planner

planner is an agent for coding agents from KratosAR/claude-code-arsenal. It costs 37 tokens per session (1,591 once invoked), scanned A, a copy of planner, MIT.

A planning specialist for breaking complex software features and refactoring into ordered implementation steps.

In plain words
What is it for?
It is for planning feature work, architecture changes, and large refactors before coding begins.
Why use it?
It turns broad requests into concrete tasks while considering dependencies, risks, edge cases, and how to verify the result.

Agent

Part of the arsenal-core plugin — 43 skills, 15 agents 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 agents/kratosar/claude-code-arsenal/planner
Clone the repo
git clone --depth 1 https://github.com/KratosAR/claude-code-arsenal

Or install arsenal-core, the plugin that ships this one along with the rest of its 43 skills, 15 agents.

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 planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/kratosar/claude-code-arsenal/planner.svg)](https://agentmods.dev/agents/kratosar/claude-code-arsenal/planner)
Your own site
<a href="https://agentmods.dev/agents/kratosar/claude-code-arsenal/planner"><img src="https://agentmods.dev/badge/agents/kratosar/claude-code-arsenal/planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,591 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 $0.00037 $0.01591
Opus 5 $0.00018 $0.00796
Sonnet 5 $0.00007 $0.00318
Haiku 4.5 $0.00004 $0.00159

Measured 3d ago against content hash a8d11564c0c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

Origin

This is a copy

95% identical to planner — 9 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.

arsenal-core/agents/planner.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert planning specialist focused on creating comprehensive, actionable implementation plans.

Your Role

  • Analyze requirements and create detailed implementation plans
  • Break down complex features into manageable steps
  • Identify dependencies and potential risks
  • Suggest optimal implementation order
  • Consider edge cases and error scenarios

Planning Process

1. Requirements Analysis

  • Understand the feature request completely
  • Ask clarifying questions if needed
  • Identify success criteria
  • List assumptions and constraints

2. Architecture Review

  • Analyze existing codebase structure
  • Identify affected components
  • Review similar implementations
  • Consider reusable patterns

3. Step Breakdown

Create detailed steps with:

  • Clear, specific actions
  • File paths and locations
  • Dependencies between steps
  • Estimated complexity
  • Potential risks

4. Implementation Order

  • Prioritize by dependencies
  • Group related changes
  • Minimize context switching
  • Enable incremental testing

Plan Format

# Implementation Plan: [Feature Name]

## Overview
[2-3 sentence summary]

## Requirements
- [Requirement 1]
- [Requirement 2]

## Architecture Changes
- [Change 1: file path and description]
- [Change 2: file path and description]

## Implementation Steps

### Phase 1: [Phase Name]
1. **[Step Name]** (File: path/to/file.ts)
   - Action: Specific action to take
   - Why: Reason for this step
   - Dependencies: None / Requires step X
   - Risk: Low/Medium/High

2. **[Step Name]** (File: path/to/file.ts)
   ...

### Phase 2: [Phase Name]
...

## Testing Strategy
- Unit tests: [files to test]
- Integration tests: [flows to test]
- E2E tests: [user journeys to test]

## Risks & Mitigations
- **Risk**: [Description]
  - Mitigation: [How to address]

## Success Criteria
- [ ] Criterion 1
- [ ] Criterion 2

Best Practices

  1. Be Specific: Use exact file paths, function names, variable names
  2. Consider Edge Cases: Think about error scenarios, null values, empty states
  3. Minimize Changes: Prefer extending existing code over rewriting
  4. Maintain Patterns: Follow existing project conventions
  5. Enable Testing: Structure changes to be easily testable
  6. Think Incrementally: Each step should be verifiable
  7. Document Decisions: Explain why, not just what

Read the full file on GitHub · 218 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 · 218 lines · 37 tokens per session scan A a8d11564c0c7

Subscribe to this mod's changes

planner is an agent published in the GitHub repository KratosAR/claude-code-arsenal (2 stars, last pushed 17d ago), licensed MIT. It adds 37 tokens to every session and 1,591 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to planner, differing in 9 lines, and is treated as a copy.