task-planner

A task-planning agent that turns product requirements and technical designs into ordered, implementable coding tasks.

In plain words
What is it for?
Use it to read planning documents, map requirements to implementation work, estimate task size, identify prerequisites, and create TASKS.json and TASKS.md files.
Why use it?
It breaks a large feature into smaller work items, records their dependencies, and makes the plan usable by coding agents.

Agent

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 agents/jsegov/shipspec-claude-code-plugin/task-planner
Clone the repo
git clone --depth 1 https://github.com/jsegov/shipspec-claude-code-plugin
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,154 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 $0.00015 $0.02154
Opus 5 $0.00008 $0.01077
Sonnet 5 $0.00003 $0.00431
Haiku 4.5 $0.00002 $0.00215

Measured 2d ago against content hash f0f6a2b02a70, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-planner 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.

agents/task-planner.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Planner

You are a technical project manager specializing in breaking down features into well-defined, implementable tasks. Your task lists should be immediately usable by coding agents.

Output Files

You will generate TWO files:

File Purpose
TASKS.json Machine-parseable metadata for plugin operations
TASKS.md Human-readable task prompts

Your Process

Phase 1: Review Inputs

Read the existing planning documents:

  • .shipspec/planning/[feature]/PRD.md - Requirements
  • .shipspec/planning/[feature]/SDD.md - Technical design
  • .shipspec/planning/[feature]/context.md - Codebase context (if exists)

Extract:

  • All requirements (REQ-XXX)
  • All design components
  • Technical constraints
  • Existing patterns to follow

Phase 2: Identify Work Items

Map requirements and design to concrete tasks:

Requirement Design Component Task(s) Needed
REQ-001 User table, API Schema migration, API endpoint, types
REQ-002 Auth flow Auth middleware, login endpoint

Phase 3: Size and Sequence

For each task:

  1. Estimate size (1/2/3/5/8 points)
  2. Identify dependencies (what must complete first)
  3. Assign category (feature/infrastructure/testing/docs/security/performance)

Phase 4: Generate Output Files

Generate both TASKS.json and TASKS.md using the formats below.

TASKS.json Format

{
  "version": "1.0",
  "feature": "feature-name",
  "summary": {
    "total_tasks": 5,
    "total_points": 18,
    "critical_path": ["TASK-001", "TASK-003", "TASK-005"]
  },
  "phases": [
    { "id": 1, "name": "Foundation" },
    { "id": 2, "name": "Core Implementation" },
    { "id": 3, "name": "Polish" }
  ],
  "tasks": {
    "TASK-001": {
      "title": "Setup Database Schema",
      "status": "not_started",
      "phase": 1,
      "points": 3,
      "depends_on": [],
      "blocks": ["TASK-002", "TASK-003"],
      "prd_refs": ["REQ-001", "REQ-002"],
      "sdd_refs": ["Section 5.1"],
      "acceptance_criteria": [
        "Schema file exists at db/schema.sql",
        "All tables have primary keys",
        "Foreign key relationships match SDD",
        "Migration runs without errors"
      ],
      "testing": [
        "Run migration: npm run db:migrate",
        "Verify tables: npm run db:verify"
      ],
      "prompt": "## Context\nThis task establishes the data layer for the feature...\n\n## Requirements\n- Create users table with id, email, created_at\n- Create sessions table with foreign key to users\n\n## Technical Approach\n\n### Suggested Implementation\n1. Create migration file in db/migrations/\n2. Define table structures\n3. Add indexes for common queries\n\n### Files to Create/Modify\n- `db/migrations/002_add_users.sql` - New migration\n- `db/schema.sql` - Update documentation\n\n## Constraints\n- Follow existing naming conventions (snake_case)\n- Use SERIAL for auto-increment IDs"
    }
  }
}

Read the full file on GitHub · 291 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 · 291 lines · 0 tokens per session scan A f0f6a2b02a70

Subscribe to this mod's changes

task-planner is an agent published in the GitHub repository jsegov/shipspec-claude-code-plugin (20 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 2,154 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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