askdb AGENTS.md

Repository instructions for AskDB, an application with an Express server, React dashboard, database packages, an MCP server, a command-line tool, and Docker-based sandboxes. They specify how to install, run, test, and organize the project.

In plain words
What is it for?
Use them when developing, testing, or navigating AskDB, especially its server, dashboard, shared database code, synchronisation adapters, MCP tools, or command-line interface.
Why use it?
They give a coding agent the project's structure and operating rules, including its package manager, runtime version, database approach, and security boundaries. This reduces the risk of editing the wrong layer or exposing direct database access.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/mgorabbani/askdb/agents-md
Clone the repo
git clone --depth 1 https://github.com/mgorabbani/askdb

Made for: Codex, OpenCode.

Per session 204 This file is loaded in full into every session.
When invoked 204 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00204 $0.00204
Opus 5 $0.00102 $0.00102
Sonnet 5 $0.00041 $0.00041
Haiku 4.5 $0.00020 $0.00020

Measured 2d ago against content hash 04e8d1d986e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

askdb 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.

AGENTS.md · 36 lines

What it actually says

Agent Guidelines

Environment

  • Use pnpm for everything
  • Node.js 22+
  • Use latest stable versions of all libraries

How to Run

pnpm install
pnpm dev          # starts server + vite dev middleware on http://localhost:3100
pnpm build        # production build

Requires Docker running for sandbox containers.

Project Structure

server/         → Express API + MCP server (src/index.ts)
ui/             → React dashboard (Vite + TypeScript)
packages/
  shared/       → DB schema (Drizzle/SQLite), adapters, sync logic, memory system
  mcp-server/   → MCP protocol tools
cli/            → CLI entry point

Code Style

  • Comments explain why, not what
  • Don't add comments on self-explaining code
  • Follow existing patterns in the codebase
  • Keep it concise — no boilerplate, no over-abstraction
Changes

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.

  1. 2d ago First seen · 36 lines · 204 tokens per session scan A 04e8d1d986e9

Subscribe to this mod's changes

askdb AGENTS.md is an instructions file published in the GitHub repository mgorabbani/askdb (73 stars, last pushed 2mo ago), licensed MIT. It adds 204 tokens to every session, about $0.0010 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.