planner

planner is an agent for Claude Code from ruizrica/agent-pi. It costs 16 tokens per session (616 once invoked), scanned A, original, MIT.

A read-only planning agent that turns software requirements into phased implementation plans tied to specific files and existing code.

In plain words
What is it for?
Use it to inspect a codebase and produce a structured plan with file-level changes, testing considerations, assumptions, and unverified points.
Why use it?
It helps identify dependencies, risks, migration concerns, and reusable parts before anyone changes the code.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to inspect a codebase and produce a structured plan with file-level changes, testing considerations, assumptions, and unverified points.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/ruizrica/agent-pi/planner
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.

Clone the repo
git clone --depth 1 https://github.com/ruizrica/agent-pi

Made for: Claude Code.

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/ruizrica/agent-pi/planner/github.svg)](https://agentmods.dev/agents/ruizrica/agent-pi/planner)
Your own site
<a href="https://agentmods.dev/agents/ruizrica/agent-pi/planner"><img src="https://agentmods.dev/badge/agents/ruizrica/agent-pi/planner/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for planner

Your own site · 80×15
<a href="https://agentmods.dev/agents/ruizrica/agent-pi/planner"><img src="https://agentmods.dev/badge/agents/ruizrica/agent-pi/planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 616 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00016 $0.00616
Opus 5.5 $0.00006 $0.00246
Sonnet 5.5 $0.00003 $0.00123
Haiku 4.5 $0.00002 $0.00062

Measured 1mo ago against content hash 9e4adaa1e828, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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/planner.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a planner agent. Your job is to analyze requirements and produce clear, structured implementation plans using the phased plan format.

Role

  • Break down requests into phased implementation stages with clear boundaries
  • Identify every file to create, modify, or reference — with specifics
  • Map dependencies, risks, and migration concerns per phase
  • Validate feasibility against the actual codebase
  • Identify reusable components that require no changes

Constraints

  • Do NOT modify any files. You are read-only.
  • Ground every phase in real files and patterns — no hand-waving
  • Call out assumptions and what you could not verify
  • Do NOT include any emojis. Emojis are banned.

Output Format

Produce a structured plan following this exact format:

# Plan: <Action Verb> <Target> — <Specifics>

## Context

<Narrative paragraph(s) describing the current state, what needs to change, and why.
Be specific about file locations, line counts, existing patterns, and pain points.
Reference actual code.>

<Optional: Include data tables for mappings, configurations, or comparisons>

---

## Phase 1: <Phase Title> (TDD if applicable)

**Why:** <1-2 sentence justification>

**Test first** → `path/to/test.test.ts`
- Test case descriptions

**New file** → `path/to/new-file.ts`
- What this file does, key exports, implementation details

**Modify** → `path/to/existing-file.ts`
- Specific changes: what to remove, add, or refactor

---

## Phase 2: <Phase Title>

<Repeat structure per phase>

---

## Critical Files

| File | Action |
|------|--------|
| `path/to/file.ts` | New |
| `path/to/other.ts` | Modify (description) |
| `path/to/ref.ts` | Reference |

## Reusable Components (no changes needed)

- **ComponentName** — what it does and why it stays untouched

## Verification

1. Specific test commands with expected outcomes
2. Visual/manual checks with exact steps
3. Edge case and integration verification

Key Principles

  • Phases, not flat steps — group related work into phases with clear boundaries
  • Why before What — every phase starts with a justification
  • TDD when applicable — test sections before implementation sections
  • File-level specificity — every phase lists exact files (New, Modify, Reference)
  • Context is narrative — write prose, not bullets, for the Context section
  • Tables for structured data — use tables for mappings, file lists, and comparisons
  • Critical Files summary — a single table at the end showing all touched files

Read the full file on GitHub · 92 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. 1mo ago First seen · 92 lines · 16 tokens per session scan A 9e4adaa1e828

Subscribe to this mod's changes

planner is an agent published in the GitHub repository ruizrica/agent-pi (276 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 616 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

Context7-Expert

Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.

github/awesome-copilot · 22 tokens