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⚙ Needs: an operation to optimize and a correctness gate to p…

Benchmark optimization loop: turn "make it faster" into a bounded measured loop

Baseline first, one-hypothesis variants, benchmark each against a correctness gate, promote the fastest safe variant

At a glance
What
Baseline first, one-hypothesis variants, benchmark each against a correctness gate, promote the fastest safe variant
Cost
Free
Needs
an operation to optimize and a correctness gate to protect; nothing else — the skill is a methodology, no accounts or keys required
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @affaan-m
⌁

Install

Prerequisites: an operation to optimize and a correctness gate to protect; nothing else — the skill is a methodology, no accounts or keys required Install "Benchmark optimization loop: turn "make it faster" into a bounded measured loop" for me. Give my agent @affaan-m's benchmark-optimization-loop: define the baseline, correctness gate, metric and search budget before optimizing; measure the baseline, generate one-hypothesis variants, run each against the same input shape, reject variants that fail correctness/safety/reproducibility, promote the fastest safe variant, codify the winner, and re-run baseline vs. winner to confirm the delta — with the variant table and promotion gate. Repository: https://github.com/affaan-m/ecc/blob/main/skills/benchmark-optimization-loop/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "benchmark-optimization-loop". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. nothing — it is a methodology; point it at a real operation with a correctness gate). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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Questions

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