task-breakdown

A task-planning tool for breaking a large software feature into smaller, checkable pieces. It records each task's objective, dependencies, relevant files, and completion criteria.

In plain words
What is it for?
Use it for features that touch at least four files, span multiple components, or contain several subtasks. It creates structured task records with acceptance checks and progress status.
Why use it?
It makes work involving several files or components easier to coordinate and track. Independent tasks can be identified so they may be handled in parallel.

Skill for Claude CodeCodex

Part of the oac plugin — 12 skills, 6 commands, 7 agents, 1 hook shipped together

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 skills/darrenhinde/openagentscontrol/task-breakdown
Any agent
npx skills add darrenhinde/OpenAgentsControl --skill task-breakdown
Clone the repo
git clone --depth 1 https://github.com/darrenhinde/OpenAgentsControl

Made for: Claude Code, Codex.

Or install oac, the plugin that ships this one along with the rest of its 12 skills, 6 commands, 7 agents, 1 hook.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,149 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00029 $0.01149
Opus 5 $0.00015 $0.00575
Sonnet 5 $0.00006 $0.00230
Haiku 4.5 $0.00003 $0.00115

Measured 3d ago against content hash 1787142d7a58, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-breakdown 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 3d 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.

plugins/claude-code/skills/task-breakdown/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Breakdown

Overview

Break down complex features into atomic, verifiable subtasks with dependency tracking. Each subtask gets its own JSON file with clear acceptance criteria and deliverables.

Announce at start: "I'm using the task-breakdown skill to create an execution plan for [feature]."

The Process

Step 1: Analyze Feature

Identify these elements:

  • Core objective and scope
  • Technical risks and dependencies
  • Natural task boundaries
  • Tasks that can run in parallel

Step 2: Create Task Plan

Write .tmp/tasks/{feature}/task.json:

{
  "id": "jwt-auth",
  "name": "JWT Authentication System",
  "status": "active",
  "objective": "Implement JWT-based authentication with refresh tokens",
  "context_files": [
    ".opencode/context/core/standards/code-quality.md",
    ".opencode/context/core/standards/security-patterns.md"
  ],
  "reference_files": [
    "src/middleware/auth.middleware.ts"
  ],
  "exit_criteria": [
    "All tests passing",
    "JWT tokens signed with RS256"
  ],
  "subtask_count": 3,
  "completed_count": 0,
  "created_at": "2026-02-16T02:00:00Z"
}

Rules:

  • Feature ID: kebab-case
  • Objective: max 200 chars
  • context_files: standards/conventions ONLY
  • reference_files: project source files ONLY
  • Exit criteria: binary pass/fail

Step 3: Generate Subtasks

Write .tmp/tasks/{feature}/subtask_01.json, subtask_02.json, etc:

{
  "id": "jwt-auth-01",
  "seq": "01",
  "title": "Create JWT service with token generation",
  "status": "pending",
  "depends_on": [],
  "parallel": true,
  "suggested_agent": "CoderAgent",
  "context_files": [
    ".opencode/context/core/standards/security-patterns.md"
  ],
  "reference_files": [],
  "acceptance_criteria": [
    "JWT tokens signed with RS256 algorithm",
    "Access tokens expire in 15 minutes"
  ],
  "deliverables": [
    "src/auth/jwt.service.ts",
    "src/auth/jwt.service.test.ts"
  ]
}

Rules:

  • Sequential numbering: 01, 02, 03...
  • Atomic tasks: completable in 1-2 hours
  • Dependencies: map via depends_on array
  • Parallel tasks: set parallel: true for isolated work
  • Agent assignment: CoderAgent, TestEngineer, CodeReviewer, OpenFrontendSpecialist
  • Acceptance criteria: binary pass/fail only
  • Deliverables: specific file paths or endpoints

Read the full file on GitHub · 160 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. 3d ago First seen · 160 lines · 29 tokens per session scan A 1787142d7a58

Subscribe to this mod's changes

task-breakdown is a skill published in the GitHub repository darrenhinde/OpenAgentsControl (4,815 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 1,149 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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