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Auto Research Pipeline
by
fireflywwj
· GitHub ↗
· v1.0.1
· MIT-0
364
Downloads
0
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1
Active Installs
2
Versions
Install in OpenClaw
/install auto-research-pipeline
Description
从 AutoResearch 到完整项目的全自动流水线（实验 → 多 Agent 编排 → 技能封装）
README (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：
- 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）。 - AutoResearch Run – 执行
/autoresearch run，循环实验并记录results.tsv。 - AutoResearch Analyze – 通过
/autoresearch analyze生成实验报告并挑选最佳改动。 - 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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-research-pipeline - After installation, invoke the skill by name or use
/auto-research-pipeline - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Confirmed publish, minor cleanup
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Auto Research Pipeline?
从 AutoResearch 到完整项目的全自动流水线（实验 → 多 Agent 编排 → 技能封装）. It is an AI Agent Skill for Claude Code / OpenClaw, with 364 downloads so far.
How do I install Auto Research Pipeline?
Run "/install auto-research-pipeline" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Research Pipeline free?
Yes, Auto Research Pipeline is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Research Pipeline support?
Auto Research Pipeline is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Research Pipeline?
It is built and maintained by fireflywwj (@fireflywwj); the current version is v1.0.1.
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