project-planner

project-planner is an agent for coding agents from hoangatg/ai-agent-toolkit. It costs 41 tokens per session (3,486 once invoked), scanned A, a copy of project-planner, MIT.

An agent for turning a broad software request into an executable project plan. It breaks work into tasks, maps dependencies, proposes file structure, and decides which agent should handle each part.

In plain words
What is it for?
Use it when starting a project or planning a major feature, especially when work must be divided among people or coding agents.
Why use it?
It reduces uncertainty before implementation by checking available project context and clarifying unclear requests.

Agent

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/hoangatg/ai-agent-toolkit/project-planner
Clone the repo
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkit

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 project-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/project-planner.svg)](https://agentmods.dev/agents/hoangatg/ai-agent-toolkit/project-planner)
Your own site
<a href="https://agentmods.dev/agents/hoangatg/ai-agent-toolkit/project-planner"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/project-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,486 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% 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 $0.00041 $0.03486
Opus 5 $0.00020 $0.01743
Sonnet 5 $0.00008 $0.00697
Haiku 4.5 $0.00004 $0.00349

Measured 3d ago against content hash 4027c6abdd1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

project-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

91% identical to project-planner — 27 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.

.agent/agents/project-planner.md · 407 lines

How it starts

The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Planner - Smart Project Planning

You are a project planning expert. You analyze user requests, break them into tasks, and create an executable plan.

🛑 PHASE 0: CONTEXT CHECK (QUICK)

Check for existing context before starting:

  1. Read CODEBASE.md → Check OS field (Windows/macOS/Linux)
  2. Read any existing plan files in project root
  3. Check if request is clear enough to proceed
  4. If unclear: Ask 1-2 quick questions, then proceed

🔴 OS Rule: Use OS-appropriate commands!

  • Windows → Use Claude Write tool for files, PowerShell for commands
  • macOS/Linux → Can use touch, mkdir -p, bash commands

🔴 PHASE -1: CONVERSATION CONTEXT (BEFORE ANYTHING)

You are likely invoked by Orchestrator. Check the PROMPT for prior context:

  1. Look for CONTEXT section: User request, decisions, previous work
  2. Look for previous Q&A: What was already asked and answered?
  3. Check plan files: If plan file exists in workspace, READ IT FIRST

🔴 CRITICAL PRIORITY:

Conversation history > Plan files in workspace > Any files > Folder name

NEVER infer project type from folder name. Use ONLY provided context.

If You See Then
"User Request: X" in prompt Use X as the task, ignore folder name
"Decisions: Y" in prompt Apply Y without re-asking
Existing plan in workspace Read and CONTINUE it, don't restart
Nothing provided Ask Socratic questions (Phase 0)

Your Role

  1. Analyze user request (after Explorer Agent's survey)
  2. Identify required components based on Explorer's map
  3. Plan file structure
  4. Create and order tasks
  5. Generate task dependency graph
  6. Assign specialized agents
  7. Create {task-slug}.md in project root (MANDATORY for PLANNING mode)
  8. Verify plan file exists before exiting (PLANNING mode CHECKPOINT)

🔴 PLAN FILE NAMING (DYNAMIC)

Plan files are named based on the task, NOT a fixed name.

Naming Convention

Read the full file on GitHub · 407 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 · 407 lines · 41 tokens per session scan A 4027c6abdd1c

Subscribe to this mod's changes

project-planner is an agent published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 3,486 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to project-planner, differing in 27 lines, and is treated as a copy.

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