atlaspa

Automatically routes AI requests to cost-optimal models based on task complexity and budget, saving 30-50% on model expenses with adaptive learning.

Intelligently compresses and optimizes context to reduce token usage by 40-60%, using deduplication, pruning, summarization, and adaptive learning.

GitHub Action for automated security scanning of agent workspaces. Detects exposed secrets, prompt/shell injection, and data exfiltration patterns in PRs and commits.

Cryptographic skill verification. Sign installed skills with SHA-256 content hashes and verify they haven't been tampered with. Detects modified, added, and removed files within skill directories. Fre

Network data loss prevention for agent workspaces. Scans skills and files for outbound URLs, data exfiltration endpoints, suspicious domains, and network function calls. Maps every external connection