Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
avifenesh avatar

Perf Benchmarker

  • 2 installs
  • 931 repo stars
  • Updated July 26, 2026
  • avifenesh/awesome-slash

perf-benchmarker is a skill that runs sequential performance benchmarks with strict duration rules to establish baselines and validate regressions.

About

This skill runs sequential performance benchmarks under strict duration rules to establish baselines and validate regressions. A developer uses it when they need reliable, non-parallel benchmark measurements. It enforces a 60 second minimum run, a 10 second warmup, re-running of anomalies, and emits metrics as a JSON block between markers.

  • Runs sequential performance benchmarks with strict duration rules
  • Enforces a 60s minimum run (30s only for binary search) and 10s warmup
  • Emits a JSON metrics block between PERF_METRICS markers

Perf Benchmarker by the numbers

  • 2 all-time installs (skills.sh)
  • Ranked #464 of 596 Debugging skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

perf-benchmarker capabilities & compatibility

Capabilities
benchmarking · regression detection · baseline management
Use cases
testing · debugging
From the docs

What perf-benchmarker says it does

Benchmarks MUST run sequentially (never parallel).
SKILL.md
Minimum duration: 60s per run (30s only for binary search).
SKILL.md
Do not change code while benchmarking.
SKILL.md
npx skills add https://github.com/avifenesh/awesome-slash --skill perf-benchmarker

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs2
repo stars931
Last updatedJuly 26, 2026
Repositoryavifenesh/awesome-slash

What it does

Run sequential performance benchmarks with a 60s minimum and 10s warmup to establish baselines or validate regressions.

Who is it for?

Developers who need statistically sound benchmark runs that avoid parallel-execution noise.

Skip if: Quick, casual timing checks or profiling of specific hot paths.

When should I use this skill?

You are running performance benchmarks, establishing baselines, or validating regressions with sequential runs.

What you get

Reliable sequential benchmark metrics emitted as a structured JSON block for downstream analysis.

  • benchmark metrics JSON
  • warmup and run summary

By the numbers

  • 60s minimum run duration
  • 10s minimum warmup
  • 30s runs only for binary search

Files

SKILL.mdMarkdownGitHub ↗

perf-benchmarker

Run sequential benchmarks with strict duration rules.

Follow docs/perf-requirements.md as the canonical contract.

Parse Arguments

const args = '$ARGUMENTS'.split(' ').filter(Boolean);
const command = args.find(a => !a.match(/^\d+$/)) || '';
const duration = parseInt(args.find(a => a.match(/^\d+$/)) || '60', 10);

Required Rules

  • Benchmarks MUST run sequentially (never parallel).
  • Minimum duration: 60s per run (30s only for binary search).
  • Warmup: 10s minimum before measurement.
  • Re-run anomalies.

Output Format

command: <benchmark command>
duration: <seconds>
warmup: <seconds>
results: <metrics summary>
notes: <anomalies or reruns>

Output Contract

Benchmarks MUST emit a JSON metrics block between markers:

PERF_METRICS_START
{"scenarios":{"low":{"latency_ms":120},"high":{"latency_ms":450}}}
PERF_METRICS_END

Constraints

  • No short runs unless binary-search phase.
  • Do not change code while benchmarking.

Related skills

FAQ

Can benchmarks run in parallel?

No, the skill requires benchmarks to run sequentially and never in parallel.

What is the minimum run duration?

60 seconds per run, with 30 seconds allowed only during the binary-search phase, plus a 10 second warmup.

Debuggingbackendtesting

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.