qdash: Instructions file for Codex

AGENTS.md

qdash AGENTS.md is an instructions file for Codex, OpenCode from oqtopus-team/qdash. It costs 1,604 tokens per session, scanned A, original, Apache-2.0.

A project-specific instruction guide for QDash, a web platform that manages and monitors quantum-computer calibration workflows.

In plain words
What is it for?
Use it when making repository-wide or component-level changes in the QDash codebase.
Why use it?
It tells coding agents which architecture, documentation, testing guidance, and generated-code rules to follow.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

This is oqtopus-team/qdash's own configuration. It tells Codex and OpenCode how to work on qdash itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything qdash configures →

Reuse

Borrowing it

Nothing to install: this file belongs to oqtopus-team/qdash. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/oqtopus-team/qdash/develop/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/oqtopus-team/qdash

Made for: Codex, OpenCode.

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Per session 1,604 This file is loaded in full into every session.
When invoked 1,604 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01604 $0.01604
Opus 5.5 $0.00642 $0.00642
Sonnet 5.5 $0.00321 $0.00321
Haiku 4.5 $0.00160 $0.00160

Measured yesterday against content hash 0d1294e806c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qdash 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.

AGENTS.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QDash Agent Guide

This file is the Codex-facing project guide. Keep it concise and update it when repository-wide conventions change. The older CLAUDE.md is retained as a Claude Code reference, but Codex should use this file first.

Project Overview

QDash is a web platform for managing and monitoring qubit calibration workflows.

Architecture

  • Frontend: ui/ uses Next.js, React, TypeScript, DaisyUI, TanStack Query, and Bun.
  • Backend API: src/qdash/api/ uses FastAPI with MongoDB/PostgreSQL-related services.
  • Workflow engine: src/qdash/workflow/ uses Prefect 3 and qubex.
  • Shared data/model code lives under src/qdash/common, src/qdash/datamodel, src/qdash/dbmodel, and repository/service modules.

Read docs/developer-guide/architecture.md and the more specific docs under docs/developer-guide/ before making broad changes.

High-Value References

  • Setup: docs/developer-guide/setup.md
  • Development flow and commits: docs/developer-guide/development-flow.md
  • API design: docs/developer-guide/api/design.md
  • API testing: docs/developer-guide/api/testing.md
  • API endpoint testing: docs/developer-guide/api/testing-endpoints.md
  • UI guidelines: docs/developer-guide/ui/guidelines.md
  • UI architecture: docs/developer-guide/ui/architecture.md
  • UI testing: docs/developer-guide/ui/testing.md
  • UI design policy: docs/developer-guide/ui/design-policy.md
  • Workflow quickstart: docs/developer-guide/workflow/quickstart.md
  • Workflow architecture: docs/developer-guide/workflow/engine-architecture.md
  • Workflow testing: docs/developer-guide/workflow/testing.md
  • Documentation guidelines: docs/developer-guide/docs-guidelines.md
  • Database structure: docs/reference/database-structure.md
  • Database indexes: docs/reference/database-indexes.md

Generated Code

Do not manually edit generated files:

  • ui/src/client/
  • ui/src/schemas/
  • clients/typescript/src/generated/
  • docs/oas/openapi.json

Read the full file on GitHub · 127 lines

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. yesterday Changed · +1 lines · +31 tokens per session 0d1294e806c8
  2. 15d ago Changed · +1 lines · +14 tokens per session 4a75b3c222c5
  3. 1mo ago First seen · 125 lines · 1,559 tokens per session scan A eb493454217f

Subscribe to this mod's changes

qdash AGENTS.md is an instructions file published in the GitHub repository oqtopus-team/qdash (54 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,604 tokens to every session, about $0.0064 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 2026-09-03.

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