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.
npx agentmods add rules/marctheshark3/ergo-mcp/taskmastergit clone --depth 1 https://github.com/marctheshark3/ergo-mcpWrote 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/rules/marctheshark3/ergo-mcp/taskmaster)<a href="https://agentmods.dev/rules/marctheshark3/ergo-mcp/taskmaster"><img src="https://agentmods.dev/badge/rules/marctheshark3/ergo-mcp/taskmaster.svg" alt="Measured on agentmods" 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 | $0.07555 | $0.07555 |
| Opus 5 | $0.03778 | $0.03778 |
| Sonnet 5 | $0.01511 | $0.01511 |
| Haiku 4.5 | $0.00756 | $0.00756 |
Grade B, and why
taskmaster scanned grade B with 1 finding 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 3d 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.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
**Set API keys** in your **`.env`** file in the project root (for CLI use) or within the `env` section of your **`.cursor/mcp.json`** file (for MCP/Cursor integration). All other settings (model choice, max tokens, tempe This is a copy
88% identical to taskmaster — 239 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.
How it starts
The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
description: Comprehensive reference for Taskmaster MCP tools and CLI commands. globs: */ alwaysApply: true
Taskmaster Tool & Command Reference
This document provides a detailed reference for interacting with Taskmaster, covering both the recommended MCP tools, suitable for integrations like Cursor, and the corresponding task-master CLI commands, designed for direct user interaction or fallback.
Note: For interacting with Taskmaster programmatically or via integrated tools, using the MCP tools is strongly recommended due to better performance, structured data, and error handling. The CLI commands serve as a user-friendly alternative and fallback.
Important: Several MCP tools involve AI processing... The AI-powered tools include parse_prd, analyze_project_complexity, update_subtask, update_task, update, expand_all, expand_task, and add_task.
Initialization & Setup
1. Initialize Project (init)
- MCP Tool:
initialize_project - CLI Command:
task-master init [options] - Description:
Set up the basic Taskmaster file structure and configuration in the current directory for a new project. - Key CLI Options:
--name <name>:Set the name for your project in Taskmaster's configuration.--description <text>:Provide a brief description for your project.--version <version>:Set the initial version for your project, e.g., '0.1.0'.-y, --yes:Initialize Taskmaster quickly using default settings without interactive prompts.
- Usage: Run this once at the beginning of a new project.
- MCP Variant Description:
Set up the basic Taskmaster file structure and configuration in the current directory for a new project by running the 'task-master init' command. - Key MCP Parameters/Options:
projectName:Set the name for your project.(CLI:--name <name>)projectDescription:Provide a brief description for your project.(CLI:--description <text>)projectVersion:Set the initial version for your project, e.g., '0.1.0'.(CLI:--version <version>)authorName:Author name.(CLI:--author <author>)skipInstall:Skip installing dependencies. Default is false.(CLI:--skip-install)addAliases:Add shell aliases tm and taskmaster. Default is false.(CLI:--aliases)yes:Skip prompts and use defaults/provided arguments. Default is false.(CLI:-y, --yes)
- Usage: Run this once at the beginning of a new project, typically via an integrated tool like Cursor. Operates on the current working directory of the MCP server.
- Important: Once complete, you MUST parse a prd in order to generate tasks. There will be no tasks files until then. The next step after initializing should be to create a PRD using the example PRD in scripts/example_prd.txt.
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.
- 3d ago First seen · 383 lines · 7,555 tokens per session scan B eb10c4eacf41
taskmaster is a cursor rule published in the GitHub repository marctheshark3/ergo-mcp (3 stars, last pushed 1y ago), licensed MIT. It adds 7,555 tokens to every session, about $0.0378 per session on Opus 5. A static security scan graded it B with 1 finding (reads mcp configuration). It is 88% identical to taskmaster, differing in 239 lines, and is treated as a copy.
Other cursor rules, from other repositories
development-workflow
AAMAD modular development workflow for context-aware agent coordination.
feedback-enhanced
Enhanced feedback mechanism with 1-hour timeout - 增强反馈机制,1小时超时.
project-onboarding-rule
Automatically onboards existing projects into the AI-driven development workflow.
linear-in-review
After finishing a Linear issue, set its status to In Review (never Done).
sprint-planning
BMAD BMM Agent: sprint-planning.
generate-tasks
Understanding our task list for our project or how to make one from a PRD.