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NeuriCo
by
Haokun liu
· GitHub ↗
· v0.2.1
· MIT-0
220
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install neurico
Description
Autonomous research framework that orchestrates AI agents (Claude Code, Codex, Gemini) to design, execute, analyze, and document scientific experiments. Take...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install neurico - After installation, invoke the skill by name or use
/neurico - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is NeuriCo?
Autonomous research framework that orchestrates AI agents (Claude Code, Codex, Gemini) to design, execute, analyze, and document scientific experiments. Take... It is an AI Agent Skill for Claude Code / OpenClaw, with 220 downloads so far.
How do I install NeuriCo?
Run "/install neurico" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is NeuriCo free?
Yes, NeuriCo is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does NeuriCo support?
NeuriCo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created NeuriCo?
It is built and maintained by Haokun liu (@laoliu5280); the current version is v0.2.1.
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