docs: link to ars-codex sibling distribution (now public)

Link the now-public ARS Codex sibling distribution from README.md and POSITIONING.md while leaving platform-port policy and license terminology unchanged.
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Edward Cheng-I Wu
2026-05-11 11:12:14 +08:00
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## What this is
Academic Research Skills (ARS) is a **source-available academic research copilot framework** for noncommercial scholarly use. The reference distribution is a suite of Claude Code skills that assists human researchers through the full research-to-publication pipeline. Sibling distributions for other agent platforms (e.g. Codex) follow the same workflow content, the same human-in-the-loop design philosophy, and the same license terms; see [CONTRIBUTING.md § Platform ports](CONTRIBUTING.md#platform-ports-community-maintained-only).
Academic Research Skills (ARS) is a **source-available academic research copilot framework** for noncommercial scholarly use. The reference distribution is a suite of Claude Code skills that assists human researchers through the full research-to-publication pipeline. Sibling distributions for other agent platforms ([e.g. Codex](https://github.com/Imbad0202/academic-research-skills-codex)) follow the same workflow content, the same human-in-the-loop design philosophy, and the same license terms; see [CONTRIBUTING.md § Platform ports](CONTRIBUTING.md#platform-ports-community-maintained-only).
It is licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). This is not an open source license — it restricts commercial use by design, to keep the tool free for academic communities.
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**👉 [docs/SETUP.md](docs/SETUP.md)** — full guide: install Claude Code, set up API keys, optional Pandoc/tectonic for DOCX/PDF, cross-model verification (`ARS_CROSS_MODEL`), and five installation methods (Plugin, project skills, global skills, claude.ai Project, repo-cloned).
**Codex sibling distribution:** [academic-research-skills-codex](https://github.com/Imbad0202/academic-research-skills-codex).
## Performance & cost
**👉 [docs/PERFORMANCE.md](docs/PERFORMANCE.md)** — per-mode token budgets, full-pipeline estimate (~$46 for a 15k-word paper), and recommended Claude Code settings (Skip Permissions; Agent Team optional).