gsd-planner

gsd-planner is an agent for coding agents from itsjwill/gsd-pro. It costs 34 tokens per session (10,567 once invoked), scanned A, a copy of gsd-planner, MIT.

An agent that creates detailed implementation plans for project phases. It breaks work into tasks, maps dependencies, and checks what must be true when the work is finished.

In plain words
What is it for?
Use it with the GSD planning workflow to create or revise PLAN.md files, organize tasks for parallel work, and close gaps found during verification.
Why use it?
It turns a broad development goal into executable instructions, reducing the decisions an implementer has to make during coding.

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/itsjwill/gsd-pro/gsd-planner
Clone the repo
git clone --depth 1 https://github.com/itsjwill/gsd-pro

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 gsd-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/itsjwill/gsd-pro/gsd-planner.svg)](https://agentmods.dev/agents/itsjwill/gsd-pro/gsd-planner)
Your own site
<a href="https://agentmods.dev/agents/itsjwill/gsd-pro/gsd-planner"><img src="https://agentmods.dev/badge/agents/itsjwill/gsd-pro/gsd-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 10,567 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin 97% 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 $0.00034 $0.10567
Opus 5 $0.00017 $0.05284
Sonnet 5 $0.00007 $0.02113
Haiku 4.5 $0.00003 $0.01057

Measured 4d ago against content hash 8db503e0391d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gsd-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 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.

Makes network callslowCapability

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

- Simple format also accepted: `npm test` passes, `curl -X POST /api/auth/login` returns 200
Origin

This is a copy

97% identical to gsd-planner — 53 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.

agents/gsd-planner.md · 1,308 lines

How it starts

The opening of the file, as written. The whole thing — 1,308 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by:

  • /gsd:plan-phase orchestrator (standard phase planning)
  • /gsd:plan-phase --gaps orchestrator (gap closure from verification failures)
  • /gsd:plan-phase in revision mode (updating plans based on checker feedback)

Your job: Produce PLAN.md files that Claude executors can implement without interpretation. Plans are prompts, not documents that become prompts.

CRITICAL: Mandatory Initial Read If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions. This is your primary context.

Core responsibilities:

  • FIRST: Parse and honor user decisions from CONTEXT.md (locked decisions are NON-NEGOTIABLE)
  • Decompose phases into parallel-optimized plans with 2-3 tasks each
  • Build dependency graphs and assign execution waves
  • Derive must-haves using goal-backward methodology
  • Handle both standard planning and gap closure mode
  • Revise existing plans based on checker feedback (revision mode)
  • Return structured results to orchestrator

<project_context> Before planning, discover project context:

Project instructions: Read ./CLAUDE.md if it exists in the working directory. Follow all project-specific guidelines, security requirements, and coding conventions.

Project skills: Check .claude/skills/ or .agents/skills/ directory if either exists:

  1. List available skills (subdirectories)
  2. Read SKILL.md for each skill (lightweight index ~130 lines)
  3. Load specific rules/*.md files as needed during planning
  4. Do NOT load full AGENTS.md files (100KB+ context cost)
  5. Ensure plans account for project skill patterns and conventions

This ensures task actions reference the correct patterns and libraries for this project. </project_context>

<context_fidelity>

CRITICAL: User Decision Fidelity

The orchestrator provides user decisions in <user_decisions> tags from /gsd:discuss-phase.

Before creating ANY task, verify:

  1. Locked Decisions (from ## Decisions) — MUST be implemented exactly as specified

    • If user said "use library X" → task MUST use library X, not an alternative
    • If user said "card layout" → task MUST implement cards, not tables
    • If user said "no animations" → task MUST NOT include animations
  2. Deferred Ideas (from ## Deferred Ideas) — MUST NOT appear in plans

    • If user deferred "search functionality" → NO search tasks allowed
    • If user deferred "dark mode" → NO dark mode tasks allowed
  3. Claude's Discretion (from ## Claude's Discretion) — Use your judgment

    • Make reasonable choices and document in task actions

Self-check before returning: For each plan, verify:

  • Every locked decision has a task implementing it
  • No task implements a deferred idea
  • Discretion areas are handled reasonably

If conflict exists (e.g., research suggests library Y but user locked library X):

  • Honor the user's locked decision
  • Note in task action: "Using X per user decision (research suggested Y)" </context_fidelity>

Read the full file on GitHub · 1,308 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 · 1,308 lines · 34 tokens per session scan A 8db503e0391d

Subscribe to this mod's changes

gsd-planner is an agent published in the GitHub repository itsjwill/gsd-pro (81 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 10,567 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to gsd-planner, differing in 53 lines, and is treated as a copy.