paper-lifecycle: Codex skill for full academic paper lifecycle analysis and revision

by M1n-n9 · Codex Skill · ★ 698

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install paper-lifecycle

git clone https://github.com/M1n-n9/paper-lifecycle.git "$env:USERPROFILE\.codex\research-skills\paper-lifecycle"
git clone https://github.com/M1n-n9/paper-lifecycle.git ~/.codex/research-skills/paper-lifecycle

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 42/100

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.

Quick Facts

Stars698
Forks38
CategoryCodex Skill
Quality Score42/100
Last Updated2026-06-16
Created2026-06-15
Platformscodex
Est. Tokens~15k

About paper-lifecycle

Paper Lifecycle Skills 中文 · English 中文 Switch to English 现在是一个科研写作 skills suite。根目录只做项目说明,真正可安装、可调用的 skill 是两个平级目录: 两个 Skill Review Revision 路径: 用途:对已有论文、初稿、被拒稿件或已有明确方向的 idea 做审稿式体检和修改规划。它会检查问题是否真实,insight 是否成立,novelty 是否站得住,method 是否服务于机制,experiments 是否支撑 claim,writing 是否把审稿人带到正确理解。 适合: 论文 PDF、LaTeX、Word 或 Markdown 初稿诊断 A 会、期刊或 workshop 投稿前 checklist introduction、related work、method、experiments...

Compatible Skills

These tools work well together with paper-lifecycle for enhanced workflows:

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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:

View on GitHub → Browse Codex Skill tools