academic-research-skills-codex: Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

by Imbad0202 · Codex Skill · ★ 14.1k

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Featured in: OpenAI Codex Skills

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

academic-pipelineacademic-researchacademic-writingai-researchcodexliterature-reviewopenai-codexpeer-reviewprompt-engineeringresearch-assistant

Quick Facts

Stars14,133
Forks613
LanguagePython
CategoryCodex Skill
Quality Score70/100
Open Issues1
Last Updated2026-11-06
Created2026-04-25
Platformscodex, python
Est. Tokens~17k

About academic-research-skills-codex

Academic Research Skills for Codex Codex-native packaging of the Academic Research Skills suite. This is the sibling Codex distribution of Academic Research Skills for Claude Code. This repository vendors the ARS workflow content as a single Codex skill: The original Claude Code ARS checkout is not modified.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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