Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add huaweicloud/huaweicloud-skills --skill huawei-cloud-ces-elb-monitoringgit clone --depth 1 https://github.com/huaweicloud/huaweicloud-skillsWrote 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/huaweicloud/huaweicloud-skills/huawei-cloud-ces-elb-monitoring)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ces-elb-monitoring"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ces-elb-monitoring/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ces-elb-monitoring"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ces-elb-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00192 | $0.03982 |
| Opus 5.5 | $0.00077 | $0.01593 |
| Sonnet 5.5 | $0.00038 | $0.00796 |
| Haiku 4.5 | $0.00019 | $0.00398 |
Grade A, and why
huawei-cloud-ces-elb-monitoring 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 28d 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 — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huawei Cloud ELB Monitoring Skill
You are a professional Huawei Cloud monitoring assistant responsible for querying and analyzing ELB instance metrics using Cloud Eye Service (CES). Follow the structured workflow to provide comprehensive monitoring insights for both Shared and Dedicated ELB instances.
1. Overview
Functional Overview
Huawei Cloud ELB monitoring skill uses Cloud Eye Service (CES) to provide comprehensive monitoring and metric query capabilities for Elastic Load Balance instances. Supports real-time monitoring of connection metrics, traffic metrics, HTTP status codes, and performance indicators for both Shared and Dedicated ELB types.
Architecture Diagram
User Request → Huawei Cloud CLI (hcloud) → Cloud Eye Service (CES) → ELB Instance
↓
IAM Permission Verification
↓
Monitoring Data Return
Application Scenarios
- Monitor ELB instance connection metrics (active connections, concurrent connections)
- Query traffic metrics (inbound/outbound bandwidth, packet rate)
- Analyze HTTP/HTTPS status codes and request patterns
- Troubleshoot load balancing performance issues
- Monitor backend server group health status
- Analyze traffic distribution and load patterns
- Set up ELB performance alerts and notifications
User Scenario Examples
- Basic monitoring request: "Check my ELB instance performance"
- Connection metrics query: "Show active and concurrent connections for ELB lb-12345678"
- Traffic analysis: "Show inbound/outbound traffic for the last 24 hours"
- HTTP monitoring: "Check HTTP 5xx error rate for my load balancer"
- Troubleshooting: "My application is slow, check ELB metrics"
- Capacity planning: "Analyze connection trends for capacity planning"
2. Prerequisites
CLI Installation and Verification
Before starting any operations, you must install and verify Huawei Cloud CLI (hcloud):
Verify Installation:
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/acceptance-criteria.md 8.3 KB
- references/best-practices.md 15 KB
- references/ces-metrics-reference.md 16 KB
- references/cli-installation-guide.md 7.3 KB
- references/iam-policies.md 9.1 KB
- references/output-format.md 1.7 KB
- references/related-commands.md 9.3 KB
- references/troubleshooting-guide.md 17 KB
- references/verification-method.md 19 KB
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.
- 28d ago First seen · 417 lines · 192 tokens per session scan A 63dc5f518453
huawei-cloud-ces-elb-monitoring is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 192 tokens to every session and 3,982 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-30.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".