Borrowing it
Nothing to install: this file belongs to Hive-Academy/Anubis-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Hive-Academy/Anubis-MCP/main/.github/instructions/Anubis_Project.instructions.mdgit clone --depth 1 https://github.com/Hive-Academy/Anubis-MCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/hive-academy/anubis-mcp/anubis_project)<a href="https://agentmods.dev/instructions/hive-academy/anubis-mcp/anubis_project"><img src="https://agentmods.dev/badge/instructions/hive-academy/anubis-mcp/anubis_project/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/hive-academy/anubis-mcp/anubis_project"><img src="https://agentmods.dev/badge/instructions/hive-academy/anubis-mcp/anubis_project.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02108 | $0.02108 |
| Opus 5.5 | $0.00843 | $0.00843 |
| Sonnet 5.5 | $0.00422 | $0.00422 |
| Haiku 4.5 | $0.00211 | $0.00211 |
Grade A, and why
Anubis_Project scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anubis Project AI Development Rules
Core Architecture Principles
Domain-Driven Design (DDD)
- MANDATORY: Organize code by business domains, not technical layers
- Structure:
/src/task-workflow/domains/{domain-name}/for each business domain - Separation: Keep core business services separate from MCP interface tools
- Example: Core services in
core-workflow/exported to MCP tools inworkflow-rules/
Module Organization
- NestJS Modules: One module per domain with clear imports/exports
- Dependency Injection: Use NestJS DI container, avoid manual instantiation
- Module Exports: Export only what other modules need to consume
- Clean Imports: Import PrismaModule in domains that need database access
Service Layer Architecture
- Service Responsibility: One service per business capability
- Naming Convention:
{Domain}OperationsServicefor core business logic - MCP Separation: Keep MCP tools thin, delegate to operation services
- Service Dependencies: Inject dependencies via constructor, use readonly
TypeScript & Code Quality
Type Safety Rules
- Strict Mode: Always use TypeScript strict mode settings
- Explicit Types: Prefer explicit return types for public methods
- No Any: Avoid
anytype unless absolutely necessary (ESLint rule enabled) - Null Safety: Use strictNullChecks, handle null/undefined explicitly
- Interface First: Define interfaces before implementation
Code Style & Formatting
- Prettier: Use configured Prettier for consistent formatting
- ESLint Rules: Follow configured TypeScript ESLint rules
- Unused Variables: Prefix unused parameters with
_(ESLint rule) - Import Organization: Group imports: Node modules → NestJS → Internal → Relative
Error Handling
- Global Exception Filter: Use established GlobalExceptionFilter pattern
- Prisma Errors: Use prisma-error.handler for database error translation
- Logging: Use NestJS Logger with structured logging format
- MCP Debugging: Include context and timestamp in MCP error logs
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 253 lines · 2,108 tokens per session scan A 9dea4579a9e8
Anubis_Project is an instructions file published in the GitHub repository Hive-Academy/Anubis-MCP (125 stars, last pushed 1y ago), licensed MIT. It adds 2,108 tokens to every session, about $0.0084 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Anubis_Project compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Anubis_ProjectHive-Academy/Anubis-MCP | Instructions file | 125 | 1y ago | MIT | A | 2,108 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |