Anubis
Anubis is an intelligent AI workflow orchestration system built by Hive Academy that transforms chaotic AI coding sessions into structured, multi-role workflows with perfect context retention. The system implements a sophisticated role-based architecture where AI agents transition between specialized roles (Boomerang orchestrator, Architect designer, Senior Developer implementer, Code Review validator, and Integration Engineer) with each role having defined responsibilities, capabilities, and transition criteria. Built on NestJS with Prisma and SQLite, it provides comprehensive task management, subtask creation with dependency tracking, research report generation, code review workflows, and completion reporting, while maintaining detailed execution state and progress tracking throughout the entire development lifecycle.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/hive-academy/anubis-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Anubis from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.