Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/lbb00/ai-rules-sync/agents-mdgit clone --depth 1 https://github.com/lbb00/ai-rules-syncWhat 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 | $0.01026 | $0.01026 |
| Opus 5 | $0.00513 | $0.00513 |
| Sonnet 5 | $0.00205 | $0.00205 |
| Haiku 4.5 | $0.00103 | $0.00103 |
Grade A, and why
ai-rules-sync AGENTS.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 2d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS instructions
Project Overview
AI Rules Sync (AIS) is a CLI tool for synchronizing, managing, and sharing AI agent rules across projects using symbolic links.
Tech Stack
- Language: TypeScript (strict mode)
- Build:
tsc(ES modules) - Test: Vitest
- CLI Framework: Commander.js
- Package Manager: pnpm
Key Features
- Multi-repository rule management (Cursor, Copilot, Claude, Trae)
- Symbolic link-based synchronization
- Shell tab completion (bash, zsh, fish)
- Plugin-based adapter architecture
Directory Structure
src/
├── adapters/ # Tool-specific adapters (cursor, copilot, claude, trae)
│ ├── base.ts # Base adapter factory
│ ├── types.ts # Adapter interfaces
│ └── index.ts # Adapter registry
├── commands/ # CLI command handlers
│ ├── handlers.ts # Core command logic (add, remove, link, unlink)
│ ├── install.ts # Install command
│ └── helpers.ts # Shared utilities
├── cli/
│ └── register.ts # CLI registration
├── completion/
│ └── scripts.ts # Shell completion scripts
├── config.ts # Global config (~/.config/ai-rules-sync/)
├── project-config.ts # Project config (ai-rules-sync.json)
├── sync-engine.ts # Symlink creation/removal
├── link.ts # Link utilities
├── git.ts # Git operations
├── utils.ts # Shared utilities
└── index.ts # Entry point
Development Commands
# Build TypeScript
npm run build
# Run tests (watch mode)
npm test
# Run tests once
npx vitest run
# Test CLI locally
node dist/index.js <command>
Code Style Guidelines
- TypeScript Strict Mode: All code must pass strict type checking
- Functional Programming: Prefer pure functions, avoid side effects where possible
- Testing Required: All new features must have tests in
src/__tests__/ - ES Modules: Use
.jsextension in imports for Node.js compatibility - Error Handling: Use descriptive error messages with chalk for CLI output
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.
- 2d ago First seen · 144 lines · 1,026 tokens per session scan A 93acb5cca15b
ai-rules-sync AGENTS.md is an instructions file published in the GitHub repository lbb00/ai-rules-sync (37 stars, last pushed 12d ago), licensed Unlicense. It adds 1,026 tokens to every session, about $0.0051 per session on Opus 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.
Other instructions, from other repositories
skill-memory AGENTS.md
AGENTS.md instructions for memodb-io/skill-memory, a project described as: agent skill as memory layer.
superpowers-zh CLAUDE.md
Instructions for jnMetaCode/superpowers-zh, covering superpowers — 贡献者指南, 如果你是 ai agent, pull request 要求, 我们不会接受的内容 and 第三方依赖.
awesome-copilot-id AGENTS.md
Instructions for GulajavaMinistudio/awesome-copilot-id, covering communication, explanation and documentation, markdown formatting, user communication style and workflow & methodology.
skill-buddy AGENTS.md
Instructions for konnga/skill-buddy, a project described as: AI Skills Buddy, A desktop workspace for managing, installing, and synchronizing Skills and MCP Servers across AI agents.
pixeltamer-gpt-image-skill CLAUDE.md
Instructions for gabelul/pixeltamer-gpt-image-skill, covering claude.md — pixeltamer, what this is, architecture, how the skill works and the two backends.
toon-memory AGENTS.md
Instructions for LuiggiVal08/toon-memory, covering agents.md, build & verify, architecture, smarter memory pattern and visual memory pattern.