What is autotask-mcp AGENTS.md?

A set of AGENTS.md instructions for using Task Master AI in the autotask-mcp project. Task Master AI is a command-line task planner that can turn a product requirements document into tracked development tasks.

Use it to initialize Task Master, parse requirements, configure models, inspect or add tasks, expand tasks into subtasks, update task details, and change task statuses.

It gives an agent a defined workflow for setting up the project, finding the next task, breaking work into subtasks, updating tasks, and marking work complete.

How ThatDayneGuy/autotask-mcp configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to ThatDayneGuy/autotask-mcp. 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/ThatDayneGuy/autotask-mcp/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/ThatDayneGuy/autotask-mcp

Made for: Claude Code, 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/thatdayneguy/autotask-mcp/agents-md.svg)](https://agentmods.dev/instructions/thatdayneguy/autotask-mcp/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/thatdayneguy/autotask-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/thatdayneguy/autotask-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 3,246 This file is loaded in full into every session.

When invoked 3,246 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.03246	$0.03246
Opus 5	$0.01623	$0.01623
Sonnet 5	$0.00649	$0.00649
Haiku 4.5	$0.00325	$0.00325

Measured 7d ago against content hash e44969fd3421, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

autotask-mcp 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 7d 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.

Origin

This is a copy

100% identical to autotask-mcp AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 418 lines

How it starts

The opening of the file, as written. The whole thing — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Master AI - Agent Integration Guide

Essential Commands

Core Workflow Commands

# Project Setup
task-master init                                    # Initialize Task Master in current project
task-master parse-prd .taskmaster/docs/prd.txt      # Generate tasks from PRD document
task-master models --setup                        # Configure AI models interactively

# Daily Development Workflow
task-master list                                   # Show all tasks with status
task-master next                                   # Get next available task to work on
task-master show <id>                             # View detailed task information (e.g., task-master show 1.2)
task-master set-status --id=<id> --status=done    # Mark task complete

# Task Management
task-master add-task --prompt="description" --research        # Add new task with AI assistance
task-master expand --id=<id> --research --force              # Break task into subtasks
task-master update-task --id=<id> --prompt="changes"         # Update specific task
task-master update --from=<id> --prompt="changes"            # Update multiple tasks from ID onwards
task-master update-subtask --id=<id> --prompt="notes"        # Add implementation notes to subtask

# Analysis & Planning
task-master analyze-complexity --research          # Analyze task complexity
task-master complexity-report                      # View complexity analysis
task-master expand --all --research               # Expand all eligible tasks

# Dependencies & Organization
task-master add-dependency --id=<id> --depends-on=<id>       # Add task dependency
task-master move --from=<id> --to=<id>                       # Reorganize task hierarchy
task-master validate-dependencies                            # Check for dependency issues
task-master generate                                         # Update task markdown files (usually auto-called)

Key Files & Project Structure

Core Files

.taskmaster/tasks/tasks.json - Main task data file (auto-managed)
.taskmaster/config.json - AI model configuration (use task-master models to modify)
.taskmaster/docs/prd.txt - Product Requirements Document for parsing
.taskmaster/tasks/*.txt - Individual task files (auto-generated from tasks.json)
.env - API keys for CLI usage

Read the full file on GitHub · 418 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.

7d ago First seen · 418 lines · 3,246 tokens per session scan A e44969fd3421

Subscribe to this mod's changes

autotask-mcp AGENTS.md is an instructions file published in the GitHub repository ThatDayneGuy/autotask-mcp (0 stars, last pushed 6d ago), licensed Apache-2.0. It adds 3,246 tokens to every session, about $0.0162 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to autotask-mcp AGENTS.md, differing in 0 lines, and is treated as a copy.

Project management

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.

openai/codex · 5,153 tokens

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).

microsoft/vscode · 6,785 tokens

autotask-mcp: Instructions file for Claude Code