planner

planner is a command for Claude Code from d-mariano/spicyclaude. It costs 18 tokens per session (4,112 once invoked), scanned A, original, MIT.

A command that creates an implementation plan from a product requirements document, or PRD—a document describing what software should do. It loads relevant development guidance and records which skills each task requires.

In plain words
What is it for?
Use it to plan an MVP, identify the project's programming language or tools, assign required skills to tasks, and define the testing impact before implementation.
Why use it?
It turns a broad feature request into smaller work items while keeping testing and project-specific development practices visible. TDD, or test-driven development, means using tests to guide production code changes.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; positional $N argument.

Good fit Use it to plan an MVP, identify the project's programming language or tools, assign required skills to tasks, and define the testing impact before implementation.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/d-mariano/spicyclaude/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/d-mariano/spicyclaude

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/commands/d-mariano/spicyclaude/planner.svg)](https://agentmods.dev/commands/d-mariano/spicyclaude/planner)
Your own site
<a href="https://agentmods.dev/commands/d-mariano/spicyclaude/planner"><img src="https://agentmods.dev/badge/commands/d-mariano/spicyclaude/planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,112 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 $0.00018 $0.04112
Opus 5 $0.00009 $0.02056
Sonnet 5 $0.00004 $0.00822
Haiku 4.5 $0.00002 $0.00411

Measured 7d ago against content hash 0b33af18e3d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

commands/planner.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a world class software engineer.

We are going to work on $1.

Make a detailed plan to accomplish this, based on $2.

Prioritize for rapid iteration and MVP development. Do NOT add scope.


Phase 0 — Load skills

Before pre-flight, load the skills that will shape the plan.

Available implementation skills (the catalog the per-task **Skills:** field draws from):

  • test-driven-development — for any production code
  • python-development — for Python projects
  • terraform-development — for Terraform projects

Steps:

  1. Always: Skill(test-driven-development). The plan's Test Impact section and tautology-detection logic depend on it (Phase 2 cites test-driven-development/testing-principles.md directly).
  2. Detect language now and load the matching skill: ls pyproject.toml *.tf 2>/dev/null — if pyproject.toml is present, Skill(python-development); if *.tf files are present, Skill(terraform-development).
  3. Annotate every parent task's **Skills:** field with the skills the implementer must load (subset of the catalog above). This is the contract /execute reads — a missing field will cause execute to fail loud.

Phase 1 — Pre-flight survey (do this BEFORE drafting the plan)

Most planning bugs come from skipping this step. Read the relevant code and write a "Pre-flight findings" section that answers:

  • Call-site survey. For each existing call site of code you're changing or extending: how does it currently behave on each axis you're changing? List heterogeneity explicitly. When extending a pattern across N call sites, the assumption that they're homogeneous is usually wrong — find the 1-of-N that breaks the pattern.
  • Existing-test impact. For each existing test that touches state your changes affect (globals, singletons, fixtures, autouse): predict which break and how to fix them. Fixtures you add or modify will collide with existing tests that depend on the old fixture's behavior — name them.
  • Same-file sibling-test enumeration. For every test file you're modifying, list ALL tests in the file in one of three buckets: CHANGED, UNCHANGED-but-named (so the implementer doesn't second-guess), UNCHANGED-irrelevant (don't enumerate). The cold-read implementer opens the file diff and wonders whether the tests you didn't touch should also have changed — the "do not touch these" list must be explicit, not implied.
  • Stale-reference grep. For any symbol being renamed or removed, run grep -rn <old-name> across the whole project and triage every hit. Imports and call sites change automatically with the rename; comments, docstrings, log messages, error strings, and test names rot silently.
  • Sibling-ticket coupling. For each sibling ticket this work blocks or unblocks: (a) name the API surface they depend on; confirm your surface meets their needs — if you can't confirm, flag as a pre-merge check with whoever owns the sibling; (b) deployment-window risk — what's the user-visible state of the system between this PR merging and the sibling landing? "It works" is a complete answer; so is "telemetry drops for tool X — acceptable pre-launch." Silence here is the bug.

Read the full file on GitHub · 210 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. 7d ago First seen · 210 lines · 0 tokens per session scan A 0b33af18e3d1

Subscribe to this mod's changes

planner is a command published in the GitHub repository d-mariano/spicyclaude (5 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 4,112 once invoked, about $0.0001 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 2026-08-31.