ARC plugin
ARC, a plugin for Codex and Claude Code: theoretical physics papers, citations and calculation checks.
- 117 ★ on the repository
- Last commit
- MIT
Extended access
Why this level
- The plugin fetches papers from external sources and installs a runtime from Git on your machine.
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add plugins/arcDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- The plugin fetches papers from external sources and installs a runtime from Git on your machine.
This is third-party code. Review the repository files before installing.
What it does
Agent Research Copilot gives an agent a layer for working with theoretical physics papers. The arc-paper package fetches papers from arXiv, INSPIRE and by DOI, caches them, reads structure, traverses references and citations and writes summaries. The arc-domain package builds an evidence-bearing research domain from papers and exports it. Managed workflows build on this: the agent is asked to build a domain from a paper since a given date, develop and review ideas, or check a calculation. Ordinary questions such as showing the context around equation 2.30 work without naming ARC. Durable jobs, model calls and the proposer-reviewer pattern run through AC Foundation. The plugin installs its runtime lazily and pins it to exact Git commits.
Who it is for. Theoretical physicists and PhD students who read many arXiv papers and want to hand reference search and derivation checks to an agent.
Good fit when
- A summary of a paper by arXiv number is needed together with its references and citing works.
- You need the context around a specific equation in the text.
- A researcher builds a domain from a paper and recent works after a given date.
- An agent checks a derivation from a draft while a human reviews the result.
Not a fit when
- Your work is outside physics: sources and workflows are set up for theoretical physics.
- You need OCR proofreading and translation of scans: that belongs to the separate ALC project.
- There is no network access: the plugin installs its runtime from Git and fetches papers.
Example request
Summarize arXiv:0911.3380, find its references and citing papers and show the context around equation 2.30.Limitations
The runtime is installed from Git at pinned AC Foundation and ARC revisions, so the first run needs a network and Git. A separate environment guide covers scientific libraries and PDF tools. The paper cache lives in `.arc/cache/arc-paper` next to the launch directory by default, and `ARC_PAPER_CACHE` changes the path. Judge calculation checks and generated ideas yourself. The authors ask for a citation of the ARC preprint in work the plugin helped with.
How to disable. For Claude Code run /plugin uninstall arc, for Codex remove the plugin with the codex plugin command. The .arc cache and the pinned runtime are removed separately.
FAQ
How do I install ARC in Codex?
Run `codex plugin marketplace add tririver/arc --ref main`, then `codex plugin add arc@arc`.
How do I install ARC in Claude Code?
Enter `/plugin marketplace add tririver/arc@main`, then `/plugin install arc`.
Do I need to name ARC in the request?
Not for ordinary questions about a paper. For managed workflows write Use ARC to, for example to build a domain or check a calculation.
How do I check the runtime?
Run `plugins/arc/bin/arc-runtime doctor`. The `setup` command prepares the pinned runtime ahead of time.
Where is the paper cache stored?
In `.arc/cache/arc-paper` under the launch directory, and `ARC_PAPER_CACHE` changes the place.
Discussion
No questions or reviews yet.
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README in short
ARC is split off from a larger project: OCR proofreading, translation and publishing live in ALC, and durable jobs and models in AC Foundation. The distribution is a plugin for Codex, Claude Code and DeepSeek Harness. The runtime is lazily SHA-locked, and the packages are not published on PyPI.