by atlas-bear · Agent Tool · ★ 95
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 | 95 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | CC-BY-4.0 |
| Quality Score | 57/100 |
| Last Updated | 2026-10-14 |
| Created | 2025-06-29 |
| Platforms | python |
| Est. Tokens | ~25k |
AI-Enhanced OSINT: A Practical Guide for Illicit Trade Intelligence Part of the Atlas Bear Labs intelligence methodology Intelligence Toolkit Integration: OSINT Tools - Maritime and supply chain intelligence gathering tools Recommended Reading - Essential reading on illicit trade and intelligence analysis Supply Chain Tools - Open source management solutions for emerging markets MARA Platform -...
Looking for a osint-ai-guide alternative? If you're comparing osint-ai-guide 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.
Enhances construction site safety using YOLO for object detection, identifying hazards like workers without he
Local Lens is a privacy-first, AI-powered photo organizer for your PC. Sort and group photos by faces, dates,
SkillX: Automatically Constructing Skill Knowledge Bases for Agents
Home of the AI workforce - Multi-agent system, AI agents & tools
HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve
Open-source calculator for LLM system requirements.
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: