task

Rules for keeping a project's work organized in a Markdown task-list file, such as TASKS.md.

In plain words
What is it for?
They help create and maintain implementation plans, task sections, feature descriptions, and lists of relevant files.
Why use it?
They provide a shared format for recording completed, active, and future work so contributors can see progress and planned changes.

Cursor rule for Cursor

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 rules/waynesutton/promptstack/task
Clone the repo
git clone --depth 1 https://github.com/waynesutton/promptstack

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 641 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 81% 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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00641
Opus 5 $0.00000 $0.00320
Sonnet 5 $0.00000 $0.00128
Haiku 4.5 $0.00000 $0.00064

Measured 2d ago against content hash 1e12bbe3b1b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task 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 2d 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

81% identical to task — 36 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.

.cursor/rules/task.mdc · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.


description: Guidelines for creating and managing task lists in markdown files to track project progress globs: alwaysApply: false

Task List Management

Guidelines for creating and managing task lists in markdown files to track project progress

Task List Creation

  1. Create task lists in a markdown file (in the project root):

    • Use TASKS.md or a descriptive name relevant to the feature (e.g., ASSISTANT_CHAT.md)
    • Include a clear title and description of the feature being implemented
  2. Structure the file with these sections:

    # Feature Name Implementation
    
    Brief description of the feature and its purpose.
    
    ## Completed Tasks
    
    - [x] Task 1 that has been completed
    - [x] Task 2 that has been completed
    
    ## In Progress Tasks
    
    - [ ] Task 3 currently being worked on
    - [ ] Task 4 to be completed soon
    
    ## Future Tasks
    
    - [ ] Task 5 planned for future implementation
    - [ ] Task 6 planned for future implementation
    
    ## Implementation Plan
    
    Detailed description of how the feature will be implemented.
    
    ### Relevant Files
    
    - path/to/file1.ts - Description of purpose
    - path/to/file2.ts - Description of purpose
    

Task List Maintenance

  1. Update the task list as you progress:

    • Mark tasks as completed by changing [ ] to [x]
    • Add new tasks as they are identified
    • Move tasks between sections as appropriate
  2. Keep "Relevant Files" section updated with:

    • File paths that have been created or modified
    • Brief descriptions of each file's purpose
    • Status indicators (e.g., ✅) for completed components
  3. Add implementation details:

    • Architecture decisions
    • Data flow descriptions
    • Technical components needed
    • Environment configuration

AI Instructions

When working with task lists, the AI should:

  1. Regularly update the task list file after implementing significant components
  2. Mark completed tasks with [x] when finished
  3. Add new tasks discovered during implementation
  4. Maintain the "Relevant Files" section with accurate file paths and descriptions
  5. Document implementation details, especially for complex features
  6. When implementing tasks one by one, first check which task to implement next
  7. After implementing a task, update the file to reflect progress

Read the full file on GitHub · 110 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. 2d ago First seen · 110 lines · 0 tokens per session scan A 1e12bbe3b1b4

Subscribe to this mod's changes

task is a cursor rule published in the GitHub repository waynesutton/promptstack (76 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 641 tokens. A static security scan graded it A with 0 findings. It is 81% identical to task, differing in 36 lines, and is treated as a copy.