Dstack Presets
dstackai/dstack
Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.
Run vet immediately after ANY logical unit of code changes. An agent skill from atilladeniz/Kubeli.
$ npx skills add atilladeniz/Kubeli --skill vet -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install atilladeniz/Kubeli vet --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/atilladeniz/Kubeli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/vet .claude/skills/vet && 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 "vet" agent skill from https://github.com/atilladeniz/Kubeli/tree/main/.claude/skills/vet into .claude/skills/vet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vet", 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/atilladeniz/Kubeli/tree/main/.claude/skills/vetType 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 atilladeniz/Kubeli --skill vet -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install atilladeniz/Kubeli vet --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilladeniz/Kubeli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/vet .agents/skills/vet && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vet" agent skill from https://github.com/atilladeniz/Kubeli/tree/main/.claude/skills/vet into .agents/skills/vet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vet", 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 atilladeniz/Kubeli --skill vet -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install atilladeniz/Kubeli vet --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilladeniz/Kubeli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/vet .cursor/skills/vet && 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 "vet" agent skill from https://github.com/atilladeniz/Kubeli/tree/main/.claude/skills/vet into .cursor/skills/vet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vet", 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/atilladeniz/Kubeli.git --path .claude/skills/vet--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 atilladeniz/Kubeli --skill vet -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install atilladeniz/Kubeli vet --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilladeniz/Kubeli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/vet .gemini/skills/vet && 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 "vet" agent skill from https://github.com/atilladeniz/Kubeli/tree/main/.claude/skills/vet into .gemini/skills/vet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vet", 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 atilladeniz/Kubeli vetInstalls 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 atilladeniz/Kubeli --skill vet -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/atilladeniz/Kubeli.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/vet .github/skills/vet && 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 "vet" agent skill from https://github.com/atilladeniz/Kubeli/tree/main/.claude/skills/vet into .github/skills/vet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vet", 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 atilladeniz/Kubeli --skill vet -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install atilladeniz/Kubeli vet --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atilladeniz/Kubeli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/vet .opencode/skills/vet && 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 "vet" agent skill from https://github.com/atilladeniz/Kubeli/tree/main/.claude/skills/vet into .opencode/skills/vet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vet", 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.
vetRun vet immediately after ANY logical unit of code changes. An agent skill from atilladeniz/Kubeli.
Vet is an agent skill from atilladeniz/Kubeli. Run vet immediately after ANY logical unit of code changes. Do not batch your changes, do not wait to be asked to run vet, make sure you are proactive.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/export_claude_code_session.py`, `scripts/export_codex_session.py` and `scripts/export_opencode_session.py`).
It sits in DevOps & Cloud, covering Container orchestration. It works with Kubernetes and Python. The repository describes itself as: A modern Kubernetes GUI management desktop app for macOS & Windows. Multi-cluster support, real-time monitoring, AI assistant, terminal access, and more. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 444659b. 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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pippipxuvopencodeFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom 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.
Vet loads about 1.6k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 817 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.
The full file from atilladeniz/Kubeli at commit 444659b, republished under its MIT licence (© atilladeniz). 817 words, ~1,603 tokens.
.claude/skills/vet/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Run vet immediately after ANY logical unit of code changes. Do not batch changes, do not wait to be asked to run vet, make sure you are proactive.
Vet reviews git diffs and conversation history to find issues in code changes and conversation history. It is most effective when run frequently with conversation history, which helps it catch misunderstandings between what was requested and what was implemented. Despite this, vet is not a replacement for running tests.
Install vet using pip, pipx, or uv:
# Using pip
pip install verify-everything
# Using pipx
pipx install verify-everything
# Using uv
uv tool install verify-everything
# Verify installation:
vet --helpBefore running vet, determine the correct Python binary:
$(command -v python3 || command -v python)Use whichever resolves (prefer python3). The examples below use python3, substitute python if that is what your system provides.
OpenCode:
vet "goal" --history-loader "python3 ~/.agents/skills/vet/scripts/export_opencode_session.py --session-id <ses_ID>"Codex:
vet "goal" --history-loader "python3 ~/.codex/skills/vet/scripts/export_codex_session.py --session-file <path-to-session.jsonl>"Claude Code:
vet "goal" --history-loader "python3 ~/.claude/skills/vet/scripts/export_claude_code_session.py --session-file <path-to-session.jsonl>"Without Conversation History
vet "goal"You should only search for sessions from your coding harness. If a user requests you use a different harness, they are likely referring to vet's agentic mode, not the session.
OpenCode: The --session-id argument requires a ses_... session ID. To find the current session ID:
opencode session list --format json to list recent sessions with their IDs and titles.--session-id.Codex: Session files are stored in ~/.codex/sessions/YYYY/MM/DD/. To find the correct session file:
grep -rl "UNIQUE_MESSAGE" ~/.codex/sessions/ to find the matching session file.--session-file.Claude Code: Session files are stored in ~/.claude/projects/<encoded-path>/. The encoded path replaces / with - (e.g. /home/user/myproject becomes -home-user-myproject). To find the correct session file:
grep -rl "UNIQUE_MESSAGE" ~/.claude/projects/ to find the matching session file.--session-file.NOTE: The examples in the standard usage section assume the user installed the vet skill at the user level, not the project level. Prior to trying to run vet, check if it was installed at the project level which should take precedence over the user level. If it is installed at the project level, ensure the history-loader option points to the correct location.
Vet analyzes the full git diff from the base commit. This may include changes from other agents or sessions working in the same repository. If vet reports issues that relate to changes you did not make in this session, disregard them, assuming they belong to another agent or the user.
--base-commit REF: Git ref for diff base (default: HEAD)--model MODEL: LLM to use (default: claude-opus-4-6)--list-models: list all models that are supported by vetvet --help and look at the vet repo's readme for details about defining custom OpenAI-compatible models.--update-models: fetch the latest community model definitions from the remote registry and cache them locally. See "Updating the Model Registry" below for when to run this.--confidence-threshold N: Minimum confidence 0.0-1.0 (default: 0.8)--output-format FORMAT: Output as text, json, or github--quiet: Suppress status messages and 'No issues found.'--agentic: Mode that routes analysis through the locally installed Claude Code or Codex CLI instead of calling the API directly. Try this if vet fails due to missing API keys. This is slower so it is not the default, but it often results in higher precision issue identification. --model is forwarded to the harness but not validated by vet, as vet doesn't know which models each harness supports.--agent-harness: The two options for this are codex and claude. Claude Code is the default.--help: Show comprehensive list of optionsThe vet CLI, skill files, and export scripts can become outdated as agent harnesses and LLM APIs change.
If this happens, try updating them. Run which vet to determine how vet was installed and update accordingly. For the skill files, check which skill directories exist on disk and update them with the latest versions from https://github.com/imbue-ai/vet/tree/main/skills/vet.
Run vet --update-models to fetch the latest community model definitions from the remote registry without upgrading vet itself. This caches model definitions locally so they appear in --list-models and can be used with --model.
You should run vet --update-models when:
vet --list-models does not show a model you or the user expects to be available.Additional information can be found in the vet repo:
© atilladeniz, MIT. 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 3 other files (scripts) in .claude/skills/vet of atilladeniz/Kubeli.
Open the folder on GitHubat commit 444659b
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in atilladeniz/Kubeli, which our catalogue first saw on October 7, 2026.
Vet 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 |
|---|---|---|---|---|---|---|
| Vet this skillatilladeniz/Kubeli | 387 | 2 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Dstack Presetsdstackai/dstack | 2.3k | — | ~403 | Automated safety check: Pass | MPL-2.0 | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Toolsastronomer/astronomer | 491 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Dstackdstackai/dstack | 2.3k | — | ~6.2k | Automated safety check: Warn | MPL-2.0 | |
| Asdfjjmartres/opencode | 133 | — | ~2.1k | Automated safety check: Notes | MIT |
dstackai/dstack
Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 用户态安全入侵检测与取证工具,专为 AI Agent 设计。自动判断服务器是否被入侵, 提供完整证据链和可执行修复建议。51 个安全分析器覆盖进程/网络/认证/持久化/Rootkit/ 恶意软件/内存取证/容器逃逸等 12 类检测维度,10 个数据采集器全面采集系统状态, 映射 103+ MITRE ATT&CK 技术,支持 standalone/docker/k8s 三种部署模式。
astronomer/astronomer
A skill your agent uses when writing, editing, or reviewing command-line tools and helper scripts in this repo (things in bin/).
dstackai/dstack
dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.
jjmartres/opencode
A skill your agent uses whenever the user wants to install, configure, or use asdf (asdf-vm), the universal version manager.
alirezarezvani/claude-skills
A skill your agent uses when building a Kubernetes Operator — custom controllers that reconcile CRD state.
atilladeniz/Kubeli
Analyzes code based on John Ousterhout's "A Philosophy of Software Design".
atilladeniz/Kubeli
Refactors code following Ousterhout's design principles. An agent skill from atilladeniz/Kubeli.
Works with
Categories
Run vet immediately after ANY logical unit of code changes. An agent skill from atilladeniz/Kubeli. Vet is an agent skill from atilladeniz/Kubeli. Run vet immediately after ANY logical unit of code changes.
Vet fits situations like: tasks that involve Container orchestration.
Run `npx skills add atilladeniz/Kubeli --skill vet -a claude-code`. Or copy the skill folder (.claude/skills/vet in atilladeniz/Kubeli) into .claude/skills/vet in your project. Claude Code loads it when a task matches its description.
Run `npx skills add atilladeniz/Kubeli --skill vet -a codex`. Or copy the skill folder (.claude/skills/vet in atilladeniz/Kubeli) into .agents/skills/vet 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 atilladeniz/Kubeli --skill vet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vet, .gemini/skills/vet, .github/skills/vet and .opencode/skills/vet in your project.
Going by SKILL.md and its folder, Vet needs Python for the scripts in its folder and the command-line tools its instructions call (pip, pipx, uv and opencode). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: github.com. 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.
Vet is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.4k 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 Vet: Dstack Presets (dstackai/dstack, 2.3k stars), Alibabacloud Ecs Sec Userspace (aliyun/alibabacloud-ecs-troubleshoot-skills, 148 stars), Tools (astronomer/astronomer, 491 stars) and Dstack (dstackai/dstack, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
atilladeniz (a GitHub user) maintains it in atilladeniz/Kubeli, which has 387 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 5, 2026.
Source: atilladeniz/Kubeli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.