)