speckit.tasks

A task-list generator for projects that use written feature plans and specifications. It reads those documents and turns their requirements into implementation tasks.

In plain words
What is it for?
Use it to create development tasks from plan and specification files, including related data models, API descriptions, research notes, and quickstart tests when available.
Why use it?
It removes the need to manually connect project requirements, technical choices, data, and API work into one task list.

Command 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 commands/ivangrynenko/cursorrules/speckit.tasks
Clone the repo
git clone --depth 1 https://github.com/ivangrynenko/cursorrules

Made for: Cursor.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,301 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% 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 $0.01301
Opus 5 $0.00000 $0.00651
Sonnet 5 $0.00000 $0.00260
Haiku 4.5 $0.00000 $0.00130

Measured 2d ago against content hash 82abbb7a37ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

speckit.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 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

95% identical to speckit.tasks — 8 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/commands/speckit.tasks.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

Use the user-provided arguments (if any) as contextual input

You MUST consider the user input before proceeding (if not empty).

Outline

  1. Setup: Run .specify/scripts/bash/check-prerequisites.sh --json from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").

  2. Load design documents: Read from FEATURE_DIR:

    • Required: plan.md (tech stack, libraries, structure), spec.md (user stories with priorities)
    • Optional: data-model.md (entities), contracts/ (API endpoints), research.md (decisions), quickstart.md (test scenarios)
    • Note: Not all projects have all documents. Generate tasks based on what's available.
  3. Execute task generation workflow (follow the template structure):

    • Load plan.md and extract tech stack, libraries, project structure
    • Load spec.md and extract user stories with their priorities (P1, P2, P3, etc.)
    • If data-model.md exists: Extract entities → map to user stories
    • If contracts/ exists: Each file → map endpoints to user stories
    • If research.md exists: Extract decisions → generate setup tasks
    • Generate tasks ORGANIZED BY USER STORY:
      • Setup tasks (shared infrastructure needed by all stories)
      • Foundational tasks (prerequisites that must complete before ANY user story can start)
      • For each user story (in priority order P1, P2, P3...):
        • Group all tasks needed to complete JUST that story
        • Include models, services, endpoints, UI components specific to that story
        • Mark which tasks are [P] parallelizable
        • If tests requested: Include tests specific to that story
      • Polish/Integration tasks (cross-cutting concerns)
    • Tests are OPTIONAL: Only generate test tasks if explicitly requested in the feature spec or user asks for TDD approach
    • Apply task rules:
      • Different files = mark [P] for parallel
      • Same file = sequential (no [P])
      • If tests requested: Tests before implementation (TDD order)
    • Number tasks sequentially (T001, T002...)
    • Generate dependency graph showing user story completion order
    • Create parallel execution examples per user story
    • Validate task completeness (each user story has all needed tasks, independently testable)

Read the full file on GitHub · 108 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 · 108 lines · 0 tokens per session scan A 82abbb7a37ca

Subscribe to this mod's changes

speckit.tasks is a command published in the GitHub repository ivangrynenko/cursorrules (88 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,301 tokens. A static security scan graded it A with 0 findings. It is 95% identical to speckit.tasks, differing in 8 lines, and is treated as a copy.