asqav-sdk: Python and TypeScript SDKs for verifiable evidence of AI agent actions

by jagmarques · MCP Server · ★ 564

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install asqav-sdk

npm install @asqav/sdk

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

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. Full audit →

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.

ai-agent-governanceai-agentsai-complianceai-governanceai-securityaudit-trailcompliancecrewaidoraeu-ai-act

Quick Facts

Stars564
Forks30
LanguagePython
CategoryMCP Server
Quality Score68/100
Last Updated2026-10-24
Created2026-01-14
Platformsmcp, python
Est. Tokens~17k

About asqav-sdk

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

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How this security grade is produced

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:

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