KubeEye Cluster Inspection
kubesphere/kubesphere
Deploys KubeEye on KubeSphere and writes InspectRule and InspectPlan resources to inspect cluster health, then retrieves the inspection reports.
“检查 Prometheus 数据源的连通性、数据延迟和指标采集健康度。”
Install Datasource Check
$ npx skills add kubehan/PromAI --skill datasource-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kubehan/PromAI datasource-check --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/kubehan/PromAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/datasource-check .claude/skills/datasource-check && 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 "datasource-check" agent skill from https://github.com/kubehan/PromAI/tree/main/skills/datasource-check into .claude/skills/datasource-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasource-check", 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/kubehan/PromAI/tree/main/skills/datasource-checkType 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 kubehan/PromAI --skill datasource-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kubehan/PromAI datasource-check --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubehan/PromAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/datasource-check .agents/skills/datasource-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "datasource-check" agent skill from https://github.com/kubehan/PromAI/tree/main/skills/datasource-check into .agents/skills/datasource-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasource-check", 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 kubehan/PromAI --skill datasource-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kubehan/PromAI datasource-check --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubehan/PromAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/datasource-check .cursor/skills/datasource-check && 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 "datasource-check" agent skill from https://github.com/kubehan/PromAI/tree/main/skills/datasource-check into .cursor/skills/datasource-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasource-check", 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/kubehan/PromAI.git --path skills/datasource-check--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 kubehan/PromAI --skill datasource-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kubehan/PromAI datasource-check --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubehan/PromAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/datasource-check .gemini/skills/datasource-check && 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 "datasource-check" agent skill from https://github.com/kubehan/PromAI/tree/main/skills/datasource-check into .gemini/skills/datasource-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasource-check", 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 kubehan/PromAI datasource-checkInstalls 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 kubehan/PromAI --skill datasource-check -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kubehan/PromAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/datasource-check .github/skills/datasource-check && 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 "datasource-check" agent skill from https://github.com/kubehan/PromAI/tree/main/skills/datasource-check into .github/skills/datasource-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasource-check", 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 kubehan/PromAI --skill datasource-check -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kubehan/PromAI datasource-check --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubehan/PromAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/datasource-check .opencode/skills/datasource-check && 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 "datasource-check" agent skill from https://github.com/kubehan/PromAI/tree/main/skills/datasource-check into .opencode/skills/datasource-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasource-check", 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.
Facts
- Skill name
datasource-check- GitHub stars
- 125
- Token cost
- ~229 tokens
- SKILL.md length
- 51 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- None found
At a glance
- Works in 5 steps: 列出数据源 → 检查数据源可用性 → 检查数据延迟 → …
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
About this skill
Datasource Check is a skill in kubehan/PromAI (125 stars). Its SKILL.md is about 229 tokens. No licence found.
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- 列出数据源
- 检查数据源可用性
- 检查数据延迟
- 检查 target 状态
- 结果汇总
What it can do on your machine
Read from SKILL.md and the folder at commit fd7c8bc. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are promql).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Datasource Check loads about 229 tokens when it runs. Until then it costs about 13 tokens; SKILL.md has 51 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 51 words (~229 tokens).
- name
- datasource-check
- user-invocable
- true
- x-enabled
- true
Files
Just SKILL.md in skills/datasource-check of kubehan/PromAI.
Open the folder on GitHubat commit fd7c8bc
Compare with similar skills
Datasource Check 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 |
|---|---|---|---|---|---|---|
| Datasource Check this skillkubehan/PromAI | 125 | — | ~229 | Automated safety check: Pass | None | |
| KubeEye Cluster Inspectionkubesphere/kubesphere | 17k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Happy Infra Metrics and Grafanaslopus/happy | 24k | — | ~2k | Automated safety check: Notes | MIT | |
| Syncmetapawurb/hotpath-rs | 1.9k | — | ~1.2k | Automated safety check: Notes | MIT | |
| WizTelemetry Platform Servicekubesphere/kubesphere | 17k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Collectors Prometheus Profilesnetdata/netdata | 81k | — | ~4.7k | Automated safety check: Pass | GPL-3.0 |
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Disk Check
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检查磁盘使用率并给出处理建议 — 综合 metrics 查询和 exec 脚本两种方式. An agent skill from kubehan/PromAI.
Alert Root Cause
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对活跃告警进行根因分析，关联指标和巡检记录。
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触发巡检任务并推送报告到通知渠道。
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Related
Works with
Categories
Questions about Datasource Check
How do I install Datasource Check in Claude Code?
Run `npx skills add kubehan/PromAI --skill datasource-check -a claude-code`. Or copy the skill folder (skills/datasource-check in kubehan/PromAI) into .claude/skills/datasource-check in your project. Claude Code loads it when a task matches its description.
How do I install Datasource Check in Codex?
Run `npx skills add kubehan/PromAI --skill datasource-check -a codex`. Or copy the skill folder (skills/datasource-check in kubehan/PromAI) into .agents/skills/datasource-check in your project. Codex loads it when a task matches its description.
Can I use Datasource Check in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kubehan/PromAI --skill datasource-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datasource-check, .gemini/skills/datasource-check, .github/skills/datasource-check and .opencode/skills/datasource-check in your project.
What does Datasource Check need to run?
SKILL.md names no scripts, command-line tools or credentials: Datasource Check is instructions for the agent only.
Does Datasource Check access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Datasource Check safe to install?
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. Review the folder before installing.
What licence does Datasource Check use?
No licence was found for Datasource Check or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Datasource Check use?
About 229 tokens (SKILL.md is roughly 916 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Datasource Check?
Skills that share tags, products or a category with Datasource Check: KubeEye Cluster Inspection (kubesphere/kubesphere, 17k stars), Happy Infra Metrics and Grafana (slopus/happy, 24k stars), Syncmeta (pawurb/hotpath-rs, 1.9k stars) and WizTelemetry Platform Service (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Datasource Check?
kubehan (a GitHub user) maintains it in kubehan/PromAI, which has 125 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 18, 2026.
Source: kubehan/PromAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.