Skip to content
Back to skills

Autovp Tuning Benchmark

ASecurity

Select AutoVP candidate configurations and record benchmark-style accuracy targets for recovery runs.

  • 247 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added September 9, 2026
testing

Security analysis

A100/100

Scanned September 9, 2026

npx -y skills add VectorSpaceLab/AREX-Skill --skill autovp_tuning_benchmark --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Autovp Tuning Benchmark?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Autovp Tuning Benchmark
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/vectorspacelab-autovp-tuning-benchmark/badge)](https://www.skillsdirectory.com/skills/vectorspacelab-autovp-tuning-benchmark)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

SKILL.md
---
name: autovp_tuning_benchmark
description: Select AutoVP candidate configurations and record benchmark-style accuracy targets for recovery runs.
---
# AutoVP Tuning Benchmark
Use this skill when comparing AutoVP candidate configurations or writing benchmark result metadata. It should not claim full Table 2 reproduction for a reduced proxy.

## Inputs
Candidate configurations, early validation metrics, dataset name, metric name, and paper target.

## Outputs
Selected configuration and benchmark summary with proxy/full status.

## Workflow
Normalize records, sort by metric with deterministic tie-breaking, choose the best candidate, and emit dataset/metric/target metadata. Preserve module-plan target values exactly.

## Validation
Run included candidate-selection test.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…