Borrowing it
Nothing to install: this file belongs to chiruu12/Hive. 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/chiruu12/Hive/main/CLAUDE.mdgit clone --depth 1 https://github.com/chiruu12/HiveWrote 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/chiruu12/hive/claude-md)<a href="https://agentmods.dev/instructions/chiruu12/hive/claude-md"><img src="https://agentmods.dev/badge/instructions/chiruu12/hive/claude-md/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/chiruu12/hive/claude-md"><img src="https://agentmods.dev/badge/instructions/chiruu12/hive/claude-md.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 | $0.02312 | $0.02312 |
| Opus 5.5 | $0.00925 | $0.00925 |
| Sonnet 5.5 | $0.00462 | $0.00462 |
| Haiku 4.5 | $0.00231 | $0.00231 |
Grade A, and why
Hive CLAUDE.md 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hive Development
Project Overview
Hive is a local-first agent operating system. Users spawn persistent AI agents via CLI that collaborate, write code, and use tools autonomously. Config-driven with YAML agent profiles, multi-model support (Anthropic, OpenAI, Fireworks, Ollama, LM Studio), and built-in safety via workspace isolation.
Architecture
src/hive/
├── cli/ # Typer CLI (commands map 1:1 to user actions)
├── daemon/ # Background service (lifecycle, heartbeat loop, diagnostics)
├── agents/ # Agent profiles, state, suffering, identity, delegation
├── runtime/ # Standalone agent framework (ReAct loop, tools)
├── memory/ # Persistence (SQLite store, JSONL events, semantic memory)
├── models/ # Model providers (Anthropic, OpenAI, Groq, etc.), registry, factory
├── interactions/ # Multi-agent interaction patterns (round-table, pairs, freeform)
├── world/ # Simulated economy (jobs, skills, finances, life events)
├── logging/ # Structured run logs (decisions, tools, goals, suffering)
├── mcp/ # MCP client and server
├── server/ # REST API (FastAPI) -- optional [api] extra (hive serve)
├── checkpoint.py # Save/restore agent state snapshots
├── api.py # Programmatic Python API (Hive facade class)
└── config.py # Config loading (YAML + env vars)
Tech Stack
- Language: Python 3.11+
- CLI: Typer + Rich (terminal UI)
- Async: asyncio (concurrent agent execution)
- Database: SQLite via aiosqlite
- LLM: anthropic SDK, OpenAI SDK (also for Fireworks, Ollama, LM Studio)
- Packaging: uv, pyproject.toml
- Testing: pytest + pytest-asyncio
Code Conventions
Architecture Principles
- Config-driven: Agent behavior defined in YAML, not hardcoded
- OOP for entities: Agent, Task, Room, Tool are classes with clear interfaces
- FP for data transforms: Pure functions for parsing, routing, formatting
- Protocol classes: Use Python Protocols for model providers, tool executors
- Dependency injection: Components receive dependencies, don't create them
- Single responsibility: Each module does one thing well
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 · 186 lines · 2,312 tokens per session scan A 83bfb6de2a3a
Hive CLAUDE.md is an instructions file published in the GitHub repository chiruu12/Hive (5 stars, last pushed 2mo ago), licensed MIT. It adds 2,312 tokens to every session, about $0.0092 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 2026-08-31.
Hive CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Hive CLAUDE.mdchiruu12/Hive | Instructions file | 5 | 2mo ago | MIT | A | 2,312 | Claude Code |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |