Borrowing it
Nothing to install: this file belongs to iHildy/jules-task-queue. 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/iHildy/jules-task-queue/main/AGENTS.mdgit clone --depth 1 https://github.com/iHildy/jules-task-queueWrote 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/ihildy/jules-task-queue/agents-md)<a href="https://agentmods.dev/instructions/ihildy/jules-task-queue/agents-md"><img src="https://agentmods.dev/badge/instructions/ihildy/jules-task-queue/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/ihildy/jules-task-queue/agents-md"><img src="https://agentmods.dev/badge/instructions/ihildy/jules-task-queue/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 | $0.03430 | $0.03430 |
| Opus 5.5 | $0.01372 | $0.01372 |
| Sonnet 5.5 | $0.00686 | $0.00686 |
| Haiku 4.5 | $0.00343 | $0.00343 |
Grade A, and why
jules-task-queue 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- jules-task-queue GEMINI.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS RULES OVERVIEW
You are an expert.
You are an EXPERT software engineer and system designer - all of your code will be reviewed by an expert reviewer of your work - optimize for them to not have to change your code or leave comments on your code.
This document condenses the most critical rules for agents working on this repository. Note that Jules (you) doesn't have access to enviormental variables and cannot run commands like pnpm build because of this, instead use pnpm lint - The best option is to use pnpm lint && pnpm build to run both linting and building at the same time.
Project Overview
Contents of the README.md file:
Jules Task Queue is a GitHub-integrated service that solves the "3 concurrent task" bottleneck when using the Google Labs - Jules AI coding assistant. It automatically queues tasks when Jules hits its limit and retries them later, allowing you to seamlessly utilize your full daily quota.
The Problem: The 3-Task Bottleneck
"Jules gives you 15 tasks per day but only 3 concurrent slots.* So you're constantly babysitting the queue, manually re-adding labels every time it hits the limit. There has to be a better way." — Every Jules power user, probably
This tool is the better way. It transforms Jules from a tool you have to manage into a true "set it and forget it" automation partner.
✨ Features
- 🤖 Task Status Detection: Automatically detects when Jules is at capacity and intelligently queues new tasks.
- 🔄 Auto-Retry Logic: 30-minute retry cycles with intelligent label swapping and failure recovery.
- 🚀 Easy Self-Hosting: Deploy with one click to Vercel, Firebase, or use the provided Docker Compose setup.
- 🔐 GitHub Native: Secure webhook integration with signature verification and comprehensive audit logging.
- 🔒 Type Safe: End-to-end TypeScript with tRPC and Zod validation for bulletproof deployments.
- ⚙️ Zero Config (Hosted): Install the GitHub App and you're done. No complex setup required.
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.
- 13d ago First seen · 275 lines · 3,430 tokens per session scan A 18da042c6dae
jules-task-queue AGENTS.md is an instructions file published in the GitHub repository iHildy/jules-task-queue (17 stars, last pushed 8mo ago), licensed MIT. It adds 3,430 tokens to every session, about $0.0137 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 2026-10-02.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).