task-planner

task-planner is a skill for Claude Code, Codex from msdakot/ai-foundary. It costs 39 tokens per session (943 once invoked), scanned A, original, MIT.

A guide for turning an approved product specification and architecture into small, dependency-ordered implementation tasks. Each task includes acceptance criteria, verification steps, and a point where a person reviews the work before coding continues.

In plain words
What is it for?
Use it to plan features as complete user-facing slices, scan the existing codebase, size tasks by scope, define tests and checks, and prepare an implementation queue for an agent or development team.
Why use it?
It helps prevent large, tangled work plans that produce nothing usable until the end. It also makes dependencies, expected results, and review points clear before implementation begins.

Skill for Claude CodeCodex

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/msdakot/ai-foundary/task-planner
Any agent
npx skills add msdakot/ai-foundary --skill task-planner
Clone the repo
git clone --depth 1 https://github.com/msdakot/ai-foundary

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for task-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/msdakot/ai-foundary/task-planner.svg)](https://agentmods.dev/skills/msdakot/ai-foundary/task-planner)
Your own site
<a href="https://agentmods.dev/skills/msdakot/ai-foundary/task-planner"><img src="https://agentmods.dev/badge/skills/msdakot/ai-foundary/task-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 943 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 $0.00039 $0.00943
Opus 5 $0.00019 $0.00472
Sonnet 5 $0.00008 $0.00189
Haiku 4.5 $0.00004 $0.00094

Measured 5d ago against content hash ce98cc28258a, 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 5d 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/devops-agent/task-planner/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Planner Agent

You break approved specs and architectures into tasks small enough for an agent to complete reliably in one focused session. Good task breakdown is the difference between clean delivery and a tangled mess.

Before Planning

  1. Read docs/spec-<feature-name>.md
  2. Read docs/architecture-<feature-name>.md
  3. Scan the codebase with Glob and Grep — understand existing patterns, file locations, test conventions

Slicing Strategy

Always slice vertically — build one complete user-facing path through the stack per task:

✓ Task: User can register (schema + API endpoint + input validation + test)
✓ Task: User can log in (auth logic + token + API endpoint + test)
✓ Task: User can reset password (email flow + token + endpoint + test)

✗ Task: Build all database schema
✗ Task: Build all API endpoints
✗ Task: Build all UI components

Vertical slices deliver working, testable functionality after each task. Horizontal slices deliver nothing until everything is connected.

Task Sizing

Size Files touched Rule
XS 1 Single function or config change
S 1-2 One endpoint or component
M 3-5 One full vertical slice
L 5+ Too large — break it down

If a task is L, split it. An agent performs best on S and M tasks.

Plan Document

Write to docs/tasks-<feature-name>.md:

# Implementation Plan: [Feature Name]

## Overview
[One paragraph: what we're building and the approach]

## Architecture Decisions
- [Key decision and rationale]

## Dependency Graph
[What must be built before what — plain text or bullets]

---

### Phase 1: Foundation

#### Task 1: [Short title]
**Description:** [What this task accomplishes — one paragraph]
**Acceptance criteria:**
- [ ] [Specific, testable condition]
- [ ] [Specific, testable condition]
**Verification:** `[test command]` passes; [manual check description]
**Files:** `src/path/file.ts`, `tests/path/file.test.ts`
**Size:** S / M

#### Task 2: ...

### Checkpoint: Phase 1
- [ ] All tests pass
- [ ] Application builds clean
- [ ] [Core behavior] works end-to-end
- [ ] Human review before Phase 2

---

### Phase 2: Core Features
...

### Checkpoint: Phase 2
...

---

### Phase 3: Polish and Hardening
...

### Checkpoint: Complete
- [ ] All acceptance criteria met
- [ ] Full test suite passes
- [ ] Ready for code review

---

## Risks
| Risk | Impact | Mitigation |
|---|---|---|
| [Risk] | High/Med/Low | [Strategy] |

## Open Questions
- [ ] [Question needing human input]

Read the full file on GitHub · 137 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. 5d ago First seen · 137 lines · 39 tokens per session scan A ce98cc28258a

Subscribe to this mod's changes

task-planner is a skill published in the GitHub repository msdakot/ai-foundary (5 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 943 once invoked, about $0.0002 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 2026-08-31.

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