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 zoharbabin · Agent Tool · ★ 78
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is due-diligence-agents safe to install? View the security audit →
Due Diligence Agents Legal flags a risk. Finance flags another. We connect and cite. Open-source forensic M&A due diligence — 13 AI agents read your entire data room across 9 domains, cross-reference findings no single reviewer connects, and trace every one to an exact page and quote. <a href="https://hub.docker.com/r/
| Stars | 78 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.751688787322/100 |
| Open Issues | 12 |
| Last Updated | 2026-08-08 |
| Created | 2026-02-22 |
| Platforms | claude-code, python |
| Est. Tokens | ~19k |
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due-diligence-agents is Legal flags a risk. Finance flags another. We connect and cite. Open-source forensic M&A due diligence: 13 AI agents read your data room across 9 domains (Legal, Finance, Commercial, Tech, Cyber, HR, . It is categorized as a Agent Tool with 78 GitHub stars.
due-diligence-agents is primarily written in Python. It covers topics such as ai-agents, anthropic, claude.
You can find installation instructions and usage details in the due-diligence-agents GitHub repository at github.com/zoharbabin/due-diligence-agents. The project has 78 stars and 19 forks, indicating an active community.
due-diligence-agents is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to due-diligence-agents on Agent Skills Hub include agent-second-brain, Wazuh-MCP-Server, legal-ai-agent. 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: