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/markhazlett/cursor-rulesWrote 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/markhazlett/cursor-rules/generate_tasks)<a href="https://agentmods.dev/rules/markhazlett/cursor-rules/generate_tasks"><img src="https://agentmods.dev/badge/rules/markhazlett/cursor-rules/generate_tasks/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/markhazlett/cursor-rules/generate_tasks"><img src="https://agentmods.dev/badge/rules/markhazlett/cursor-rules/generate_tasks.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 | $0.00844 |
| Opus 5.5 | $0.00000 | $0.00338 |
| Sonnet 5.5 | $0.00000 | $0.00169 |
| Haiku 4.5 | $0.00000 | $0.00084 |
Grade A, and why
generate_tasks 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
88% identical to generate-tasks — 19 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
- Format: Markdown (
.md) - Location:
/tasks/ - Filename:
tasks-[prd-file-name].md(e.g.,tasks-prd-user-profile-editing.md)
Process
- Receive PRD Reference: The user points the AI to a specific PRD file
- Analyze PRD: The AI reads and analyzes the functional requirements, user stories, and other sections of the specified PRD.
- Phase 1: Generate Parent Tasks: Based on the PRD analysis, create the file and generate the main, high-level tasks required to implement the feature. Use your judgement on how many high-level tasks to use. It's likely to be about 5. Present these tasks to the user in the specified format (without sub-tasks yet). Inform the user: "I have generated the high-level tasks based on the PRD. Ready to generate the sub-tasks? Respond with 'Go' to proceed."
- Wait for Confirmation: Pause and wait for the user to respond with "Go".
- Phase 2: Generate Sub-Tasks: Once the user confirms, break down each parent task into smaller, actionable sub-tasks necessary to complete the parent task. Ensure sub-tasks logically follow from the parent task and cover the implementation details implied by the PRD.
- Identify Relevant Files: Based on the tasks and PRD, identify potential files that will need to be created or modified. List these under the
Relevant Filessection, including corresponding test files if applicable. - Generate Final Output: Combine the parent tasks, sub-tasks, relevant files, and notes into the final Markdown structure.
- Save Task List: Save the generated document in the
/tasks/directory with the filenametasks-[prd-file-name].md, where[prd-file-name]matches the base name of the input PRD file (e.g., if the input wasprd-user-profile-editing.md, the output istasks-prd-user-profile-editing.md).
Output Format
The generated task list must follow this structure:
## Relevant Files
- `path/to/potential/file1.ts` - Brief description of why this file is relevant (e.g., Contains the main component for this feature).
- `path/to/file1.test.ts` - Unit tests for `file1.ts`.
- `path/to/another/file.tsx` - Brief description (e.g., API route handler for data submission).
- `path/to/another/file.test.tsx` - Unit tests for `another/file.tsx`.
- `lib/utils/helpers.ts` - Brief description (e.g., Utility functions needed for calculations).
- `lib/utils/helpers.test.ts` - Unit tests for `helpers.ts`.
### Notes
- Unit tests should typically be placed alongside the code files they are testing (e.g., `MyComponent.tsx` and `MyComponent.test.tsx` in the same directory).
- Use `npx jest [optional/path/to/test/file]` to run tests. Running without a path executes all tests found by the Jest configuration.
## Tasks
- [ ] 1.0 Parent Task Title
- [ ] 1.1 [Sub-task description 1.1]
- [ ] 1.2 [Sub-task description 1.2]
- [ ] 2.0 Parent Task Title
- [ ] 2.1 [Sub-task description 2.1]
- [ ] 3.0 Parent Task Title (may not require sub-tasks if purely structural or configuration)
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 · 56 lines · 0 tokens per session scan A 304e6f72ea7b
generate_tasks is a cursor rule published in the GitHub repository markhazlett/cursor-rules (2 stars, last pushed 1y ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 844 tokens. A static security scan graded it A with 0 findings. It is 88% identical to generate-tasks, differing in 19 lines, and is treated as a copy.
Other cursor rules, from other repositories
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
prefer-assertions-over-defensive-checks
Prefer assertions over defensive checks when data is guaranteed to be valid.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
config-validation-and-normalization
Config validation and normalization responsibilities (defineConfig normalizes, the orm section schema validates and resolves paths, the loader reports per-section diagnostics).