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在 OpenClaw 中安装
/install runesleo-content-pipeline
功能描述
4-stage content pipeline orchestrator: Research -> Ideate -> Write -> Queue. Give it a topic, it researches existing discussions, generates hook angles, writ...
安全使用建议
This is an instruction-only content pipeline that will read and write files in your current project (./content-queue.json and ./research/...). Before enabling it: (1) ensure the agent is confined to the project directory or run in an isolated workspace so any Bash/Read/Write permissions the platform grants cannot access unrelated sensitive files; (2) back up or review content-queue.json before first run (the skill writes the full JSON file); (3) if you expect the pipeline to use authenticated APIs (Twitter, publishing endpoints), note the skill doesn't request credentials — you'll need to provide them through your platform's secure credential mechanism or accept that the skill will rely on public web search only; (4) review generated research files and drafts for correctness and for any accidental disclosure of private data. If you are comfortable restricting the agent's file/command access to a project folder and reviewing outputs, the skill appears coherent with its stated purpose.
功能分析
Type: OpenClaw Skill
Name: runesleo-content-pipeline
Version: 1.0.0
The skill is a content orchestration pipeline designed to automate research, ideation, and drafting for creators. It manages a local JSON-based queue (`content-queue.json`) and research files using standard filesystem and web search tools. All instructions and tool requirements (including Bash and Agent) are consistent with the stated purpose of a multi-stage content workflow, and no indicators of malicious intent or data exfiltration were found.
能力评估
Purpose & Capability
The name/description (4-stage content pipeline) match the instructions: research, ideate, write, and queue, and the skill only requires reading/writing project files and performing web searches. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
Runtime instructions explicitly read/write ./content-queue.json and create ./research/*.md files and use web/Twitter searches. That's within scope. However the allowed-tools list includes Bash/Grep/Glob/Agent which give the agent the ability to run shell commands and invoke other agent skills — the SKILL.md doesn't instruct scanning of other system files, but if the platform grants the skill those tools it could perform broader file or command access beyond the stated project paths.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is downloaded or written to disk by an installer, which minimizes install-time risk.
Credentials
The skill declares no environment variables and does not ask for credentials. It references Twitter/X and domain-specific sources for research; this is reasonable for public web research, but if you expect authenticated API access (e.g., Twitter API) you'll need to provide credentials separately — the skill does not declare or request them.
Persistence & Privilege
always:false (default) and no persistent install behavior. The skill can be invoked autonomously per platform defaults, which is normal; it does not request permanent inclusion or modify other skills.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install runesleo-content-pipeline - 安装完成后，直接呼叫该 Skill 的名称或使用
/runesleo-content-pipeline触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Content Pipeline v1.0.0 – First release
- Introduces a 4-stage orchestrator to automate content creation: Research → Ideate → Write → Queue.
- Supports commands to initiate full pipeline, queue seeds, check status, review drafts, and manage content lifecycle.
- Stores queue data in `content-queue.json` and research in dated markdown files.
- Enables platform-specific adaptation, approval, publishing, and cleanup of old items.
- Designed for creators needing systematic, research-driven content production.
元数据
常见问题
Content Pipeline 是什么？
4-stage content pipeline orchestrator: Research -> Ideate -> Write -> Queue. Give it a topic, it researches existing discussions, generates hook angles, writ... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 289 次。
如何安装 Content Pipeline？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install runesleo-content-pipeline」即可一键安装，无需额外配置。
Content Pipeline 是免费的吗？
是的，Content Pipeline 完全免费（开源免费），可自由下载、安装和使用。
Content Pipeline 支持哪些平台？
Content Pipeline 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Content Pipeline？
由 runesleo（@runesleo）开发并维护，当前版本 v1.0.0。
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