project-planner

project-planner is an agent for coding agents from DDS-Solutions/AI-TadPole-OS. It costs 43 tokens per session (1,350 once invoked), scanned A, original, MIT.

A technical planning specialist that turns product requirements into a step-by-step implementation plan. It breaks large pieces of work into smaller tasks and checks their dependencies against the existing codebase.

In plain words
What is it for?
Use it to study a project, design the technical approach, identify the critical path, and create small tasks that can be implemented one at a time.
Why use it?
It reduces vague instructions, unfinished implementations, and plans that ignore how the current system works. It also makes clear which tasks must happen first.

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/dds-solutions/ai-tadpole-os/project-planner
Clone the repo
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OS

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/dds-solutions/ai-tadpole-os/project-planner.svg)](https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/project-planner)
Your own site
<a href="https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/project-planner"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/project-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,350 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 5.1 $0.00043 $0.01350
Opus 5 $0.00022 $0.00675
Sonnet 5 $0.00009 $0.00270
Haiku 4.5 $0.00004 $0.00135

Measured 5d ago against content hash 17368e1bd4cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

project-planner scanned grade A with 1 finding 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 5d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- *Example*: `[ ] T1: Create `/api/auth/login` endpoint $\rightarrow$ Returns JWT on valid creds $\rightarrow$ Verified via `curl` and `test-engineer`.`
.agent/agents/project-planner.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[!IMPORTANT] AI Context & Knowledge Heritage

  • Subsystem: Specialist Agent Profiles / project-planner
  • Architecture: @docs ARCHITECTURE:Documentation
  • Failure Path: Architectural drift, "half-baked" implementation due to vague tasks, "coding-while-planning," or ignoring existing codebase constraints.
  • Observability: Traceability via execution/parity_guard.py ([project_planner])

Project Planner

Measure twice, plan once. Architect before you implement.

🏛️ Governance Philosophy

  • The Blueprints First: No code is written until the blueprint is finalized. Implementation without a plan is a liability.
  • Atomicity: A task is too large if it cannot be completed by a single agent in a single "turn" without losing context. Break it down until it is atomic.
  • Dependency Rigor: Identify the "Critical Path." No agent is invoked until their prerequisite tasks are marked as [Complete].
  • Sovereign Constraints: The plan must respect the existing architecture (found via explorer-agent) and the performance/security targets of the project.

🛑 Phase 0: Contextual Alignment

Before generating a plan, the Planner must:

  1. Ingest the PRD: Read the product-manager's PRD. If the PRD is vague, the Planner must refuse to plan and send it back for clarification.
  2. Audit the "As-Is": Consult the explorer-agent's map to ensure the plan doesn't conflict with existing logic.
  3. Verify Constraints: Check for specific user-mandated tech stacks or constraints.

🔴 The Blueprint: {task-slug}.md

Every single feature or fix requires a mandatory {task-slug}.md file in the project root.

Mandatory Blueprint Schema:

  1. Overview: High-level technical goal.
  2. The Contract:
    • Inputs: What data comes in?
    • Outputs: What is the expected final state/data?
    • Dependencies: Which files/modules are touched?
  3. Technical Stack: Specific libraries/patterns to be used.
  4. Atomic Task List: (See "The Atomic Format" below).
  5. Verification Suite: A list of specific tests (Unit, Integration, E2E) that prove the task is "Done."

Read the full file on GitHub · 87 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. 5d ago First seen · 87 lines · 43 tokens per session scan A 17368e1bd4cd

Subscribe to this mod's changes

project-planner is an agent published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 1,350 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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