Kubestellar Console
sickn33/agentic-awesome-skills
Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills
An MCP server skill for managing Kubernetes sandboxes. An agent skill from kubernetes-sigs/agent-sandbox.
$ npx skills add kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kubernetes-sigs/agent-sandbox k8s-agent-sandbox-mcp --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/kubernetes-sigs/agent-sandbox.git skills-src && mkdir -p .claude/skills && cp -r skills-src/clients/integrations/mcp-server/skill .claude/skills/k8s-agent-sandbox-mcp && 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 "k8s-agent-sandbox-mcp" agent skill from https://github.com/kubernetes-sigs/agent-sandbox/tree/main/clients/integrations/mcp-server/skill into .claude/skills/k8s-agent-sandbox-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-agent-sandbox-mcp", 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/kubernetes-sigs/agent-sandbox/tree/main/clients/integrations/mcp-server/skillType 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 kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kubernetes-sigs/agent-sandbox k8s-agent-sandbox-mcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubernetes-sigs/agent-sandbox.git skills-src && mkdir -p .agents/skills && cp -r skills-src/clients/integrations/mcp-server/skill .agents/skills/k8s-agent-sandbox-mcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "k8s-agent-sandbox-mcp" agent skill from https://github.com/kubernetes-sigs/agent-sandbox/tree/main/clients/integrations/mcp-server/skill into .agents/skills/k8s-agent-sandbox-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-agent-sandbox-mcp", 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 kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kubernetes-sigs/agent-sandbox k8s-agent-sandbox-mcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubernetes-sigs/agent-sandbox.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/clients/integrations/mcp-server/skill .cursor/skills/k8s-agent-sandbox-mcp && 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 "k8s-agent-sandbox-mcp" agent skill from https://github.com/kubernetes-sigs/agent-sandbox/tree/main/clients/integrations/mcp-server/skill into .cursor/skills/k8s-agent-sandbox-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-agent-sandbox-mcp", 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/kubernetes-sigs/agent-sandbox.git --path clients/integrations/mcp-server/skill--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 kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kubernetes-sigs/agent-sandbox k8s-agent-sandbox-mcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubernetes-sigs/agent-sandbox.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/clients/integrations/mcp-server/skill .gemini/skills/k8s-agent-sandbox-mcp && 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 "k8s-agent-sandbox-mcp" agent skill from https://github.com/kubernetes-sigs/agent-sandbox/tree/main/clients/integrations/mcp-server/skill into .gemini/skills/k8s-agent-sandbox-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-agent-sandbox-mcp", 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 kubernetes-sigs/agent-sandbox k8s-agent-sandbox-mcpInstalls 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 kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kubernetes-sigs/agent-sandbox.git skills-src && mkdir -p .github/skills && cp -r skills-src/clients/integrations/mcp-server/skill .github/skills/k8s-agent-sandbox-mcp && 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 "k8s-agent-sandbox-mcp" agent skill from https://github.com/kubernetes-sigs/agent-sandbox/tree/main/clients/integrations/mcp-server/skill into .github/skills/k8s-agent-sandbox-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-agent-sandbox-mcp", 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 kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kubernetes-sigs/agent-sandbox k8s-agent-sandbox-mcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubernetes-sigs/agent-sandbox.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/clients/integrations/mcp-server/skill .opencode/skills/k8s-agent-sandbox-mcp && 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 "k8s-agent-sandbox-mcp" agent skill from https://github.com/kubernetes-sigs/agent-sandbox/tree/main/clients/integrations/mcp-server/skill into .opencode/skills/k8s-agent-sandbox-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-agent-sandbox-mcp", 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.
k8s-agent-sandbox-mcpAn MCP server skill for managing Kubernetes sandboxes. An agent skill from kubernetes-sigs/agent-sandbox.
K8s Agent Sandbox MCP is an agent skill from kubernetes-sigs/agent-sandbox, published by the product's own GitHub organization. An MCP server skill for managing Kubernetes sandboxes. Enables creating, executing commands, managing files, and terminating instances via the official kubernetes-sigs/agent-sandbox MCP server.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `mcp-config.json`).
It sits in DevOps & Cloud, covering Container orchestration and MCP servers. It works with Kubernetes and Model Context Protocol. The repository describes itself as: agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL). The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d9c1a2b. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
K8s Agent Sandbox MCP loads about 1.3k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 576 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); files beside SKILL.md are not scanned.
The full file from kubernetes-sigs/agent-sandbox at commit d9c1a2b, republished under its Apache-2.0 licence (© kubernetes-sigs). 576 words, ~1,338 tokens.
.claude/skills/k8s-agent-sandbox-mcp/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.⚠️ SECURITY WARNING: This MCP server does not have built-in authentication. It exposes tools that can create sandboxes, execute arbitrary commands, and read or write files using the permissions of its Kubernetes service account. Before proceeding, ensure that the server is strictly isolated on a private network or secured behind an authenticating proxy.
Use this skill when a task requires running code, executing untrusted scripts, or performing heavy parallel workloads in an isolated Kubernetes environment. This skill connects to the official kubernetes-sigs/agent-sandbox MCP server. It can be configured using mcp-config.json in this skill's directory.
Unlike basic shell execution, this sandbox is stateful.
When you create a sandbox, a persistent Kubernetes Pod is provisioned and identified by a sandbox_claim_name. You can run multiple sequential commands against the same sandbox_claim_name (e.g., install a package, then run a script). You must retain the sandbox_claim_name value in context for the lifetime of the task.
create_sandbox
warmpool (string), namespace (string), sandbox_ready_timeout (int, optional), labels (dict[string, string], optional), shutdown_after_seconds (int, optional, defaults to 300 — the sandbox self-deletes after 5 minutes unless raised), pod_labels (dict[string, string], optional), pod_annotations (dict[string, string], optional).sandbox_claim_name.execute_command
sandbox_claim_name (string), namespace (string), command (string — shell command or python inline script), timeout (int — seconds before the command times out, optional).stdout, stderr, and exit_code, or JSON with an error field.delete_sandbox
sandbox_claim_name (string), namespace (string).download_file
sandbox_claim_name (string), namespace (string), path (string), binary (bool, optional), timeout (int, optional).content and bytes_read fields.file_exists
sandbox_claim_name (string), namespace (string), path (string), timeout (int, optional).exists.get_sandbox_status
sandbox_claim_name (string), namespace (string).status, ready, and message.list_files
sandbox_claim_name (string), namespace (string), path (string), timeout (int, optional), max_entries (int, optional, default value is 1000, maximum is 10000).entries, total_entries, and truncated.max_entries entries are returned (1000 by default). When the directory holds more, the response is truncated and 'truncated' is True while 'total_entries' reports the full count.upload_file
sandbox_claim_name (string), namespace (string), path (string), content (string), binary (bool, optional), timeout (int, optional).bytes_written.ALWAYS follow this exact sequence when using the sandbox:
create_sandbox and store the returned sandbox_claim_name in your context.execute_command using the sandbox_claim_name as many times as needed to complete the task.delete_sandbox when the task is complete, even if previous steps failed. Do not leave orphaned sandboxes running in the cluster.(Do not write Python wrappers for this, use the provided MCP tools directly)
create_sandbox(warmpool="simple-sandbox-warmpool", namespace="default") → returns {"sandbox_claim_name": "sbx-12345"}execute_command(sandbox_claim_name="sbx-12345", namespace="default", command="pip install requests")execute_command(sandbox_claim_name="sbx-12345", namespace="default", command="python -c 'import requests; print(requests.get(\"https://example.com\").status_code)'")delete_sandbox(sandbox_claim_name="sbx-12345", namespace="default")© kubernetes-sigs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files in clients/integrations/mcp-server/skill of kubernetes-sigs/agent-sandbox.
Open the folder on GitHubat commit d9c1a2b
K8s Agent Sandbox MCP 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 |
|---|---|---|---|---|---|---|
| K8s Agent Sandbox MCP this skillkubernetes-sigs/agent-sandbox | 4.2k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Kubestellar Consolesickn33/agentic-awesome-skills | 47k | 1 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Google Cloud Solution Guided Gke AI Migrationgoogle/skills | 21k | — | ~8.3k | Automated safety check: Pass | Apache-2.0 | |
| Eks Best Practicesaws-samples/appmod-blueprints | 115 | — | ~5k | Automated safety check: Pass | MIT-0 | |
| Eks Cost Intelligenceaws-samples/appmod-blueprints | 115 | — | ~3.8k | Automated safety check: Warn | MIT-0 | |
| Devsydevsy-org/devsy | 113 | — | ~1.7k | Automated safety check: Pass | MPL-2.0 |
sickn33/agentic-awesome-skills
Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills
google/skills
Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl.
aws-samples/appmod-blueprints
Advisory guidance for Amazon EKS architecture and configuration decisions — compute strategy, networking, security, reliability, cost, autoscaling, observability, multi-tenancy, and upgrade planning.
aws-samples/appmod-blueprints
Run a live EKS cluster cost efficiency assessment — analyze spending across 6 dimensions (compute efficiency, Spot/Graviton adoption, networking, storage, observability, idle resources), calculate a…
devsy-org/devsy
Operate Devsy workspaces and providers for end users. An agent skill from devsy-org/devsy.
novotnyllc/dotnet-artisan
Debugs Windows and Linux/macOS applications (native, .NET/CLR, mixed-mode) with WinDbg MCP (crash dumps, !analyze, !syncblk, !dlk, !runaway, !dumpheap, !gcroot, BSOD), dotnet-dump, lldb with SOS…
kubernetes-sigs/agent-sandbox
Bumps the Go version to the latest release across go.mod, tools.mod, and Dockerfiles.
kubernetes-sigs/agent-sandbox
Diagnose and fix flaky tests tracked as open kind/flake issues in kubernetes-sigs/agent-sandbox — reproduce the flake, apply a minimal fix, and open a PR linking the issue.
kubernetes-sigs/agent-sandbox
Analyze the repo's unit and E2E tests and propose rebalancing toward a test pyramid — which E2E tests (or assertions inside them) can be covered by unit tests, which unit-level gaps genuinely need…
kubernetes-sigs/agent-sandbox
Guides the agent to follow Kubernetes API conventions for OSS standards.
kubernetes-sigs/agent-sandbox
Enforces project-specific development rules and conventions.
kubernetes-sigs/agent-sandbox
Triage open GitHub issues for kubernetes-sigs/agent-sandbox by mapping them to roadmap.md and assigning k8s priority labels + Kanban Priority (P0–P4) on Project
Works with
Categories
An MCP server skill for managing Kubernetes sandboxes. An agent skill from kubernetes-sigs/agent-sandbox. K8s Agent Sandbox MCP is an agent skill from kubernetes-sigs/agent-sandbox, published by the product's own GitHub organization. An MCP server skill for managing Kubernetes sandboxes.
K8s Agent Sandbox MCP fits situations like: tasks that involve Container orchestration; tasks that involve MCP servers.
Run `npx skills add kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a claude-code`. Or copy the skill folder (clients/integrations/mcp-server/skill in kubernetes-sigs/agent-sandbox) into .claude/skills/k8s-agent-sandbox-mcp in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a codex`. Or copy the skill folder (clients/integrations/mcp-server/skill in kubernetes-sigs/agent-sandbox) into .agents/skills/k8s-agent-sandbox-mcp 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 kubernetes-sigs/agent-sandbox --skill k8s-agent-sandbox-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/k8s-agent-sandbox-mcp, .gemini/skills/k8s-agent-sandbox-mcp, .github/skills/k8s-agent-sandbox-mcp and .opencode/skills/k8s-agent-sandbox-mcp in your project.
SKILL.md names no scripts, command-line tools or credentials: K8s Agent Sandbox MCP is instructions for the agent only. Our summary lists: Python 3.
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.
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.
K8s Agent Sandbox MCP is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.4k 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 K8s Agent Sandbox MCP: Kubestellar Console (sickn33/agentic-awesome-skills, 47k stars), Google Cloud Solution Guided Gke AI Migration (google/skills, 21k stars), Eks Best Practices (aws-samples/appmod-blueprints, 115 stars) and Eks Cost Intelligence (aws-samples/appmod-blueprints, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
kubernetes-sigs (a GitHub organization, an official publisher) maintains it in kubernetes-sigs/agent-sandbox, which has 4,210 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 9, 2026.
Source: kubernetes-sigs/agent-sandbox on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.