monitoring-analytics
Monitor Proxmox Performance and Capacity
Proxmox teams need a clear view of node and workload health. This skill guides Claude, Codex, and Claude Code through monitoring, bottleneck analysis, and capacity planning.
Install with my Agent
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Review the Skillstore skill "monitoring-analytics" from https://skillstore.io/skills/dataknifeai-monitoring-analytics.md and its manifest at https://skillstore.io/api/skills/dataknifeai-monitoring-analytics/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
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Test it
Using "monitoring-analytics". What is the current cluster health and performance?
Expected outcome:
- Cluster health is stable, with one node near sustained memory pressure.
- Two VMs show higher CPU usage than their baseline during business hours.
- Recommended next step: rebalance workloads from the busiest node.
Using "monitoring-analytics". Which nodes are running at high utilization?
Expected outcome:
- Node pve-02 has the highest memory usage and limited available headroom.
- Node pve-04 shows disk pressure that may affect backup windows.
- The remaining nodes have enough spare CPU for normal workload bursts.
Using "monitoring-analytics". Build a capacity planning summary for next quarter.
Expected outcome:
- Current growth suggests memory will be the first limiting resource.
- Storage usage needs review before adding large VM images.
- Plan one memory upgrade and review VM placement before expanding compute.
Security Audit
SafeAll static findings are false positives caused by Markdown inline code formatting for tool names in SKILL.md. No evidence found of command execution, data exfiltration, prompt injection, or malicious intent in the reviewed file.
Risk Factors
⚙️ External commands (14)
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APA citation
DataKnifeAI. (2026). monitoring-analytics security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dataknifeai-monitoring-analytics/audits/8BibTeX citation
@techreport{dataknifeai-dataknifeai-monitoring-analytics-2026,
author = {DataKnifeAI},
title = {monitoring-analytics security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/dataknifeai-monitoring-analytics/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "monitoring-analytics security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "DataKnifeAI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/dataknifeai-monitoring-analytics/audits/8"
identifiers:
- type: other
value: "skillstore:dataknifeai-monitoring-analytics:audit:8"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Daily Cluster Health Review
Check node and workload metrics before users report performance issues.
Capacity Budget Planning
Summarize utilization trends to justify hardware expansion or workload moves.
Incident Performance Triage
Find overloaded nodes, noisy VMs, and resource pressure during an incident.
Try These Prompts
Check current Proxmox cluster health. Summarize node status, workload pressure, and any urgent risks.
Analyze VM and container performance across the cluster. Highlight high CPU, memory, disk, and network usage.
Identify likely Proxmox performance bottlenecks. Compare node, VM, container, storage, and network indicators before recommending actions.
Create a capacity planning brief from current and historical Proxmox metrics. Include growth risks, upgrade priorities, and migration options.
Best Practices
- Review cluster, node, VM, and container metrics together before making changes.
- Compare current utilization with baselines and known peak periods.
- Document recommendations with metric evidence and expected operational impact.
Avoid
- Do not assume one high metric proves the root cause.
- Do not plan capacity from a single short observation window.
- Do not move workloads without checking storage and network constraints.
Frequently Asked Questions
What Proxmox tasks does this skill support?
Does it change my Proxmox configuration?
Can it analyze both VMs and containers?
Can it forecast future resource needs?
Which AI tools can use this skill?
What data access does it need?
Developer Details
Author
DataKnifeAILicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/DataKnifeAI/proxmox-ve-mcp/tree/main/.github/skills/monitoring-analyticsRef
34f316ba14ef36c7a620fc09f2676d2429997a77
Maintenance freshness
7/18/2026
Usage
6 downloads · 240 views
File structure
📄 SKILL.md