.claude/skills/huawei-cloud-cce-metric-analyzer1 structural issue
- error: description exceeds the 1,024-character Agent Skills limit.
SKILL.md
Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Huawei Cloud CCE Metric analysis skill using the Python dispatcher with hcloud-backed cloud service queries. Use this skill when the user wants to: (1) query Pod/Node/CoreDNS/nginx-ingress/autoscaler/control-plane CPU, memory, disk, QPS, latency, request, connection, certificate, scaling, or error-rate metrics, (2) get resource usage TopN rankings, (3) query ECS/ELB/EIP/NAT cloud resource metrics, (4) aggregate cluster monitoring data with anomaly detection, (5) detect threshold-based resource anomalies. Trigger:…
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/huawei-cloud-cce-metric-analyzerSKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-cce-metric-analyzerSKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-cce-metric-analyzerSKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @huaweicloudskill/huawei-cloud-cce-metric-analyzerclawhub inspect @huaweicloudskill/huawei-cloud-cce-metric-analyzer --version 1.0.1This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:a40ffa026211e38093933cc0721d464e0accfd3bde6240bd1e3450dc6dff84a3references/acceptance-criteria.mdreferences/cli-installation-guide.mdreferences/iam-policies.mdreferences/kubectl-cce.mdreferences/output-schema.mdreferences/risk-rules.mdreferences/verification-method.mdreferences/workflow.mdscripts/huawei_cloud/__init__.pyscripts/huawei_cloud/aom.pyscripts/huawei_cloud/cce_cluster_monitoring.pyscripts/huawei_cloud/cce_metrics.pyscripts/huawei_cloud/cce.pyscripts/huawei_cloud/common.pyscripts/huawei_cloud/dispatcher.pyscripts/huawei_cloud/ecs.pyscripts/huawei_cloud/elb.pyscripts/huawei_cloud/kubectl_client.pyscripts/huawei_cloud/network.pyscripts/huawei-cloud.pyskill-card.mdskill-profile.yamlSKILL.md**Summary:** This update modernizes metric collection by switching from SDK-based to KooCLI (hcloud)-based cloud service queries, while adding deeper CCE observability features. - Replaced Huawei Cloud Python SDK calls with `hcloud` (KooCLI) CLI integration for all cloud resource queries; AOM Prometheus queries use signed HTTP requests. - Greatly expanded metric coverage: added CoreDNS, nginx-ingress, autoscaler, control-plane (apiserver, scheduler, controller-manager, etcd), GPU/xGPU, and certificate expiration metrics. - Limited `kubectl` usage to required resource mappings only (e.g., Pod labels, ingress certificate lookup) instead of for all queries. - Updated documentation to clarify runtime/environment requirements, supported metrics, KooCLI workflow, and explicit security boundaries. - Added new implementation and verification guides; numerous scripts and files refactored, new sc…