Borrowing it
Nothing to install: this file belongs to taniwhaai/arai. 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/taniwhaai/arai/main/AGENTS.mdgit clone --depth 1 https://github.com/taniwhaai/araiWrote 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/taniwhaai/arai/agents-md)<a href="https://agentmods.dev/instructions/taniwhaai/arai/agents-md"><img src="https://agentmods.dev/badge/instructions/taniwhaai/arai/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/taniwhaai/arai/agents-md"><img src="https://agentmods.dev/badge/instructions/taniwhaai/arai/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 | $0.01211 | $0.01211 |
| Opus 5.5 | $0.00484 | $0.00484 |
| Sonnet 5.5 | $0.00242 | $0.00242 |
| Haiku 4.5 | $0.00121 | $0.00121 |
Grade A, and why
arai 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 1mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Arai
This file contains rules that AI coding agents must follow when working in this repository.
These rules exist because mistakes here are expensive (corrupting Taniwha build state, breaking compartmentalization invariants, etc.).
Core Discipline (Non-Negotiable)
- Always enter plan mode for any non-trivial task (3+ steps, architectural decisions, or anything that would benefit from user review before coding). Use the
enter_plan_modetool. - Never edit source files while in plan mode except for the plan file itself.
- Exit plan mode with
exit_plan_modeand present the plan for explicit user approval before making implementation changes. - Respect the current plan file as the single source of truth during any planning or implementation phase. Do not improvise outside it.
Taniwha / Subagent Rules
- When using the Taniwha compartmentalized build system (
.claude/skills/), always follow the documented process:- Use the orchestrator/dispatcher pattern for complex work.
- Dispatch the correct role subagents (design-doc, contract-derivation, leaf-implementation, composition, verifier).
- Never bypass phases (especially verification).
- Never manually mutate files under
.taniwha/kupu/except through the approved mechanisms (Kupu MCP tools when available, or the exact bash fallback scripts in.claude/skills/_shared/scripts/util/). - Always prefer Kupu MCP tools when available. When they are not, use the canonical bash scripts (
new_ulid.sh,now.sh,event_path.sh).
Work Style
- Plan first. Write plans to
tasks/todo.md(or the active session plan file) with checkable items before deep implementation. - Verify before claiming done. Run tests, benchmarks, and manual verification. Do not mark tasks complete until they actually work.
- Minimal impact. Only touch what is necessary. Challenge yourself: "Is there a more elegant way with less surface area?"
- After any correction from the user, update
tasks/lessons.mdwith the pattern and rules to prevent recurrence.
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.
- 1mo ago Changed · -5 lines · -129 tokens per session 35f70ea23244
- 1mo ago First seen · 72 lines · 1,340 tokens per session scan A 88db971919e8
arai AGENTS.md is an instructions file published in the GitHub repository taniwhaai/arai (7 stars, last pushed 7d ago), licensed Apache-2.0. It adds 1,211 tokens to every session, about $0.0048 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.