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 aws · Agent Tool · ★ 766
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bedrock-agentcore-sdk-python safe to install? View the security audit →
Bedrock AgentCore SDK Deploy your local AI agent to Bedrock AgentCore with zero infrastructure <a href="https://docs.aws.amazon
| Stars | 766 |
| Forks | 150 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.0954091709111/100 |
| Open Issues | 122 |
| Last Updated | 2026-09-22 |
| Created | 2025-07-07 |
| Platforms | aws, python |
| Est. Tokens | ~15k |
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bedrock-agentcore-sdk-python is Python SDK for transforming any AI agent into a production-ready application. Framework-agnostic primitives for runtime, memory, authentication, and tools with AWS-managed infrastructure.. It is categorized as a Agent Tool with 766 GitHub stars.
bedrock-agentcore-sdk-python is primarily written in Python.
You can find installation instructions and usage details in the bedrock-agentcore-sdk-python GitHub repository at github.com/aws/bedrock-agentcore-sdk-python. The project has 766 stars and 150 forks, indicating an active community.
bedrock-agentcore-sdk-python is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to bedrock-agentcore-sdk-python on Agent Skills Hub include raptor, playwright-skill, chinese-novelist-skill. 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: