ML AI
grafana/skills
Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN…
当你需要配置/新增/排查 LLM 提供商（OpenAI/Azure/Gemini/Anthropic/Ollama/各类兼容网关）时使用；确保 YAML/Schema/代码一致。
Install Xrk LLM
$ npx skills add xrkseek/XRK-AGT --skill xrk-llm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-llm --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/xrkseek/XRK-AGT.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/xrk-llm .claude/skills/xrk-llm && 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 "xrk-llm" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-llm into .claude/skills/xrk-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-llm", 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/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-llmType 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 xrkseek/XRK-AGT --skill xrk-llm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-llm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xrkseek/XRK-AGT.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/xrk-llm .agents/skills/xrk-llm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "xrk-llm" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-llm into .agents/skills/xrk-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-llm", 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 xrkseek/XRK-AGT --skill xrk-llm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-llm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xrkseek/XRK-AGT.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/xrk-llm .cursor/skills/xrk-llm && 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 "xrk-llm" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-llm into .cursor/skills/xrk-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-llm", 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/xrkseek/XRK-AGT.git --path .cursor/skills/xrk-llm--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 xrkseek/XRK-AGT --skill xrk-llm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-llm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xrkseek/XRK-AGT.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/xrk-llm .gemini/skills/xrk-llm && 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 "xrk-llm" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-llm into .gemini/skills/xrk-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-llm", 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 xrkseek/XRK-AGT xrk-llmInstalls 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 xrkseek/XRK-AGT --skill xrk-llm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xrkseek/XRK-AGT.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/xrk-llm .github/skills/xrk-llm && 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 "xrk-llm" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-llm into .github/skills/xrk-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-llm", 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 xrkseek/XRK-AGT --skill xrk-llm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-llm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xrkseek/XRK-AGT.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/xrk-llm .opencode/skills/xrk-llm && 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 "xrk-llm" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-llm into .opencode/skills/xrk-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-llm", 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
xrk-llm- GitHub stars
- 138
- Token cost
- ~304 tokens
- SKILL.md length
- 69 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT
At a glance
当你需要配置/新增/排查 LLM 提供商（OpenAI/Azure/Gemini/Anthropic/Ollama/各类兼容网关）时使用；确保 YAML/Schema/代码一致。
- Works in 3 steps: 本项目没有（无等价能力，不是「差一点」） → 本产品有必要（QQ/多通道 AgentRuntime 真刚需，不是酷炫） → 对方做得明显更好（可移植且更稳/更对）
- Tasks that involve LLM inference and serving
- SKILL.md covers 入口, 外仓吸收三准则（必须同时满足）, 出站 / tool 环 and 已吸收（过三准则）
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Xrk LLM is an agent skill from xrkseek/XRK-AGT. 当你需要配置/新增/排查 LLM 提供商（OpenAI/Azure/Gemini/Anthropic/Ollama/各类兼容网关）时使用；确保 YAML/Schema/代码一致。
Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM inference and serving. It works with Ollama, OpenAI and Microsoft Azure. The repository describes itself as: 这是基于多语言所搭建的基于web，工作流，新型算法组件的智能体. The licence is MIT.
When your agent uses it
- Tasks that involve LLM inference and serving
Example prompts
- “/xrk-llm”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 本项目没有（无等价能力，不是「差一点」）
- 本产品有必要（QQ/多通道 AgentRuntime 真刚需，不是酷炫）
- 对方做得明显更好（可移植且更稳/更对）
What it can do on your machine
Read from SKILL.md and the folder at commit 63f004e. 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.
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
Xrk LLM loads about 304 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 69 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
The full file from xrkseek/XRK-AGT at commit 63f004e, republished under its MIT licence (© xrkseek). 69 words, ~304 tokens.
Download SKILL.mdSave it as
.claude/skills/xrk-llm/SKILL.md (or your agent's skills folder).- name
- xrk-llm
- description
- 当你需要配置/新增/排查 LLM 提供商（OpenAI/Azure/Gemini/Anthropic/Ollama/各类兼容网关）时使用；确保 YAML/Schema/代码一致。
读者：Coding Agent（工厂与配置三同步）。办事助手勿读本文件。
入口
docs/factory.md、src/factory/llm/LLMFactory.js、core/system-Core/http/ai.js、docs/harness-module-loop.md
外仓吸收三准则（必须同时满足）
- 本项目没有（无等价能力，不是「差一点」）
- 本产品有必要（QQ/多通道 AgentRuntime 真刚需，不是酷炫）
- 对方做得明显更好（可移植且更稳/更对）
不满足则不学、不融。
出站 / tool 环
slash/recipe → messages → contextWindow trim → harness continueTurn（MCP）
无 MCP 的 /v1 · 流式单次 → LLMFactory chat/chatStream（不执行工具）并行：policies + security.toolScan（approval 默认关）+ SystemContext 指纹。
群聊入口：plugin/ai.js → ChatStream.process({ mergeWorkflows })；见 docs/agent-context.md。
已吸收（过三准则）
| 能力 | 来源 | 落点 |
|---|---|---|
| Agent loop / session 压缩 | XRK-Harness | @xrkseek/harness · harness-module-loop |
| Policy + 威胁扫描 + 可选审批 | opencode/goose | runtime-policy · security.* |
| Recipe / slash | goose | recipes/ · slash-commands |
| apply_edit / verify / PageRank map | aider | tools MCP |
| triggers microagents | OpenHands | trigger-microagents |
| aux / variants / reasoning budget / 重试 | goose/cline/opencode | 既有 LLM 工厂（单次补全） |
© xrkseek, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .cursor/skills/xrk-llm of xrkseek/XRK-AGT.
Open the folder on GitHubat commit 63f004e
Compare with similar skills
Xrk LLM 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 |
|---|---|---|---|---|---|---|
| Xrk LLM this skillxrkseek/XRK-AGT | 138 | — | ~304 | Automated safety check: Pass | MIT | |
| ML AIgrafana/skills | 282 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Aider DelegateamElnagdy/delegate-skills | 2.3k | 2 repos | ~3k | Automated safety check: Pass | MIT | |
| Perfupraullenchai/Rapid-MLX | 4k | — | ~1.6k | Automated safety check: Notes | Custom licence | |
| Ideer Daily Paper ChatbotAI45Lab/iDeer | 416 | — | ~3k | Automated safety check: Notes | AGPL-3.0 | |
| Agent Frameworkjihadkhawaja/Egroo | 178 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
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Configuring Vision
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The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models.
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Xrk HTTP API
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当你需要开发或排查 HTTP API（core//http/.js）、理解 HttpApi 基类、HttpApiLoader、业务层约定时使用。
Xrk Node Runtime
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编写或审查 core/src 代码时，确保使用 Node 26 稳定 API，禁止旧写法（fetch/exec/错误/二进制）。AI 改 Core 前必读。
Xrk GitHub Research
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在 GitHub 搜索成熟开源实现、对比方案、读 issue/PR 时使用。架构选型、unfamiliar 领域、找业界最佳实践时主动调用。
Xrk Www Compat
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编写或审查 core//www 静态页、校园 WebView 兼容、HttpResponse 前端解包时使用。Core www 走浏览器兼容层（xrk-www-compat）。含零配置静态与有 sign.json（纯静态/产物/反代，sign↔server 合并）挂载。
Related
Works with
Categories
Questions about Xrk LLM
What does Xrk LLM do?
当你需要配置/新增/排查 LLM 提供商（OpenAI/Azure/Gemini/Anthropic/Ollama/各类兼容网关）时使用；确保 YAML/Schema/代码一致。. Xrk LLM is an agent skill from xrkseek/XRK-AGT.
When should I use Xrk LLM?
Xrk LLM fits situations like: tasks that involve LLM inference and serving.
How do I install Xrk LLM in Claude Code?
Run `npx skills add xrkseek/XRK-AGT --skill xrk-llm -a claude-code`. Or copy the skill folder (.cursor/skills/xrk-llm in xrkseek/XRK-AGT) into .claude/skills/xrk-llm in your project. Claude Code loads it when a task matches its description.
How do I install Xrk LLM in Codex?
Run `npx skills add xrkseek/XRK-AGT --skill xrk-llm -a codex`. Or copy the skill folder (.cursor/skills/xrk-llm in xrkseek/XRK-AGT) into .agents/skills/xrk-llm in your project. Codex loads it when a task matches its description.
Can I use Xrk LLM 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 xrkseek/XRK-AGT --skill xrk-llm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xrk-llm, .gemini/skills/xrk-llm, .github/skills/xrk-llm and .opencode/skills/xrk-llm in your project.
What does Xrk LLM need to run?
SKILL.md names no scripts, command-line tools or credentials: Xrk LLM is instructions for the agent only.
Does Xrk LLM 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 Xrk LLM 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 Xrk LLM use?
Xrk LLM is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Xrk LLM use?
About 304 tokens (SKILL.md is roughly 1.2k 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 Xrk LLM?
Skills that share tags, products or a category with Xrk LLM: ML AI (grafana/skills, 282 stars), Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Perfup (raullenchai/Rapid-MLX, 4k stars) and Ideer Daily Paper Chatbot (AI45Lab/iDeer, 416 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Xrk LLM?
xrkseek (a GitHub user) maintains it in xrkseek/XRK-AGT, which has 138 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 1, 2026.
Source: xrkseek/XRK-AGT on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.