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linear_calibration_ranking

Skill by VectorSpaceLab · updated · ★ 339

Score 58

Fit non-negative layer calibration weights for LPIPS-style distances using bounded 2AFC ranking feedback. linear_calibration_ranking is published by VectorSpaceLab on GitHub.

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Works withClaude CodeClaude apps Antigravity CLI

Install linear_calibration_ranking

Built from the published package, never by AI
git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill /tmp/AREX-Skill && mkdir -p ~/.claude/skills && cp -r /tmp/AREX-Skill/skills/task-oriented/PaperBench/skills/bridging-data-gaps/skill/lpips_perceptual_metric/linear_calibration_ranking ~/.claude/skills/linear-calibration-ranking

Run in your terminal. Claude Code loads skills from ~/.claude/skills automatically.

Step-by-step: install linear_calibration_ranking in Claude Code

Skills can run scripts on your machine. Some need an API key: check the README.

Maintenance

Last commit 51 days ago

Licence

Apache-2.0: permissive, fine for commercial use

Quality

Clear description, installs from GitHub, 339 stars, original repository

Security

Not checked yet. What we check

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Alternatives to linear_calibration_ranking

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linear_calibration_ranking: common questions

How do I install linear_calibration_ranking?

Run the command above to copy the skill into ~/.claude/skills/. Claude Code picks it up automatically.

Is linear_calibration_ranking free?

The code is published under the Apache-2.0 licence. The service it connects to may have its own pricing.

Is linear_calibration_ranking safe to use?

It scores 58 of 100. Grades: maintenance B, licence A, quality B. The security check has not run for it yet. Review the code before you install. How grades work.

What are alternatives to linear_calibration_ranking?

Similar skills: fp-types-ref, evernote, draft-release-notes, concise-planning.

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