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Auto Research Pipeline

作者 fireflywwj · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install auto-research-pipeline
功能描述
从 AutoResearch 到完整项目的全自动流水线(实验 → 多 Agent 编排 → 技能封装)
使用说明 (SKILL.md)

AutoResearch → Agency Agents → Skill Creator 流水线

此技能会在一次调用中完成以下四个阶段:

  1. AutoResearch Setup – 使用 /autoresearch setup 初始化实验配置(目标、指标、可改动文件、运行命令等)。
  2. AutoResearch Run – 执行 /autoresearch run,循环实验并记录 results.tsv
  3. AutoResearch Analyze – 通过 /autoresearch analyze 生成实验报告并挑选最佳改动。
  4. Agency Agents 编排 – 调用 /openclaw skill use agency-agents --agent orchestrator "依据分析完成项目",让编排器依据最佳改动自动调度多个专业 Agent 完成完整项目交付。

使用方式

/openclaw skill use auto-research-pipeline

上述命令将在后台自动完成实验、协作与封装,省去手动敲多条指令的过程。

安全使用建议
This skill is essentially a macro that tells other skills to run and then hands work to an orchestrator agent to 'complete the project.' That is not inherently malicious, but it is powerful and open-ended: the orchestrator could perform network calls, access data, enable or create other skills, or make irreversible changes. Before installing or running it, (1) inspect the implementations/prompts and permissions of the referenced skills (AutoResearch and agency-agents/orchestrator); (2) require manual approvals or breakpoints between stages (do not allow fully autonomous end-to-end runs on your production environment); (3) run it first in a safe sandbox or isolated workspace with no sensitive credentials; (4) restrict what data the orchestrator can access and review audit logs for actions it takes; and (5) avoid providing any secrets or broad credentials unless you have reviewed the downstream agents' behavior. If you can provide the SKILL.md or code for the referenced 'autoresearch' and 'agency-agents' skills, I can give a higher-confidence assessment.
功能分析
Type: OpenClaw Skill Name: auto-research-pipeline Version: 1.0.1 The skill is a workflow automation tool designed to orchestrate existing research and agent-based skills. It sequentially executes internal commands for setup, execution, analysis, and orchestration (via /autoresearch and agency-agents) as described in SKILL.md. No malicious patterns, data exfiltration, or suspicious instructions were identified.
能力评估
Purpose & Capability
The skill is an instruction-only macro that sequences AutoResearch steps and then invokes an 'agency-agents' orchestrator to complete a project. Requiring no binaries, env vars, or installs is consistent with a lightweight orchestrator that merely calls other skills.
Instruction Scope
The SKILL.md instructs the agent to run /autoresearch setup/run/analyze and then call /openclaw skill use agency-agents --agent orchestrator "依据分析完成项目". That delegation is intentionally open-ended: the orchestrator is told to 'complete the project' based on analysis, which grants broad discretion to invoke other skills, perform network I/O, modify outputs, and potentially create or package new skills. The instructions do not place constraints, checkpoints, or limits on what the orchestrator may do.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is written to disk by this skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate given it only directs other skills to run; however, the real credential/privilege needs depend on the downstream skills it invokes.
Persistence & Privilege
always is false, but the skill explicitly initiates an orchestrator agent that may autonomously invoke and coordinate multiple agents and perform 'skill packaging'. This can result in creation/enabling of other skills or wide-ranging actions — a higher-privilege behavior by delegation even though the skill itself doesn't request persistent privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install auto-research-pipeline
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /auto-research-pipeline 触发
  4. 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
v1.0.1
Confirmed publish, minor cleanup
v1.0.0
Initial release
元数据
Slug auto-research-pipeline
版本 1.0.1
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 2
常见问题

Auto Research Pipeline 是什么?

从 AutoResearch 到完整项目的全自动流水线(实验 → 多 Agent 编排 → 技能封装). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 364 次。

如何安装 Auto Research Pipeline?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install auto-research-pipeline」即可一键安装,无需额外配置。

Auto Research Pipeline 是免费的吗?

是的,Auto Research Pipeline 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Auto Research Pipeline 支持哪些平台?

Auto Research 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 Auto Research Pipeline?

由 fireflywwj(@fireflywwj)开发并维护,当前版本 v1.0.1。

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