Academic Research Skills for Codex (ARS-Codex)
- Author/Source: Edward Cheng-I Wu, GitHub
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Original: https://github.com/Imbad0202/academic-research-skills-codex
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Key Ideas
- Codex-native sibling distribution of Academic Research Skills. Same workflow content; repackaged as a single Codex skill
$academic-research-suitewithars-*aliases. - Vendors the upstream ARS suite verbatim under
skills/academic-research-suite/ars/, plus a Codex router inSKILL.mdand OpenAI agents YAML atagents/openai.yaml. - Codex package version
0.1.6tracks independently of the vendored ARS version (currently pinned to a specific upstream commit recorded inmanifest.source_repositories[]). -
Single-line install via the Codex skill installer:
python ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py --repo Imbad0202/academic-research-skills-codex --ref main --path skills/academic-research-suite --method git. -
Summary
Codex packaging of the ARS pipeline. The vendored content is identical to the Claude Code version; the value of the separate repo is purely distribution: Codex's skill system uses a single-suite layout rather than the multi-skill directory layout that Claude Code expects, and a single Codex skill router replaces Claude Code's /plugin marketplace flow. Users who prefer Codex CLI / Codex desktop for academic writing get the same agent rosters, integrity gates, anti-sycophancy protocols, and journal references without juggling two toolchains.
- Relevance to Economics Research
A reminder that the Codex ecosystem has reached feature parity with Claude Code for skill-based workflows. For economists committed to the OpenAI stack (e.g., GPT-5.3-Codex users following Panjwani's course), this is the canonical port of the most-elaborate academic-research skill bundle. The cross-platform port also documents an interesting pattern: when the Claude Code and Codex skill formats diverge, vendoring the upstream and writing a thin adapter is more sustainable than dual-maintaining the workflow content.