parity-check
Verify parity between notebook-like pipeline execution and scripted experiment workflows so research findings are reproducible.
Skill by Open-Quant
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-parity-check
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: data, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/parity-check
What's inside
- Skill name
parity-check- Description
- Verify parity between notebook-like pipeline execution and scripted experiment workflows so research findings are reproducible.
- License
- MIT
- Instructions
- 32 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Parity Check Use this skill when confirming notebook results and experiment-runner results are consistent for core metrics. ## What this skill does 1. Runs notebook-like pipeline calls in Python. 2. Runs scripted experiment runner paths. 3. Compares key outputs: - event count - realized Sharpe - portfolio Sharpe - net Sharpe (where applicable) ## Primary test target - `python/tests/test_experiment_scaffold.py` ## Command ```bash uv run --python .venv/bin/python pytest python/tests/test_experiment_scaffold.py -q ``` ## Escalation criteria If metrics drift: 1. Check config mismatch (`pipeline`/`costs`/`gates`). 2. Check dataset seed and asset list. 3. Check run manifest `config_digest` and git SHA.
From Open-Quant/openquant, MIT.
More from Open-Quant/openquant
- 0.506score
flywheel-runner
Open-Quant
Run OpenQuant notebook-to-experiment flywheel iterations (single run and grid run), capture artifacts, and summarize ranked outcomes for promotion decisions.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
notebook-executor
Open-Quant
Execute OpenQuant notebook code cells non-interactively, persist outputs to artifact paths, and fail fast on runtime errors.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
promotion-gate
Open-Quant
Evaluate promotion readiness from flywheel outputs using statistical and economic gates, then produce a concise go/no-go decision note.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
feature-discovery
Open-Quant
Build candidate features, run feature screening and diagnostics, and prepare accepted feature sets for downstream flywheel experiments.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
artifact-auditor
Open-Quant
Audit experiment artifact folders for completeness, schema consistency, and promotion traceability across single and grid runs.
SkillDFreshness: D★ 52Claude Code +9
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
- Repository
- github.com/Open-Quant/openquant
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Open-Quant
- 0.506score
flywheel-runner
Open-Quant
Run OpenQuant notebook-to-experiment flywheel iterations (single run and grid run), capture artifacts, and summarize ranked outcomes for promotion decisions.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
notebook-executor
Open-Quant
Execute OpenQuant notebook code cells non-interactively, persist outputs to artifact paths, and fail fast on runtime errors.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
promotion-gate
Open-Quant
Evaluate promotion readiness from flywheel outputs using statistical and economic gates, then produce a concise go/no-go decision note.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
feature-discovery
Open-Quant
Build candidate features, run feature screening and diagnostics, and prepare accepted feature sets for downstream flywheel experiments.
SkillDFreshness: D★ 52Claude Code +9 - 0.506score
artifact-auditor
Open-Quant
Audit experiment artifact folders for completeness, schema consistency, and promotion traceability across single and grid runs.
SkillDFreshness: D★ 52Claude Code +9
Cite this page
parity-check skill. Agent Mart. https://agentmart.dev/skills/open-quant-parity-check (last updated 2026-10-24)