plan

A planning workflow that researches a codebase, clarifies requirements, and produces an implementation plan before coding begins. The plan can be reviewed and approved first.

In plain words
What is it for?
Use it when a change needs codebase research, clarification, file-level planning, or team review before any code is written.
Why use it?
It helps prevent coding against incomplete requirements or missing context and gives the team a chance to adjust the approach before implementation starts.

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/kensaurus/cursor-kenji/plan
Clone the repo
git clone --depth 1 https://github.com/kensaurus/cursor-kenji
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 503 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 $0.00019 $0.00503
Opus 5 $0.00010 $0.00251
Sonnet 5 $0.00004 $0.00101
Haiku 4.5 $0.00002 $0.00050

Measured 2d ago against content hash 733c71c4627d, 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 2d 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/plan.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Before Coding

Purpose

Use Plan Mode to research, clarify requirements, and produce an approved implementation plan before writing a single line of code.

Runtime note: Shift+Tab toggles plan mode in both Cursor and Claude Code. The "Save to workspace → .cursor/plans/" step and the mode-selector dropdown are Cursor-specific. In Claude Code, approve the plan through the plan-mode prompt (ExitPlanMode); there is no .cursor/plans/ file.

Process

1. Activate Plan Mode

Press Shift+Tab in the agent input to toggle Plan Mode, or use the mode selector dropdown.

The agent will:

  • Search the codebase for relevant files and context
  • Ask clarifying questions about requirements
  • Produce a detailed plan with file paths and code references
  • Wait for approval before building

2. Review & Refine the Plan

Plans open as Markdown. Edit directly to:

  • Remove unnecessary steps
  • Adjust the approach or architecture
  • Add context the agent missed
  • Specify patterns, libraries, or constraints

Save to workspace: Click "Save to workspace" → stored at .cursor/plans/. Useful for:

  • Team documentation
  • Resuming interrupted work
  • Context for future agents on the same feature

3. Approve & Execute

Once the plan looks right, approve it. The agent switches to implementation mode.

If the result doesn't match expectations:

  1. Revert the changes
  2. Refine the plan with more specifics
  3. Re-run — faster than fixing a wrong implementation

4. Checklist

  • Requirements clearly stated
  • Existing patterns identified (check codebase first)
  • Affected files listed
  • Edge cases noted
  • Plan saved to .cursor/plans/ if significant
  • Plan approved before implementation starts

When to Use

  • New features touching multiple files
  • Architectural decisions
  • Unfamiliar areas of the codebase
  • Any task where the wrong direction wastes significant time

When to Skip

  • Small, isolated changes you've done many times
  • Bug fixes with an obvious root cause
  • Single-file edits with clear requirements

Read the full file on GitHub · 66 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. 2d ago First seen · 66 lines · 19 tokens per session scan A 733c71c4627d

Subscribe to this mod's changes

plan is a command published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 4d ago), licensed MIT. It adds 19 tokens to every session and 503 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.