by alvinreal · Agent Tool · ★ 2.2k
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. 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.
| Stars | 2,211 |
| Forks | 166 |
| Category | Agent Tool |
| Quality Score | 52/100 |
| Open Issues | 13 |
| Last Updated | 2026-06-16 |
| Created | 2026-03-20 |
| Platforms | claude-code |
| Est. Tokens | ~14k |
🔬 Awesome Autoresearch A curated, high-signal index of autonomous improvement loops, research agents, and descendants inspired by karpathy/autoresearch. by Boring Dystopia Development Contents 🛠️ General-purpose descendants 🔬 Research-agent systems 💻 Platform ports and hardware forks 🎯 Domain-specific adaptations [📊 Evaluation & benchmar
These tools work well together with awesome-autoresearch for enhanced workflows:
Looking for a awesome-autoresearch alternative? If you're comparing awesome-autoresearch with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Ka
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Ka
Curated list of AutoResearch use cases with optimization traces and open source implementations
Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with gradin
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then run
🦞+🔬 NanoResearch: The Autonomous AI Research Assistant
Explore other popular agent tool 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: