by krzysztofdudek · Codex Skill · ★ 268
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 | 268 |
| Forks | 27 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61/100 |
| Last Updated | 2026-11-04 |
| Created | 2026-03-22 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~14k |
Researcher Skill One file. Your AI coding agent becomes a scientist. Drop into Claude Code, Codex, or any agent. It will design experiments, test hypotheses, discard what fails, keep what works — 30+ experiments overnight while you sleep.
These tools work well together with ResearcherSkill for enhanced workflows:
Looking for a ResearcherSkill alternative? If you're comparing ResearcherSkill 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.
A collection of AI agent skills for Clawdbot, Claude Code, Codex
Jetpack Compose Agent Skill — AI-powered coding guidance with actual androidx/androidx source code receipts. W
Reusable project context and specialist workflows for the AI tools you already use. Agents, skills, rules and
Terminal session manager for AI coding agents. One TUI for Claude, Gemini, OpenCode, Codex, and more.
Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM
Run Claude Code, Codex, and Gemini side by side — each in its own git worktree
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: