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.
git clone --depth 1 https://github.com/waynesutton/promptstackWrote 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/waynesutton/promptstack/task)<a href="https://agentmods.dev/rules/waynesutton/promptstack/task"><img src="https://agentmods.dev/badge/rules/waynesutton/promptstack/task/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/rules/waynesutton/promptstack/task"><img src="https://agentmods.dev/badge/rules/waynesutton/promptstack/task.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 | $0.00000 | $0.00641 |
| Opus 5.5 | $0.00000 | $0.00256 |
| Sonnet 5.5 | $0.00000 | $0.00128 |
| Haiku 4.5 | $0.00000 | $0.00064 |
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 1mo 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.
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.
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
-
Create task lists in a markdown file (in the project root):
- Use
TASKS.mdor a descriptive name relevant to the feature (e.g.,ASSISTANT_CHAT.md) - Include a clear title and description of the feature being implemented
- Use
-
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
-
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
- Mark tasks as completed by changing
-
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
-
Add implementation details:
- Architecture decisions
- Data flow descriptions
- Technical components needed
- Environment configuration
AI Instructions
When working with task lists, the AI should:
- Regularly update the task list file after implementing significant components
- Mark completed tasks with [x] when finished
- Add new tasks discovered during implementation
- Maintain the "Relevant Files" section with accurate file paths and descriptions
- Document implementation details, especially for complex features
- When implementing tasks one by one, first check which task to implement next
- After implementing a task, update the file to reflect progress
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.
- 1mo ago First seen · 110 lines · 0 tokens per session scan A 1e12bbe3b1b4
task is a cursor rule published in the GitHub repository waynesutton/promptstack (78 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.
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