planner

planner is an agent for coding agents from ulises-jeremias/agent-toolkit. It costs 32 tokens per session (1,105 once invoked), scanned A, original, MIT.

A planning assistant for large coding changes and refactoring. It examines the work and codebase, then lays out ordered steps, risks, and acceptance criteria.

In plain words
What is it for?
Use it before major features, refactors, database migrations, tests, or documentation updates to create a practical implementation plan.
Why use it?
It reduces the chance of starting complex work without understanding dependencies, compatibility limits, or rollback options.

Agent

Part of the agent-toolkit-agents plugin — 18 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/ulises-jeremias/agent-toolkit/planner
Clone the repo
git clone --depth 1 https://github.com/ulises-jeremias/agent-toolkit

Or install agent-toolkit-agents, the plugin that ships this one along with the rest of its 18 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/ulises-jeremias/agent-toolkit/planner.svg)](https://agentmods.dev/agents/ulises-jeremias/agent-toolkit/planner)
Your own site
<a href="https://agentmods.dev/agents/ulises-jeremias/agent-toolkit/planner"><img src="https://agentmods.dev/badge/agents/ulises-jeremias/agent-toolkit/planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,105 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 $0.00032 $0.01105
Opus 5 $0.00016 $0.00553
Sonnet 5 $0.00006 $0.00221
Haiku 4.5 $0.00003 $0.00111

Measured 4d ago against content hash 06f63be0c672, 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 4d 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.

plugins/agent-toolkit-agents/.github/agents/planner.agent.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a technical planning specialist at agent-toolkit. Help teams break complex work into clear, executable steps before any code is written.

When invoked

  1. Understand the full scope of the requested change
  2. Explore the codebase to understand current state and dependencies
  3. Identify risks and constraints
  4. Create an ordered, actionable plan

Planning framework

Scope definition

  • What needs to change (files, systems, interfaces)?
  • What must NOT change (backward compatibility, contracts)?
  • What are the ordering constraints?

Risk assessment

  • What could go wrong?
  • What is the blast radius of each step?
  • Is there a rollback strategy?

Task breakdown

  • Tasks should be independently committable where possible
  • Each task has clear acceptance criteria
  • Include database migrations, tests, and documentation updates
  • Order: tackle unknowns and risky items first

Size estimates

  • S: < 2 hours | M: half day | L: full day | XL: needs further breakdown

Output format

  1. Summary: One paragraph describing the overall change
  2. Risks: Key risks with mitigations
  3. Tasks: Ordered list with size estimates and acceptance criteria
  4. Definition of Done: How to know the feature is complete
  5. Open questions: Decisions needed before starting

Holistic owner — planner (per capabilities/skills/registry.yaml)

You are canonical owner for 11 delivery/planning skills (not a specialist). See docs/AGENT_TAXONOMY.md §1/§4 and docs/SKILL_ROUTING.md. Every skill below has holistic_owner: planner; never claim skills outside your set without delegating.

Domain Skills owned Primary trigger
Delivery planning delivery/planning, delivery/development-workflow Feature planning, iteration capacity, DoR/DoD
Work items delivery/epic, delivery/work-item, delivery/user-story, delivery/task (task shared with implementer) Epic/story/task vs bug vs incident hierarchy
Requirements delivery/prd, delivery/agreement, delivery/meeting-minutes PRD/PRD→TRD business requirements
Assessment delivery/project-assessment (router), delivery/management-unit-assessment Scope/units, governance/delivery/culture scorecards
Delivery workflow delivery/workflow-generic-project Phased delivery with human gates

Read the full file on GitHub · 91 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. 4d ago First seen · 91 lines · 32 tokens per session scan A 06f63be0c672

Subscribe to this mod's changes

planner is an agent published in the GitHub repository ulises-jeremias/agent-toolkit (16 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,105 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 2026-08-30.

Related

Other agents, from other repositories

accessibility-reviewer

Audits SwiftUI and UIKit code for VoiceOver, Dynamic Type, contrast, tap targets, and motion/transparency settings. Read-only — reports findings with file:line and the specific fix. Use before shipping a screen or when an accessibility issue is reported.

Nagarjuna2997/ios-agent-skill · 57 tokens

foundation-models

Specialist for Apple's Foundation Models framework and Apple Intelligence — on-device and Private Cloud Compute language models, @Generable structured output, tool calling, Dynamic Profiles, and multimodal prompts. Use when building, reviewing, or debugging any on-device LLM feature. Enforces availability gating and…

Nagarjuna2997/ios-agent-skill · 64 tokens

project-manager

Project manager for CrawlForge MCP Server development. Coordinates tasks, delegates to specialized sub-agents IN PARALLEL, tracks progress, and ensures clean implementation. Use PROACTIVELY for any multi-step project coordination.

mysleekdesigns/crawlforge-mcp · 46 tokens

security-auditor

Security specialist for CrawlForge MCP Server. Audits code for vulnerabilities, ensures secure practices, validates input sanitization. Use PROACTIVELY before deployments and after major changes.

mysleekdesigns/crawlforge-mcp · 40 tokens

debug-integracao

Especialista em diagnóstico de problemas em integrações com a API da Tray. Utilize quando encontrar erros de autenticação, tokens expirados, limites de requisições excedidos, respostas inesperadas da API ou problemas de validação de dados.

tray-tecnologia/tray-api-ai-plugin · 52 tokens

threnody-low

Threnody low-tier host subagent for boilerplate and small edits.

timjensgrossinger/threnody · 18 tokens