planner

planner is an agent for coding agents from affaan-m/ECC. It costs 37 tokens per session (1,582 once invoked), scanned A, original, MIT.

A planning guide for complex software features, architecture changes, and refactoring. It turns requirements into an ordered set of implementation steps with dependencies, risks, and success criteria.

In plain words
What is it for?
Use it to plan feature development, architectural changes, large refactors, edge-case handling, testing, and incremental implementation.
Why use it?
It helps teams understand the work before coding begins and exposes missing requirements or risky assumptions early.

Agent

Part of the ecc plugin — 70 skills, 56 commands, 68 agents, 1 MCP server shipped together

About the project

ECC is a toolkit that organizes and improves how coding agents work through skills, memory, security checks, research practices, and related extensions. It is for developers using agents such as Claude Code, Codex, OpenCode, and Cursor.

affaan-m/ECC · 246,988 stars · on GitHub

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/affaan-m/ecc/planner
Clone the repo
git clone --depth 1 https://github.com/affaan-m/ECC

Or install ecc, the plugin that ships this one along with the rest of its 70 skills, 56 commands, 68 agents, 1 MCP server.

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/affaan-m/ecc/planner.svg)](https://agentmods.dev/agents/affaan-m/ecc/planner)
Your own site
<a href="https://agentmods.dev/agents/affaan-m/ecc/planner"><img src="https://agentmods.dev/badge/agents/affaan-m/ecc/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 1,582 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 $0.00037 $0.01582
Opus 5 $0.00018 $0.00791
Sonnet 5 $0.00007 $0.00316
Haiku 4.5 $0.00004 $0.00158

Measured today against content hash 8d0ba2f07e08, 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 today.

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

Copies of this mod

8 near-identical copies found in the catalogue:

  • planner — 100% identical, 0 lines differ
  • planner — 100% identical, 0 lines differ
  • planner — 100% identical, 0 lines differ
  • planner — 100% identical, 20 lines differ
  • planner — 100% identical, 0 lines differ
  • planner — 95% identical, 4 lines differ
  • planner — 95% identical, 4 lines differ
  • planner — 95% identical, 9 lines differ
.kiro/agents/planner.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 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 · 213 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. today First seen · 213 lines · 37 tokens per session scan A 8d0ba2f07e08

Subscribe to this mod's changes

planner is an agent published in the GitHub repository affaan-m/ECC (246,988 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,582 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 2026-09-03.

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