Borrowing it
Nothing to install: this file belongs to asta-nguyen/kamehadb. 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/asta-nguyen/kamehadb/main/AGENTS.mdgit clone --depth 1 https://github.com/asta-nguyen/kamehadbWrote 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/asta-nguyen/kamehadb/agents-md)<a href="https://agentmods.dev/instructions/asta-nguyen/kamehadb/agents-md"><img src="https://agentmods.dev/badge/instructions/asta-nguyen/kamehadb/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/asta-nguyen/kamehadb/agents-md"><img src="https://agentmods.dev/badge/instructions/asta-nguyen/kamehadb/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 | $0.06445 | $0.06445 |
| Opus 5 | $0.03223 | $0.03223 |
| Sonnet 5 | $0.01289 | $0.01289 |
| Haiku 4.5 | $0.00645 | $0.00645 |
Grade A, and why
kamehadb 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 9d 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 — 525 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance for coding agents working in this repository.
Project Overview
KamehaDB is a local-first database GUI centered on a Tauri desktop app plus a local Node sidecar. The current app supports PostgreSQL, MySQL, SQLite, MongoDB, Redis, Qdrant, SQL Server, Oracle, ClickHouse, DuckDB, MariaDB, and TigerBeetle. It includes schema browsing, a Monaco SQL editor, query history, PostgreSQL stats views, schema timeline/diff workflows, Redis/Mongo/Qdrant/TigerBeetle explorers, embedded PostgreSQL and Mongo shells, PostgreSQL backup/restore flows, pgvector exploration tools, an in-app logs viewer, and an AI chat panel with schema-aware context.
There is also a separate marketing/docs site in landing/, but it is not part of the pnpm workspace used by the desktop app and sidecar.
Repository Layout
├── apps/
│ ├── desktop/ # Tauri v2 + React 19 desktop app
│ └── sidecar/ # Hono HTTP server + DB adapters + metadata SQLite
├── packages/
│ ├── shared/ # Shared Zod schemas, app state types, adapter contracts
│ └── ui/ # Shared UI utilities/components
├── landing/ # Separate Next.js marketing site (not in pnpm workspace)
├── docker-compose.yml # Local dev databases
└── docker-init/ # Seed SQL for Postgres/MySQL/MariaDB
Workspace And Package Boundaries
- The pnpm workspace includes only
apps/*andpackages/*. landing/has its ownpackage-lock.jsonand is managed separately with npm.- Most root scripts target the pnpm workspace only. Do not assume they affect
landing/unless they explicitly usenpm --prefix landing. - Landing site image generation: use
node scripts/capture-images.mjsto update the AI Compare panel screenshots inpublic/images/. - Landing animated OG image: use
npm --prefix landing run render:ogto regeneratepublic/og-animated.gif(requiresffmpeg-static, runs locally — not a Vercel runtime route).
Commands
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.
- 9d ago First seen · 525 lines · 6,445 tokens per session scan A e283a7728112
kamehadb AGENTS.md is an instructions file published in the GitHub repository asta-nguyen/kamehadb (14 stars, last pushed 8d ago), licensed Apache-2.0. It adds 6,445 tokens to every session, about $0.0322 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
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.