← 返回 Skills 市场
NeuriCo
作者
Haokun liu
· GitHub ↗
· v0.2.1
· MIT-0
220
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install neurico
功能描述
Autonomous research framework that orchestrates AI agents (Claude Code, Codex, Gemini) to design, execute, analyze, and document scientific experiments. Take...
安全使用建议
This skill appears coherent with its stated goal, but the bundle contains only documentation and relies on an external GitHub repository and a Docker image. Before using it: 1) Inspect the referenced GitHub repo (https://github.com/ChicagoHAI/neurico) and the Dockerfile/image (ghcr.io/chicagohai/neurico) to ensure they are legitimate and contain no unexpected scripts. 2) Prefer running the Docker image (container isolation) rather than native install. 3) Create and use least-privilege GitHub tokens (avoid full account-scoped tokens; use repo-scoped tokens or run with --no-github if you don't want pushes). 4) Avoid supplying unrelated secrets; only provide API keys you understand and need. 5) If you cannot verify the external sources or you lack isolation, do not run the setup scripts or the container on sensitive hosts. Additional information that would increase confidence: a verifiable upstream repository/maintainer identity, signed/reproducible container image, or included code files for local review.
功能分析
Type: OpenClaw Skill
Name: neurico
Version: 0.2.1
The skill bundle describes an autonomous research framework that requires high-privilege access, including a GitHub token with 'repo' scope and multiple AI service API keys. It facilitates autonomous code execution for experiments and automated repository management, which are high-risk behaviors even if aligned with the stated scientific purpose. The installation instructions in SKILL.md also include risky patterns such as 'curl | sh' for the 'uv' tool and the execution of a local setup script ('./neurico setup') that pulls external Docker images.
能力评估
Purpose & Capability
Name/description promise (autonomous research pipeline producing code, results, LaTeX, GitHub repo) matches the SKILL.md instructions which describe cloning the project, using Docker or native Python, logging into AI provider CLIs, and optionally providing GitHub and other API keys. Required resources suggested (GITHUB_TOKEN, AI CLIs, optional LLM/data service keys) are appropriate for the stated functionality.
Instruction Scope
SKILL.md instructs the operator to clone a GitHub repository, pull a Docker image (ghcr.io/chicagohai/neurico:latest), run a local setup script, log into provider CLIs (Claude/Codex/Gemini), and optionally place API keys into a .env. These steps are consistent with the skill's purpose but they require host-level operations (Docker, OAuth CLI logins, storing tokens) and will cause code and experiments to run on your machine or inside a container. Because the skill bundle contains only documentation (no code), the actual runtime behavior depends entirely on the external repository and Docker image; you should inspect those sources before running.
Install Mechanism
The skill itself has no install spec or embedded code (instruction-only). The README recommends cloning a GitHub repository and pulling a GitHub Container Registry image. Those are normal for this use-case. No obscure download URLs, shorteners, or embedded binary payloads are present in the provided SKILL.md; the risk surface is the external repo and container referenced.
Credentials
The skill declares no required env vars in the bundle, but SKILL.md recommends a GitHub token (repo scope) and lists several optional API keys (OPENAI_API_KEY, S2_API_KEY, HF_TOKEN, WANDB_API_KEY, etc.) that are plausible for added features. Requesting a full-scoped GitHub token is proportionate to auto-creating and pushing repos but you should prefer least-privilege (use a token with only the necessary repo scopes, or use --no-github). Optional keys are reasonable for enhanced functionality, but you should not provide unrelated secrets.
Persistence & Privilege
Skill flags show always:false and agent invocation is allowed (default). The skill does not request permanent platform-level privileges in the bundle. However, runtime setup will ask you to store credentials (GitHub token, CLI OAuth) and possibly write a .env; those are normal for tooling but you should manage tokens carefully and run in an isolated environment if unsure.
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 neurico - 安装完成后，直接呼叫该 Skill 的名称或使用
/neurico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
v0.2.1
- Updated installation instructions for clarity and consistency.
- Added "Source" field in Quick Reference linking to the project's GitHub and lab.
- Expanded on the Docker image description, emphasizing contained dependencies and security.
- Added a "Security" section outlining key privacy and safety practices.
- Minor adjustments to run options and formatting for improved readability.
v0.2.0
- Major update: NeuriCo now orchestrates multi-agent AI for autonomous scientific research from idea to paper.
- Accepts YAML input with title, domain, and hypothesis to initiate projects.
- End-to-end workflow includes literature review, experiment design/execution, analysis, LaTeX paper writing, and automated GitHub repo creation/push.
- Supports Claude Code, Codex, and Gemini as coding agents (OAuth login).
- Expanded documentation covers input/output formats, setup tiers, domains, and optional integrations (e.g., OpenAI, Semantic Scholar, Hugging Face, W&B).
- Simplified installation (Docker and native) and improved CLI options for full pipeline automation.
元数据
常见问题
NeuriCo 是什么？
Autonomous research framework that orchestrates AI agents (Claude Code, Codex, Gemini) to design, execute, analyze, and document scientific experiments. Take... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 220 次。
如何安装 NeuriCo？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install neurico」即可一键安装，无需额外配置。
NeuriCo 是免费的吗？
是的，NeuriCo 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
NeuriCo 支持哪些平台？
NeuriCo 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 NeuriCo？
由 Haokun liu（@laoliu5280）开发并维护，当前版本 v0.2.1。
推荐 Skills