plan

plan is a command for coding agents from Cyvid7-Darus10/claude-code-config. It costs 25 tokens per session (797 once invoked), scanned A, a copy of plan, MIT.

A command that turns a software request into a written implementation plan. It restates requirements, identifies risks and dependencies, estimates complexity, and waits for approval before code changes.

In plain words
What is it for?
Use it before new features, major architecture changes, complex refactoring, or work involving several files or unclear requirements.
Why use it?
It gives developers a chance to clarify the work and review the approach before implementation begins, reducing avoidable rework.

Command

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/cyvid7-darus10/claude-code-config/plan
Clone the repo
git clone --depth 1 https://github.com/Cyvid7-Darus10/claude-code-config

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/cyvid7-darus10/claude-code-config/plan.svg)](https://agentmods.dev/commands/cyvid7-darus10/claude-code-config/plan)
Your own site
<a href="https://agentmods.dev/commands/cyvid7-darus10/claude-code-config/plan"><img src="https://agentmods.dev/badge/commands/cyvid7-darus10/claude-code-config/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 797 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% 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 $0.00025 $0.00797
Opus 5 $0.00013 $0.00398
Sonnet 5 $0.00005 $0.00159
Haiku 4.5 $0.00003 $0.00080

Measured 3d ago against content hash b3c2e2eac500, 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 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

88% identical to plan — 37 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.

commands/plan.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Command

This command invokes the planner agent to create a comprehensive implementation plan before writing any code.

What This Command Does

  1. Restate Requirements - Clarify what needs to be built
  2. Identify Risks - Surface potential issues and blockers
  3. Create Step Plan - Break down implementation into phases
  4. Wait for Confirmation - MUST receive user approval before proceeding

When to Use

Use /plan when:

  • Starting a new feature
  • Making significant architectural changes
  • Working on complex refactoring
  • Multiple files/components will be affected
  • Requirements are unclear or ambiguous

How It Works

The planner agent will:

  1. Analyze the request and restate requirements in clear terms
  2. Break down into phases with specific, actionable steps
  3. Identify dependencies between components
  4. Assess risks and potential blockers
  5. Estimate complexity (High/Medium/Low)
  6. Present the plan and WAIT for your explicit confirmation

Example Usage

User: /plan I need to add real-time notifications when markets resolve

Agent (planner):
# Implementation Plan: Real-Time Market Resolution Notifications

## Requirements Restatement
- Send notifications to users when markets they're watching resolve
- Support multiple notification channels (in-app, email, webhook)
- Ensure notifications are delivered reliably
- Include market outcome and user's position result

## Implementation Phases

### Phase 1: Database Schema
- Add notifications table with columns: id, user_id, market_id, type, status, created_at
- Add user_notification_preferences table for channel preferences
- Create indexes on user_id and market_id for performance

### Phase 2: Notification Service
- Create notification service in lib/notifications.ts
- Implement notification queue using BullMQ/Redis
- Add retry logic for failed deliveries
- Create notification templates

### Phase 3: Integration Points
- Hook into market resolution logic (when status changes to "resolved")
- Query all users with positions in market
- Enqueue notifications for each user

### Phase 4: Frontend Components
- Create NotificationBell component in header
- Add NotificationList modal
- Implement real-time updates via Supabase subscriptions
- Add notification preferences page

## Dependencies
- Redis (for queue)
- Email service (SendGrid/Resend)
- Supabase real-time subscriptions

## Risks
- HIGH: Email deliverability (SPF/DKIM required)
- MEDIUM: Performance with 1000+ users per market
- MEDIUM: Notification spam if markets resolve frequently
- LOW: Real-time subscription overhead

## Estimated Complexity: MEDIUM
- Backend: 4-6 hours
- Frontend: 3-4 hours
- Testing: 2-3 hours
- Total: 9-13 hours

**WAITING FOR CONFIRMATION**: Proceed with this plan? (yes/no/modify)

Read the full file on GitHub · 116 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 · 116 lines · 25 tokens per session scan A b3c2e2eac500

Subscribe to this mod's changes

plan is a command published in the GitHub repository Cyvid7-Darus10/claude-code-config (2 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 797 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to plan, differing in 37 lines, and is treated as a copy.