ml-backtest-dataset
Local bundle for ML inference, dataset scripting, and backtesting. Ensures advisory-only boundaries for model output.
Install
mkdir -p .claude/skills/ml-backtest-dataset && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13573" && unzip -o skill.zip -d .claude/skills/ml-backtest-dataset && rm skill.zipInstalls to .claude/skills/ml-backtest-dataset
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Codex-local skill bundle for ML inference, dataset scripts, backtests, and advisory-only model boundaries.Key capabilities
- →Map model inference code, dataset builders, and feature generation.
- →Identify backtest scripts and stored artifacts.
- →Preserve risk-policy and paper-trading guardrails around predictions.
- →Document any temporal split assumptions.
- →Identify inference/backtest entrypoints.
How it works
This skill scouts and maps ML components, ensuring risk policies are preserved and documenting assumptions, to prepare for or run backtests.
Inputs & outputs
When to use ml-backtest-dataset
- →Backtest ML model predictions
- →Inspect feature generation scripts
- →Validate dataset temporal splits
About this skill
ML Backtest Dataset
This is a Codex-local skill bundle, not a guaranteed auto-discovered official Codex skill.
Rules
- Scout first: map model inference code, dataset builders, feature generation, backtest scripts, stored artifacts, and tests.
- Keep ML output advisory unless a future explicitly approved task changes that product boundary.
- Avoid training/validation leakage and document any temporal split assumptions.
- Do not mutate production data or overwrite model artifacts without explicit user approval.
- Backtest evidence must include data range, assumptions, and limitations.
- Preserve risk-policy and paper-trading guardrails around predictions.
Evidence
- Dataset and feature paths inspected.
- Inference/backtest entrypoints identified.
- Advisory-only boundary preserved.
- Validation or backtest command proposed or run.
When not to use it
- →When the task involves mutating production data.
- →When the task involves overwriting model artifacts without explicit user approval.
Limitations
- →ML output remains advisory unless a future approved task changes the product boundary.
- →The skill avoids training/validation leakage.
- →The skill does not mutate production data or overwrite model artifacts without explicit user approval.
How it compares
This skill bundles ML utilities with explicit rules for risk-policy preservation and documentation of assumptions, unlike general ML script execution.
Compared to similar skills
ml-backtest-dataset side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| ml-backtest-dataset (this skill) | 0 | 2mo | No flags | Intermediate |
| llava | 7 | 8mo | Review | Advanced |
| cocoindex | 6 | 9mo | Review | Intermediate |
| ai-multimodal | 9 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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