Borrowing it
Nothing to install: this file belongs to ManddarinShop/Hikoutei. 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/ManddarinShop/Hikoutei/main/AGENTS.mdgit clone --depth 1 https://github.com/ManddarinShop/HikouteiWrote 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/manddarinshop/hikoutei/agents-md)<a href="https://agentmods.dev/instructions/manddarinshop/hikoutei/agents-md"><img src="https://agentmods.dev/badge/instructions/manddarinshop/hikoutei/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/manddarinshop/hikoutei/agents-md"><img src="https://agentmods.dev/badge/instructions/manddarinshop/hikoutei/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 | $0.03709 | $0.03709 |
| Opus 5 | $0.01854 | $0.01854 |
| Sonnet 5 | $0.00742 | $0.00742 |
| Haiku 4.5 | $0.00371 | $0.00371 |
Grade A, and why
Hikoutei 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 yesterday.
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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project
Hikoutei (npm/import name hikoutei) is a TypeScript library that uses a local
SQLite entity store as the application authority and exposes Google Sheets as
an asynchronous human-facing projection for MVP apps, internal tools,
prototypes, and low-traffic admin workflows.
Use this positioning:
Typed repository and safe write layer for Google Sheets-backed MVPs.
Do not describe the project as a database replacement, a Prisma/JPA clone, a general-purpose Google Sheets API wrapper, or a transaction-safe database on top of Sheets. SQLite is the authority; Sheets is an async projection and human input surface, not the source of truth.
The authoritative design lives in docs/architecture.md,
docs/write-and-synchronization-flow.md,
docs/internal-consistency-model.md, and
docs/code-guidelines.md. Note that docs/ (like
design/) is gitignored and local-only — it is not tracked or shipped — so
those links resolve only in local checkouts; keep source consistent with the
documents when present.
Public API direction
The public API is an entity-lifecycle EntityManager modeled on the MikroORM/JPA
workflow. Applications define entities with defineTypedSheetsEntity() and open
the runtime with createTypedSheets(), then use a request-local manager for
fork(), create(), find(), findOne(), count(), findAndCount(),
persist(), remove(), flush(), and transactional():
import { createTypedSheets, defineTypedSheetsEntity } from "hikoutei";
const User = defineTypedSheetsEntity({
name: "User",
tableName: "users",
properties: { id: { type: "string", primary: true }, name: { type: "string" } },
});
const hikoutei = await createTypedSheets({ dbName: "./hikoutei.sqlite", entities: [User] });
const em = hikoutei.em.fork();
const user = em.create(User, { id: "u1", name: "Ada" });
em.persist(user);
await em.flush();
user.name = "Ada Lovelace";
await em.flush();
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.
- yesterday Changed · +3 lines · +67 tokens per session fef91ad02bf7
- 8d ago First seen · 339 lines · 3,642 tokens per session scan A 2c6aa52e79cf
Hikoutei AGENTS.md is an instructions file published in the GitHub repository ManddarinShop/Hikoutei (1 stars, last pushed yesterday), licensed MIT. It adds 3,709 tokens to every session, about $0.0185 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 2026-08-31.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.