by O0000-code · Codex Skill · ★ 226
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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.
| Stars | 226 |
| Forks | 16 |
| Language | HTML |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 72/100 |
| Last Updated | 2026-11-03 |
| Created | 2026-05-24 |
| Platforms | claude-code, codex |
| Est. Tokens | ~17k |
English · 中文 paper-search-pro Academic literature discovery as a Skill. Built natively for Claude Code; runs in Codex and any agent that loads the SKILL.md format. Five sources · four tiers · single-file Shadcn report.
Looking for a paper-search-pro alternative? If you're comparing paper-search-pro with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Academic Paper Search：中文科研用户的 Codex / Claude Code / DeepSeek Harness Skill + MCP；跨 CrossRef、PubMed、arXiv、OpenA
DOI → PDF resolver with 7-source fallback (Unpaywall, S2, arXiv, PMC, bioRxiv, publisher, Sci-Hub). Multi-agen
Give an AI a research direction: it runs literature synthesis, gap validation, hypothesis formation and experi
Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publ
De-Anthropocentric Research Engine — AI-powered academic research automation with deep literature survey, gap
Pure instruction-pack skill wrapping Ai2's Asta MCP server (Semantic Scholar). Intent-to-tool routing, safe de
Explore other popular codex skill tools:
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: