Codebase Management
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
当你需要开发/调试 AiWorkflow 工作流、出站裁剪、策略安全、RAG 上下文增强、MCP 工具作用域时使用. An agent skill from xrkseek/XRK-AGT.
Install Xrk AI Workflow
$ npx skills add xrkseek/XRK-AGT --skill xrk-ai-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-ai-workflow --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-ai-workflow .claude/skills/xrk-ai-workflow && 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-ai-workflow" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-ai-workflow into .claude/skills/xrk-ai-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-ai-workflow", 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-ai-workflowType 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-ai-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-ai-workflow --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-ai-workflow .agents/skills/xrk-ai-workflow && 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-ai-workflow" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-ai-workflow into .agents/skills/xrk-ai-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-ai-workflow", 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-ai-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-ai-workflow --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-ai-workflow .cursor/skills/xrk-ai-workflow && 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-ai-workflow" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-ai-workflow into .cursor/skills/xrk-ai-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-ai-workflow", 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-ai-workflow--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-ai-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xrkseek/XRK-AGT xrk-ai-workflow --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-ai-workflow .gemini/skills/xrk-ai-workflow && 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-ai-workflow" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-ai-workflow into .gemini/skills/xrk-ai-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-ai-workflow", 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-ai-workflowInstalls 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-ai-workflow -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-ai-workflow .github/skills/xrk-ai-workflow && 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-ai-workflow" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-ai-workflow into .github/skills/xrk-ai-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-ai-workflow", 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-ai-workflow -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-ai-workflow --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-ai-workflow .opencode/skills/xrk-ai-workflow && 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-ai-workflow" agent skill from https://github.com/xrkseek/XRK-AGT/tree/main/.cursor/skills/xrk-ai-workflow into .opencode/skills/xrk-ai-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xrk-ai-workflow", 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-ai-workflow- GitHub stars
- 138
- Token cost
- ~337 tokens
- SKILL.md length
- 56 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT
At a glance
当你需要开发/调试 AiWorkflow 工作流、出站裁剪、策略安全、RAG 上下文增强、MCP 工具作用域时使用. An agent skill from xrkseek/XRK-AGT.
- AI & LLM Engineering work in your project
- SKILL.md covers 文档与代码, 工作流 and 与子服务端关系
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Xrk AI Workflow is an agent skill from xrkseek/XRK-AGT. 当你需要开发/调试 AiWorkflow 工作流、出站裁剪、策略安全、RAG 上下文增强、MCP 工具作用域时使用。
Its SKILL.md is about 340 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. It works with Model Context Protocol. 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
- AI & LLM Engineering work in your project
Example prompts
- “/xrk-ai-workflow”
Requirements
- Python 3
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 AI Workflow loads about 337 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 56 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). 56 words, ~337 tokens.
Download SKILL.mdSave it as
.claude/skills/xrk-ai-workflow/SKILL.md (or your agent's skills folder).- name
- xrk-ai-workflow
- description
- 当你需要开发/调试 AiWorkflow 工作流、出站裁剪、策略安全、RAG 上下文增强、MCP 工具作用域时使用。
读者：Coding Agent（改
src/core）。产品模型工具用法见.xrk/skills/core/agent-tools。
文档与代码
- 契约：docs/agent-context.md · docs/ai-workflow.md · docs/harness-module-loop.md
- 代码：
src/infrastructure/ai-workflow/ai-workflow.js·harness-module-loop.js·loader.js·chat-pipeline.js
工作流
- 路径：
core/*/workflow/*.js（AiWorkflowLoader扫描，不用ai-workflow.streamDir） - 配置：
data/server_bots/{port}/ai-workflow.yaml；schemacommonconfig/system/system-ai-workflow.js - 工具：
registerMCPTool→this.mcpTools；远程挂载：export function getMcpServers()或 yamlmcp.remote - Tool 环：
callAI//v1+workflows →@xrkseek/harness（runHarnessModuleLoop） - 工厂：仅单次
chat/chatStream（无 MCP 多轮） - 出站：
prepareOutboundMessages= contextWindow trim - 策略/安全：
policies[]·security.toolScan·security.approval；执行门禁在MCPServer.handleToolCall - 斜杠：
slash-commands.js（/recipe）；microagents：trigger-microagents.js - Shell：
#utils/exec-async.js；禁止promisify(exec)（skillxrk-node-runtime）
与子服务端关系
子服务端为可选 Python 扩展；AiWorkflow 核心链路不依赖子服务。业务 Core 可通过 AgentRuntime.callSubserver 调用子服务 apis/ 接口。
© 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-ai-workflow of xrkseek/XRK-AGT.
Open the folder on GitHubat commit 63f004e
Compare with similar skills
Xrk AI Workflow 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 AI Workflow this skillxrkseek/XRK-AGT | 138 | — | ~337 | Automated safety check: Pass | MIT | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Aisafetyhotwuyoscar/AISafetyHot-Hub | 827 | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| AutoRAG Setup and RepairMarker-Inc-Korea/AutoRAG | 5.1k | — | ~5.6k | Automated safety check: Pass | MIT | |
| Sciverseopendatalab/Sciverse-Agent-Tools | 120 | — | ~3k | Automated safety check: Pass | Custom licence | |
| Flowflow Spacesmirkobozzetto/flowflow | 171 | — | ~1k | Automated safety check: Pass | EUPL-1.2 |
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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。
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Related
Works with
Categories
Questions about Xrk AI Workflow
What does Xrk AI Workflow do?
当你需要开发/调试 AiWorkflow 工作流、出站裁剪、策略安全、RAG 上下文增强、MCP 工具作用域时使用. An agent skill from xrkseek/XRK-AGT. Xrk AI Workflow is an agent skill from xrkseek/XRK-AGT.
When should I use Xrk AI Workflow?
Xrk AI Workflow fits situations like: AI & LLM Engineering work in your project.
How do I install Xrk AI Workflow in Claude Code?
Run `npx skills add xrkseek/XRK-AGT --skill xrk-ai-workflow -a claude-code`. Or copy the skill folder (.cursor/skills/xrk-ai-workflow in xrkseek/XRK-AGT) into .claude/skills/xrk-ai-workflow in your project. Claude Code loads it when a task matches its description.
How do I install Xrk AI Workflow in Codex?
Run `npx skills add xrkseek/XRK-AGT --skill xrk-ai-workflow -a codex`. Or copy the skill folder (.cursor/skills/xrk-ai-workflow in xrkseek/XRK-AGT) into .agents/skills/xrk-ai-workflow in your project. Codex loads it when a task matches its description.
Can I use Xrk AI Workflow 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-ai-workflow -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-ai-workflow, .gemini/skills/xrk-ai-workflow, .github/skills/xrk-ai-workflow and .opencode/skills/xrk-ai-workflow in your project.
What does Xrk AI Workflow need to run?
SKILL.md names no scripts, command-line tools or credentials: Xrk AI Workflow is instructions for the agent only. Our summary lists: Python 3.
Does Xrk AI Workflow 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 AI Workflow 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 AI Workflow use?
Xrk AI Workflow 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 AI Workflow use?
About 337 tokens (SKILL.md is roughly 1.3k 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 AI Workflow?
Skills that share tags, products or a category with Xrk AI Workflow: Codebase Management (giancarloerra/SocratiCode, 3.3k stars), Aisafetyhot (wuyoscar/AISafetyHot-Hub, 827 stars), AutoRAG Setup and Repair (Marker-Inc-Korea/AutoRAG, 5.1k stars) and Sciverse (opendatalab/Sciverse-Agent-Tools, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Xrk AI Workflow?
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.