agent-performance-benchmarker
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
31
0%
Does it follow best practices?
Impact
81%
2.89xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agents/skills/agent-performance-benchmarker/SKILL.mdEvaluation results
87%
48%Throughput Benchmarking Module for Consensus Protocol
Throughput measurement defaults and adaptive rate control
Default duration
0%
100%
Default initial rate
100%
100%
Default pattern and rampUp
0%
25%
Measurement interval
100%
100%
Rate increment value
0%
100%
Rate increase threshold
80%
100%
Rate decrease threshold
30%
100%
Optimal throughput definition
83%
100%
Sustainable throughput definition
0%
100%
Per-measurement latency fields
0%
100%
Throughput degradation flag
0%
0%
95%
60%Latency Profiler for Distributed Consensus Transactions
Latency phase analysis and percentile reporting
Warmup performed
100%
100%
Default warmup size
0%
100%
Default sample size
0%
100%
Three latency phases
0%
100%
Total latency as sum of phases
0%
100%
Percentile set
66%
100%
Outlier identification
0%
100%
Phase contributionPercent
100%
100%
Per-phase percentile fields
50%
100%
Successful measurements only
0%
100%
Latency tail detection
20%
50%
63%
53%Adaptive Parameter Optimizer for Consensus Protocol Benchmarks
Adaptive optimizer bottleneck thresholds and protocol-specific tuning
Sort by confidence x improvement
0%
30%
30-second observation wait
0%
100%
Revert threshold
0%
100%
Confidence filter
30%
100%
Raft: max_batch_size recommendation
40%
100%
Byzantine: request_pipelining recommendation
30%
100%
CPU bottleneck threshold
0%
0%
Memory bottleneck threshold
0%
0%
Network bottleneck threshold
0%
0%
Throughput degradation detection
0%
100%
- Repository
- ruvnet/ruflo
- Commit
398f7c2
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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