Borrowing it
Nothing to install: this file belongs to vanrayliu/openallin. 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/vanrayliu/openallin/main/AGENTS.mdgit clone --depth 1 https://github.com/vanrayliu/openallinWrote 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/vanrayliu/openallin/agents-md)<a href="https://agentmods.dev/instructions/vanrayliu/openallin/agents-md"><img src="https://agentmods.dev/badge/instructions/vanrayliu/openallin/agents-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/vanrayliu/openallin/agents-md"><img src="https://agentmods.dev/badge/instructions/vanrayliu/openallin/agents-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 | $0.01524 | $0.01524 |
| Opus 5.5 | $0.00610 | $0.00610 |
| Sonnet 5.5 | $0.00305 | $0.00305 |
| Haiku 4.5 | $0.00152 | $0.00152 |
Grade A, and why
openallin 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 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAllIn — Unified AI Coding Harness
A layered, composable engineering framework combining the best of OpenSpec, Superpowers, GSD, OMC, ECC, and Trellis.
Architecture
OpenAllIn uses a layered, composable design where each layer is independently optional and freely combinable:
┌─────────────────────────────────────────────────┐
│ Layer 6: Workspace — Project Memory & │ ← Trellis
│ Parallel Pipeline │
├─────────────────────────────────────────────────┤
│ Layer 5: Orchestration — Multi-Agent Team │ ← OMC
│ Coordination │
├─────────────────────────────────────────────────┤
│ Layer 4: Execution — Phase-Based Workflow & │ ← GSD
│ Context Engineering │
├─────────────────────────────────────────────────┤
│ Layer 3: Enhancement — Security / Memory / │ ← ECC
│ Learning / Verification │
├─────────────────────────────────────────────────┤
│ Layer 2: Skills — Engineering Methodology │ ← Superpowers
│ Library │
├─────────────────────────────────────────────────┤
│ Layer 1: Spec — Spec-Driven Development │ ← OpenSpec
└─────────────────────────────────────────────────┘
Core Principles
- Spec First — Align on requirements before writing code
- Engineering Discipline — Make best practices the default behavior
- Context Hygiene — Small tasks, phase separation, structured information
- Team Orchestration — Multiple agents collaborate like a real team
- Capability Enhancement — Security, memory, learning, verification loops
- Project Memory — File-based persistence over LLM memory
Installation
Quick Install
# Clone and install
git clone https://github.com/vanrayliu/openallin.git
cd openallin
bash scripts/install.sh opencode # For OpenCode
bash scripts/install.sh claude # For Claude Code
bash scripts/install.sh all # For all tools
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 · 183 lines · 1,524 tokens per session scan A 1e8f2dd0c388
openallin AGENTS.md is an instructions file published in the GitHub repository vanrayliu/openallin (11 stars, last pushed 6mo ago), licensed MIT. It adds 1,524 tokens to every session, about $0.0061 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.
openallin AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| openallin AGENTS.mdvanrayliu/openallin | Instructions file | 11 | 6mo ago | MIT | A | 1,524 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |