agent-dashboard AGENTS.md

agent-dashboard AGENTS.md is an instructions file for Codex, OpenCode from dustinblack/agent-dashboard. It costs 892 tokens per session, scanned A, original, Apache-2.0.

A project instruction file for an AI coding agent working on Agent Dashboard, a web application with a Python FastAPI backend and a React frontend.

In plain words
What is it for?
Use it when changing the Agent Dashboard codebase so Python, React, database, authentication, deployment, and formatting work follow the project's stated conventions.
Why use it?
It gives the agent the project's technology choices, coding rules, documentation expectations, and error-handling standards.

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/dustinblack/agent-dashboard/agents-md
Clone the repo
git clone --depth 1 https://github.com/dustinblack/agent-dashboard

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for agent-dashboard AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dustinblack/agent-dashboard/agents-md.svg)](https://agentmods.dev/instructions/dustinblack/agent-dashboard/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/dustinblack/agent-dashboard/agents-md"><img src="https://agentmods.dev/badge/instructions/dustinblack/agent-dashboard/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 892 This file is loaded in full into every session.
When invoked 892 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 $0.00892 $0.00892
Opus 5 $0.00446 $0.00446
Sonnet 5 $0.00178 $0.00178
Haiku 4.5 $0.00089 $0.00089

Measured 5d ago against content hash cd0a789579d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-dashboard 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 5d 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 · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Behavior & Standards for Agent Dashboard

This document establishes the baseline behavior and technical standards for AI agents collaborating on the Agent Dashboard project.

Inspiration

This project is inspired by the following blog post:

Core Technical Stack

  • Backend: Python 3.9+ with FastAPI and python-socketio.
  • Frontend: React (TypeScript) via Vite, xterm.js, and socket.io-client.
  • Database: SQLite with SQLAlchemy ORM.
  • Authentication: OIDC/OAuth for UI users; Static API Keys (Machine Tokens) for agents.
  • Deployment: OCI containers (Podman/Docker) using compose.
  • Integration: Python wrapper script using pty or pexpect.

Coding Standards

Python

  • Formatting: Use black for formatting.
  • Linting: Adhere to flake8 and pylint standards.
  • Documentation: Use Google-style docstrings. Be verbose with documentation for new functions.
  • Error Handling: Implement robust error handling and logging in all new functions.
  • Style: Max line length of 88 characters.

Frontend (React/TypeScript)

  • Formatting: Use prettier.
  • Linting: Use eslint with project-specific configurations.
  • Language: Use TypeScript for all new components and logic.
  • Styling: Use Tailwind CSS v4 utility classes. Custom CSS should only be used for overrides that Tailwind cannot express (e.g., third-party component styling).

Workflow & Safety

Research & Strategy

  • Research Phase: Systematically map the codebase and validate assumptions. Prioritize empirical reproduction of issues.
  • Strategy Phase: Share a concise summary of the strategy before execution.
  • Plan Mode: Use enter_plan_mode for architectural changes, new features, or complex refactoring.

Execution & Validation

  • Atomic Changes: Keep changes surgical and focused on the sub-task.
  • Testing: Every change must include verification logic (e.g., unit tests, integration tests, or reproduction scripts).
  • Validation: Run project-specific build, lint, and test commands before finalizing.

Read the full file on GitHub · 68 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. 5d ago First seen · 68 lines · 892 tokens per session scan A cd0a789579d2

Subscribe to this mod's changes

agent-dashboard AGENTS.md is an instructions file published in the GitHub repository dustinblack/agent-dashboard (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 892 tokens to every session, about $0.0045 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.

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