benchmark-runner
SkillDev toolsRun performance benchmarks with criterion. Compare against baselines and profile hotspots.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the benchmark-runner skill
What this skill tells your AI
The instructions your AI receives, as published by nwiizo/ccswarm in .agents/skills/benchmark-runner/SKILL.md and read by ahel’s review.
Run performance benchmarks on ccswarm.
Run Benchmarks
cargo build --release --workspace
# All benchmarks
cargo bench --workspace
# Specific benchmark
cargo bench -- "$ARGUMENTS"
# Save baseline for comparison
cargo bench -- --save-baseline before
# ... make changes ...
cargo bench -- --baseline before
Profile
cargo flamegraph --bench ${1:-orchestrator_bench}
Key Metrics
| Area | Target |
|---|---|
| Task delegation | < 1ms |
| Full workflow | < 100ms |
| Memory per agent | < 10MB |
| Variance | < 20% |
Results in target/criterion/report/index.html.
Signals
- GitHub stars
- 151
- Forks
- 15
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
benchmark-runner- Source
- github.com/nwiizo/ccswarm