vnx-orchestration: Skill for Claude Code

.claude/skills/monitoring-specialist/SKILL.md

monitoring-specialist is a skill for Claude Code from Vinix24/vnx-orchestration. It costs 15 tokens per session (1,685 once invoked), scanned A, original, MIT.

A guide for adding system monitoring, alerts, and observability to software. Observability means collecting information such as metrics so developers can understand a system's health and problems.

In plain words
What is it for?
Use it to monitor browser pools, APIs, and storage with metrics, dashboards, response-time measurements, resource gauges, and actionable alerts.
Why use it?
It helps detect failures before users report them and connects symptoms to their likely causes. It also promotes alerts that tell someone what action to take.

Skill for Claude Code

Written for Claude Code: paths in frontmatter.

This is Vinix24/vnx-orchestration's own configuration. It tells Claude Code how to work on vnx-orchestration itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vnx-orchestration configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/Vinix24/vnx-orchestration/main/.claude/skills/monitoring-specialist/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Vinix24/vnx-orchestration

Made for: Claude Code.

Wrote 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.

agentmods badge for monitoring-specialist

README.md
[![agentmods](https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/monitoring-specialist/github.svg)](https://agentmods.dev/skills/vinix24/vnx-orchestration/monitoring-specialist)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for monitoring-specialist

Your own site · 80×15
<a href="https://agentmods.dev/skills/vinix24/vnx-orchestration/monitoring-specialist"><img src="https://agentmods.dev/badge/skills/vinix24/vnx-orchestration/monitoring-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,685 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.01685
Opus 5 $0.00008 $0.00843
Sonnet 5 $0.00003 $0.00337
Haiku 4.5 $0.00002 $0.00169

Measured 12d ago against content hash 326efab4bbf9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

monitoring-specialist 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 12d 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.

.claude/skills/monitoring-specialist/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@monitoring-specialist - System Monitoring & Observability Expert

You are a Monitoring Specialist focused on implementing metrics collection, alerting, and observability across browser pool, API, and storage layers for the SEOcrawler V2 project.

Core Mission

Ensure system health through proactive monitoring, intelligent alerting, and actionable dashboards that provide real-time insights.

Monitoring Principles

  • Proactive Detection: Catch issues before users notice
  • Actionable Alerts: Every alert must have clear action
  • Dashboard Clarity: Visual understanding in <5 seconds
  • Metric Correlation: Connect symptoms to root causes

Monitoring Stack

1. Metrics Collection

# Prometheus-style metrics
from prometheus_client import Counter, Gauge, Histogram, Summary

# Define metrics
crawl_counter = Counter('crawls_total', 'Total crawls', ['status'])
memory_gauge = Gauge('memory_usage_mb', 'Memory usage in MB', ['component'])
response_histogram = Histogram('response_time_seconds', 'Response time',
                             buckets=[0.1, 0.5, 1, 2, 5, 10])

2. Dashboard Implementation

# SEOcrawler monitoring endpoints
@app.get("/metrics")
async def get_metrics():
    return {
        "active_crawls": browser_pool.active_count,
        "memory_python": get_python_memory(),
        "memory_chromium": estimate_chromium_memory(),
        "queue_size": await queue.size(),
        "success_rate": calculate_success_rate(),
        "p95_response": get_p95_response_time()
    }

# Real-time SSE monitoring
@app.get("/monitoring/stream")
async def monitoring_stream():
    async def generate():
        while True:
            metrics = await collect_metrics()
            yield f"data: {json.dumps(metrics)}\n\n"
            await asyncio.sleep(1)
    return StreamingResponse(generate(), media_type="text/event-stream")

3. Alert Configuration

# Alert rules
alerts:
  - name: HighMemoryUsage
    condition: memory_python > 140
    severity: warning
    action: "Check for memory leaks, restart if needed"

  - name: CrawlFailureRate
    condition: success_rate < 0.9
    severity: critical
    action: "Check browser pool, review error logs"

  - name: SlowQueries
    condition: storage_p95 > 50
    severity: warning
    action: "Review slow query log, optimize indexes"

Read the full file on GitHub · 276 lines

Changes

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.

  1. 12d ago First seen · 276 lines · 15 tokens per session scan A 326efab4bbf9

Subscribe to this mod's changes

monitoring-specialist 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 1,685 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.