by AOROM · Codex Skill · ★ 110
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Evidence-grounded AI research workflow for traceable claims, explicit uncertainty, causal-language checks, and reviewable JSON, Markdown, and Excel exports.
| Stars | 110 |
| Forks | 3 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 54.0431458849492/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-14 |
| Created | 2026-08-10 |
| Platforms | codex, python |
| Est. Tokens | ~13k |
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paperreading is Evidence-grounded AI research workflow for traceable claims, explicit uncertainty, causal-language checks, and reviewable JSON, Markdown, and Excel exports.. It is categorized as a Codex Skill with 110 GitHub stars.
paperreading is primarily written in Python. It covers topics such as academic-research, academic-workflow, agent-skills.
You can find installation instructions and usage details in the paperreading GitHub repository at github.com/AOROM/paperreading. The project has 110 stars and 3 forks, indicating an active community.
paperreading is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to paperreading on Agent Skills Hub include Auto-Research-Skills, finai-research, research-hub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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.
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