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 jagmarques · MCP Server · ★ 481
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is asqav-sdk safe to install? View the security audit →
The evidence layer for AI agents. Audit trails, approvals, policy gates, and compliance reports for every action. Website | Docs | SDK Guide | Compliance Asqav SDK - Python + TypeScript T
| Stars | 481 |
| Forks | 40 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 68.8272236139831/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-08 |
| Created | 2026-01-14 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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asqav-sdk is Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.. It is categorized as a MCP Server with 481 GitHub stars.
asqav-sdk is primarily written in Python. It covers topics such as ai-agent-governance, ai-agents, ai-compliance.
You can find installation instructions and usage details in the asqav-sdk GitHub repository at github.com/jagmarques/asqav-sdk. The project has 481 stars and 40 forks, indicating an active community.
The top alternatives to asqav-sdk on Agent Skills Hub include agent-kernel, tradememory-protocol, DeepMCPAgent. 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: