tasks

A command that converts an implementation plan and its supporting design documents into a list of executable development tasks. The plan may include data models, API contracts, research notes, and test scenarios.

In plain words
What is it for?
Use it to create setup, test, core, and integration tasks for a feature, based on its planned technology, data, interfaces, decisions, and test cases.
Why use it?
It breaks a large feature into smaller pieces and adjusts the task list to the documents that actually exist in the project.

Command for Claude Code

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/fblgit/claudebench/tasks
Clone the repo
git clone --depth 1 https://github.com/fblgit/claudebench

Made for: Claude Code.

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 536 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00536
Opus 5 $0.00000 $0.00268
Sonnet 5 $0.00000 $0.00107
Haiku 4.5 $0.00000 $0.00054

Measured yesterday against content hash eaf1b42cb33e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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

100% identical to tasks — 4 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.

.claude/commands/tasks.md · 60 lines

What it actually says

Break down the plan into executable tasks.

This is the third step in the Spec-Driven Development lifecycle.

Given the context provided as an argument, do this:

  1. Run scripts/check-task-prerequisites.sh --json from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute.

  2. Load and analyze available design documents:

    • Always read plan.md for tech stack and libraries
    • IF EXISTS: Read data-model.md for entities
    • IF EXISTS: Read contracts/ for API endpoints
    • IF EXISTS: Read research.md for technical decisions
    • IF EXISTS: Read quickstart.md for test scenarios

    Note: Not all projects have all documents. For example:

    • CLI tools might not have contracts/
    • Simple libraries might not need data-model.md
    • Generate tasks based on what's available
  3. Generate tasks following the template:

    • Use /templates/tasks-template.md as the base
    • Replace example tasks with actual tasks based on:
      • Setup tasks: Project init, dependencies, linting
      • Test tasks [P]: One per contract, one per integration scenario
      • Core tasks: One per entity, service, CLI command, endpoint
      • Integration tasks: DB connections, middleware, logging
      • Polish tasks [P]: Unit tests, performance, docs
  4. Task generation rules:

    • Each contract file → contract test task marked [P]
    • Each entity in data-model → model creation task marked [P]
    • Each endpoint → implementation task (not parallel if shared files)
    • Each user story → integration test marked [P]
    • Different files = can be parallel [P]
    • Same file = sequential (no [P])
  5. Order tasks by dependencies:

    • Setup before everything
    • Tests before implementation (TDD)
    • Models before services
    • Services before endpoints
    • Core before integration
    • Everything before polish
  6. Include parallel execution examples:

    • Group [P] tasks that can run together
    • Show actual Task agent commands
  7. Create FEATURE_DIR/tasks.md with:

    • Correct feature name from implementation plan
    • Numbered tasks (T001, T002, etc.)
    • Clear file paths for each task
    • Dependency notes
    • Parallel execution guidance

Context for task generation: $ARGUMENTS

The tasks.md should be immediately executable - each task must be specific enough that an LLM can complete it without additional context.

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. yesterday First seen · 60 lines · 0 tokens per session scan A eaf1b42cb33e

Subscribe to this mod's changes

tasks is a command published in the GitHub repository fblgit/claudebench (9 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 536 tokens. A static security scan graded it A with 0 findings. It is 100% identical to tasks, differing in 4 lines, and is treated as a copy.