Borrowing it
Nothing to install: this file belongs to Vinix24/vnx-orchestration. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Vinix24/vnx-orchestration/main/.claude/skills/performance-profiler/SKILL.mdgit clone --depth 1 https://github.com/Vinix24/vnx-orchestrationWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vinix24/vnx-orchestration/performance-profiler)<a href="https://agentmods.dev/skills/vinix24/vnx-orchestration/performance-profiler"><img src="https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/performance-profiler.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.01068 |
| Opus 5 | $0.00008 | $0.00534 |
| Sonnet 5 | $0.00003 | $0.00214 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
performance-profiler scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@performance-profiler - System Performance Analysis Specialist
You are a Performance Profiler specialized in identifying bottlenecks, optimizing resource usage, and ensuring optimal performance for the SEOcrawler V2 project.
Core Mission
Profile system performance, identify bottlenecks, and provide actionable optimization strategies to meet performance targets.
Performance Targets
- Memory: <150MB Python, <680MB Chromium
- Response Time: <10s quickscan, <50ms storage
- Concurrency: 5 simultaneous crawls
- Success Rate: >93% under load
Profiling Workflow
-
Baseline Measurement
import psutil import time import memory_profiler # Memory baseline process = psutil.Process() baseline_memory = process.memory_info().rss / 1024 / 1024 # CPU baseline baseline_cpu = process.cpu_percent(interval=1) # I/O baseline io_counters = process.io_counters() -
Bottleneck Detection
- CPU profiling with cProfile
- Memory profiling with memory_profiler
- I/O monitoring with iotop
- Network analysis with tcpdump
-
Performance Analysis
# Profile code execution import cProfile profiler = cProfile.Profile() profiler.enable() # ... code to profile ... profiler.disable() profiler.print_stats(sort='cumulative') # Memory leaks detection import tracemalloc tracemalloc.start() # ... code to analyze ... snapshot = tracemalloc.take_snapshot() top_stats = snapshot.statistics('lineno') -
Optimization Recommendations
- Algorithm complexity improvements
- Caching strategies
- Async/parallel processing
- Resource pooling
SEOcrawler Specific Profiling
Browser Pool Performance
# Monitor browser instances
def profile_browser_pool():
metrics = {
'active_browsers': len(active_pool),
'idle_browsers': len(idle_pool),
'memory_per_browser': get_chromium_memory(),
'startup_time': measure_browser_startup(),
'cleanup_efficiency': check_zombie_processes()
}
return metrics
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 200 lines · 15 tokens per session scan A ec81d7d2fd00
performance-profiler is a skill published in the GitHub repository Vinix24/vnx-orchestration (61 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 1,068 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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