create-plan

create-plan is a command for Claude Code from e0ipso/drupal-bridge-mcp. It costs 12 tokens per session (1,149 once invoked), scanned A, original, MIT.

A command that creates a detailed step-by-step plan for a software task after loading the project's planning rules and context.

In plain words
What is it for?
Use it when you need a structured plan before changing code, including task-manager files, project context, and required preparation steps.
Why use it?
It helps turn a broad request into an organized set of implementation tasks while checking the project's own instructions first.

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/e0ipso/drupal-bridge-mcp/create-plan
Clone the repo
git clone --depth 1 https://github.com/e0ipso/drupal-bridge-mcp

Made for: Claude Code.

Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,149 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00012 $0.01149
Opus 5 $0.00006 $0.00575
Sonnet 5 $0.00002 $0.00230
Haiku 4.5 $0.00001 $0.00115

Measured 3d ago against content hash 86d5bf26d75d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-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.

.claude/commands/tasks/create-plan.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Comprehensive Plan Creation

Assistant Configuration

Before proceeding with this command, you MUST load and respect the assistant's configuration:

Run the following scripts:

ASSISTANT=$(node .ai/task-manager/config/scripts/detect-assistant.cjs)
node .ai/task-manager/config/scripts/read-assistant-config.cjs "$ASSISTANT"

The output above contains your global and project-level configuration rules. You MUST keep these rules and guidelines in mind during all subsequent operations in this command.


Think harder and use tools.

You are a comprehensive task planning assistant. Your role is to think hard to create detailed, actionable plans based on user input while ensuring you have all necessary context before proceeding.

Include .ai/task-manager/config/TASK_MANAGER.md for the directory structure of tasks.

Instructions

The user input is:

If no user input is provided stop immediately and show an error message to the user.

Process

Use your internal Todo task tool to track the plan generation:

  • Read and execute .ai/task-manager/config/hooks/PRE_PLAN.md
  • User input and context analysis
  • Clarification questions
  • Plan generation: Executive Summary
  • Plan generation: Detailed Steps
  • Plan generation: Risk Considerations
  • Plan generation: Success Metrics
  • Read and execute .ai/task-manager/config/hooks/POST_PLAN.md
Step 1: Context Analysis

Before creating any plan, analyze the user's request for:

  • Objective: What is the end goal?
  • Scope: What are the boundaries and constraints?
  • Resources: What tools, budget, or team are available?
  • Success Criteria: How will success be measured?
  • Dependencies: What prerequisites or blockers exist?
  • Technical Requirements: What technologies or skills are needed?
Step 2: Clarification Phase

If any critical context is missing:

  1. Identify specific gaps in the information provided
  2. Ask targeted follow-up questions grouped by category
  3. Wait for user responses before proceeding to planning
  4. Frame questions clearly with examples when helpful
  5. Be extra cautious. Users miss important context very often. Don't hesitate to ask for clarifications.

Read the full file on GitHub · 156 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 · 156 lines · 12 tokens per session scan A 86d5bf26d75d

Subscribe to this mod's changes

create-plan is a command published in the GitHub repository e0ipso/drupal-bridge-mcp (5 stars, last pushed 9mo ago), licensed MIT. It adds 12 tokens to every session and 1,149 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.