by DiscovAI · Agent Tool · ★ 286
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/DiscovAI/DiscovAI-search
Taken from the project's README on GitHub.
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 | 286 |
| Forks | 32 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Open Issues | 3 |
| Last Updated | 2024-08-08 |
| Created | 2024-07-30 |
| Platforms | node |
| Est. Tokens | ~66k |
DiscovAI An AI-powered search engine for AI tools, or your own data. https://github.com/user-attachments/assets/2cdc92d0-d0c9-4098-8166-260e973783f0 Please feel free to contact me on Twitter or create an issue if you have any questions.
These tools work well together with DiscovAI-search for enhanced workflows:
Looking for a DiscovAI-search alternative? If you're comparing DiscovAI-search 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.
Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent t
ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloa
A curated collection of AI tools, utilities, and resources for developers and creators
Redis Vector Library. The AI-native Python client for Redis.
An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for
A curated, comprehensive collection of open-source AI tools, frameworks, datasets, courses, and seminal papers
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: