Signoz
qjoly/GitOps
Manage the self-hosted SigNoz observability stack in this GitOps repo.
Deploys KubeEye on KubeSphere and writes InspectRule and InspectPlan resources to inspect cluster health, then retrieves the inspection reports.
$ npx skills add kubesphere/kubesphere --skill kubeeye -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kubesphere/kubesphere kubeeye --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/kubesphere/kubesphere.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kubeeye .claude/skills/kubeeye && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kubeeye" agent skill from https://github.com/kubesphere/kubesphere/tree/master/skills/kubeeye into .claude/skills/kubeeye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kubeeye", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/kubesphere/kubesphere/tree/master/skills/kubeeyeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add kubesphere/kubesphere --skill kubeeye -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kubesphere/kubesphere kubeeye --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubesphere/kubesphere.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kubeeye .agents/skills/kubeeye && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kubeeye" agent skill from https://github.com/kubesphere/kubesphere/tree/master/skills/kubeeye into .agents/skills/kubeeye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kubeeye", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kubesphere/kubesphere --skill kubeeye -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kubesphere/kubesphere kubeeye --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubesphere/kubesphere.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kubeeye .cursor/skills/kubeeye && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kubeeye" agent skill from https://github.com/kubesphere/kubesphere/tree/master/skills/kubeeye into .cursor/skills/kubeeye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kubeeye", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/kubesphere/kubesphere.git --path skills/kubeeye--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add kubesphere/kubesphere --skill kubeeye -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kubesphere/kubesphere kubeeye --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubesphere/kubesphere.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kubeeye .gemini/skills/kubeeye && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kubeeye" agent skill from https://github.com/kubesphere/kubesphere/tree/master/skills/kubeeye into .gemini/skills/kubeeye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kubeeye", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install kubesphere/kubesphere kubeeyeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add kubesphere/kubesphere --skill kubeeye -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kubesphere/kubesphere.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kubeeye .github/skills/kubeeye && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kubeeye" agent skill from https://github.com/kubesphere/kubesphere/tree/master/skills/kubeeye into .github/skills/kubeeye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kubeeye", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kubesphere/kubesphere --skill kubeeye -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kubesphere/kubesphere kubeeye --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubesphere/kubesphere.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kubeeye .opencode/skills/kubeeye && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kubeeye" agent skill from https://github.com/kubesphere/kubesphere/tree/master/skills/kubeeye into .opencode/skills/kubeeye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kubeeye", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
kubeeyeDeploys KubeEye on KubeSphere and writes InspectRule and InspectPlan resources to inspect cluster health, then retrieves the inspection reports.
KubeEye is a cluster inspection tool installed as a KubeSphere extension through an InstallPlan. It looks for problems in workloads, nodes, configuration and components using OPA and Rego policies, PromQL queries, file integrity checks, kernel parameter checks and systemd health checks. The skill first checks whether the extension version is published and whether an InstallPlan already exists, in which case it upgrades instead.
Four custom resources carry the work: InspectRule defines checks, InspectPlan schedules them as cron or one-shot runs, InspectTask tracks each run and InspectResult stores findings. Rule types covered are OPA, PromQL, FileChange, Sysctl, Systemd, NodeInfo, FileFilter, ServiceConnect and CustomCommand, with sample rule files in the bundle and a `check-status.sh` script.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 04a29b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
kubectlcurlFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use kubectl and curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires kubectl and a KubeSphere cluster with the kubeeye extension published in the marketplace.
From compatibility in the SKILL.md frontmatter.
KubeEye Cluster Inspection loads about 3.6k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 582 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 582 words (~3,565 tokens).
“KubeEye is a Kubernetes cluster inspection tool for KubeSphere. It detects issues in workloads, nodes, configurations, and components through OPA/Rego policies, PromQL queries, file integrity checks, kernel parameter validation, and systemd health checks. It is installed as a KubeSphere extension.”
SKILL.md and 21 other files (scripts) in skills/kubeeye of kubesphere/kubesphere.
Open the folder on GitHubat commit 04a29b5
KubeEye Cluster Inspection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| KubeEye Cluster Inspection this skillkubesphere/kubesphere | 17k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Signozqjoly/GitOps | 112 | — | ~6.1k | Automated safety check: Pass | WTFPL | |
| Grafana Dashboardpando85/kaniop | 130 | — | ~987 | Automated safety check: Pass | AGPL-3.0 | |
| Alloygrafana/skills | 279 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Beylagrafana/skills | 279 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Fleet Managementgrafana/skills | 279 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
qjoly/GitOps
Manage the self-hosted SigNoz observability stack in this GitOps repo.
pando85/kaniop
Improve and validate the Kaniop Grafana dashboard against repository metrics and the grigri live cluster.
grafana/skills
Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo /…
grafana/skills
Auto-instrument an application's HTTP / gRPC / DB traffic with Grafana Beyla eBPF — no code changes, no SDK, no restart.
grafana/skills
Manage a fleet of Grafana Alloy collectors with Fleet Management — author Alloy pipelines once, target them via attribute matchers (env="production", regex region=~"us-."), push remotely via OpAMP…
grafana/skills
Stand up Grafana Mimir for horizontally scalable, multi-tenant, long-term Prometheus + OTLP metrics storage.
kubesphere/kubesphere
Creates and queries KubeSphere users, workspaces and projects and assigns built-in roles, defaulting to least privilege and never deleting anything.
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
kubesphere/kubesphere
Queries, creates, updates, binds and troubleshoots NodeGroup resources in the edgewize nodegroup project through a bundled authenticated API script.
kubesphere/kubesphere
Installs and configures the WizTelemetry Platform Service extension for KubeSphere, the shared API server behind its observability extensions.
kubesphere/kubesphere
Runs the lifecycle of FrontendExtension resources in a Kubernetes cluster: create, rebuild, package, publish, unpublish, delete and debug stuck states.
kubesphere/kubesphere
Operates FrontendIntegration resources and the frontend-forge extension with kubectl: create from YAML, update, enable, disable, delete, inspect and troubleshoot builds.
Works with
Categories
Deploys KubeEye on KubeSphere and writes InspectRule and InspectPlan resources to inspect cluster health, then retrieves the inspection reports. KubeEye is a cluster inspection tool installed as a KubeSphere extension through an InstallPlan. It looks for problems in workloads, nodes, configuration and components using OPA and Rego policies, PromQL queries, file integrity checks, kernel parameter checks and systemd health checks.
KubeEye Cluster Inspection fits situations like: installing the KubeEye extension on a KubeSphere cluster; writing an InspectRule that checks pods, nodes or kernel settings; scheduling recurring or one-time cluster inspections; finding and downloading the report from an inspection run.
Run `npx skills add kubesphere/kubesphere --skill kubeeye -a claude-code`. Or copy the skill folder (skills/kubeeye in kubesphere/kubesphere) into .claude/skills/kubeeye in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kubesphere/kubesphere --skill kubeeye -a codex`. Or copy the skill folder (skills/kubeeye in kubesphere/kubesphere) into .agents/skills/kubeeye in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kubesphere/kubesphere --skill kubeeye -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kubeeye, .gemini/skills/kubeeye, .github/skills/kubeeye and .opencode/skills/kubeeye in your project.
Going by SKILL.md and its folder, KubeEye Cluster Inspection needs a shell for the scripts in its folder and the command-line tools its instructions call (kubectl and curl). Our summary lists: kubectl; A KubeSphere cluster with the kubeeye extension published in the marketplace. Compatibility (from SKILL.md): Requires kubectl and a KubeSphere cluster with the kubeeye extension published in the marketplace..
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
KubeEye Cluster Inspection has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with KubeEye Cluster Inspection: Signoz (qjoly/GitOps, 112 stars), Grafana Dashboard (pando85/kaniop, 130 stars), Alloy (grafana/skills, 279 stars) and Beyla (grafana/skills, 279 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
kubesphere (a GitHub organization) maintains it in kubesphere/kubesphere, which has 17,060 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on July 15, 2026.
Source: kubesphere/kubesphere on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.