No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by FractalAIResearchLabs · Agent Tool · ★ 63
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Fathom-DeepResearch safe to install? View the security audit →
Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval And Synthesis For SLMs -
| Stars | 63 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.5961461684685/100 |
| Open Issues | 2 |
| Last Updated | 2025-10-07 |
| Created | 2025-09-09 |
| Platforms | browser, python |
| Est. Tokens | ~2022k |
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Fathom-DeepResearch is Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval And Synthesis For SLMs. It is categorized as a Agent Tool with 63 GitHub stars.
Fathom-DeepResearch is primarily written in Python. It covers topics such as agent, artificial-intelligence, deep-search.
You can find installation instructions and usage details in the Fathom-DeepResearch GitHub repository at github.com/FractalAIResearchLabs/Fathom-DeepResearch. The project has 63 stars and 11 forks, indicating an active community.
Fathom-DeepResearch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Fathom-DeepResearch on Agent Skills Hub include VT.ai, LiteMultiAgent, oreilly-ai-agents. 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.
Sources & who's responsible: