plan

plan is a command for Claude Code from Rito-w/claude-code-best-practice-zh. It costs 7 tokens per session (2,712 once invoked), scanned A, a copy of plan, MIT.

A command that creates planning documents for a feature in a repository's RPI workflow.

In plain words
What is it for?
Use it when a feature folder and a research report with a GO recommendation already exist, to produce the feature's plan files.
Why use it?
It turns an approved research result into organized specifications, technical design, implementation phases, and validation steps.

Command for Claude Code

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 commands/rito-w/claude-code-best-practice-zh/plan
Clone the repo
git clone --depth 1 https://github.com/Rito-w/claude-code-best-practice-zh

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 plan

README.md
[![agentmods](https://agentmods.dev/badge/commands/rito-w/claude-code-best-practice-zh/plan.svg)](https://agentmods.dev/commands/rito-w/claude-code-best-practice-zh/plan)
Your own site
<a href="https://agentmods.dev/commands/rito-w/claude-code-best-practice-zh/plan"><img src="https://agentmods.dev/badge/commands/rito-w/claude-code-best-practice-zh/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,712 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00007 $0.02712
Opus 5 $0.00003 $0.01356
Sonnet 5 $0.00001 $0.00542
Haiku 4.5 $0.00001 $0.00271

Measured 4d ago against content hash 1417e095d66c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan 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.

Origin

This is a copy

100% identical to plan — 0 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.

development-workflows/rpi/.claude/commands/rpi/plan.md · 417 lines

How it starts

The opening of the file, as written. The whole thing — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

You MUST parse the user input to extract the feature slug (the folder name in rpi/).

Purpose

This command creates comprehensive planning documentation for a feature request. It generates detailed specifications, technical design, and implementation plans in the feature's RPI folder.

Prerequisites:

  • Feature folder exists at rpi/{feature-slug}/
  • Research completed with GO recommendation (rpi/{feature-slug}/research/RESEARCH.md exists)

Output Location: All files saved to rpi/{feature-slug}/plan/

This is Step 3 of the RPI Workflow (after Research approves with GO).

Outline

  1. Load Context: Read research report and project constitution (if exists)
  2. Understand Requirements: Parse feature scope and requirements
  3. Analyze Technical Requirements: Review architecture and dependencies
  4. Design Architecture: Create high-level architecture and API contracts
  5. Break Down Implementation: Create phased task breakdown
  6. Generate Documentation: Create structured documentation files
  7. Validate Output: Ensure all quality gates pass
  8. Report Completion: Provide summary and next steps

Phases

Phase 0: Load Context

Prerequisites: Feature slug provided

Process:

  1. Verify research completed:

    • Check rpi/{feature-slug}/research/RESEARCH.md exists
    • Verify GO recommendation (warn if NO-GO or CONDITIONAL)
  2. Read research findings:

    • Extract product analysis
    • Extract technical discovery
    • Extract technical feasibility assessment
    • Note risks and constraints
  3. Load project constitution (if exists):

    • Look for a constitution or principles document in the repository
    • Extract relevant constraints and preferences

Outputs:

  • Research summary
  • Constitutional context (if found)
  • Planning constraints

Validation:

  • Research report exists
  • GO recommendation confirmed
  • Constitution loaded (if exists)

Read the full file on GitHub · 417 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 · 417 lines · 7 tokens per session scan A 1417e095d66c

Subscribe to this mod's changes

plan is a command published in the GitHub repository Rito-w/claude-code-best-practice-zh (10 stars, last pushed 2mo ago), licensed MIT. It adds 7 tokens to every session and 2,712 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to plan, differing in 0 lines, and is treated as a copy.