plan-feature

plan-feature is a command for Claude Code from vishnu2kmohan/mcp-server-langgraph. It costs 17 tokens per session (1,496 once invoked), scanned A, original, MIT.

A command that creates a detailed plan for implementing a new software feature.

In plain words
What is it for?
Planning feature work, defining success and acceptance criteria, considering architecture and data changes, and identifying affected systems and dependencies.
Why use it?
It turns an idea into smaller questions and tasks covering requirements, design, affected modules, data, dependencies, and acceptance criteria.

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/vishnu2kmohan/mcp-server-langgraph/plan-feature
Clone the repo
git clone --depth 1 https://github.com/vishnu2kmohan/mcp-server-langgraph

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-feature

README.md
[![agentmods](https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/plan-feature.svg)](https://agentmods.dev/commands/vishnu2kmohan/mcp-server-langgraph/plan-feature)
Your own site
<a href="https://agentmods.dev/commands/vishnu2kmohan/mcp-server-langgraph/plan-feature"><img src="https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/plan-feature.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,496 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 $0.00017 $0.01496
Opus 5 $0.00009 $0.00748
Sonnet 5 $0.00003 $0.00299
Haiku 4.5 $0.00002 $0.00150

Measured 3d ago against content hash 47684999b08d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-feature 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/plan-feature.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Feature Implementation

Create a detailed implementation plan for a new feature using deep thinking and structured task breakdown.

Usage

/plan-feature

This command uses "think harder" mode for comprehensive analysis.

Planning Framework

Phase 1: Requirements Analysis

Questions to Answer:

  1. What needs to be built?

    • Feature description
    • Success criteria
    • Acceptance criteria
  2. Why is it needed?

    • Business value
    • User benefit
    • Technical debt addressed
  3. Who will use it?

    • End users
    • Internal systems
    • APIs
  4. When is it needed?

    • Deadline
    • Milestone
    • Priority level

Phase 2: Technical Design

Architecture Considerations:

  • Which modules will be affected?
  • What new modules need to be created?
  • How does it integrate with existing code?
  • What design patterns apply?
  • Are there relevant ADRs to follow?

Data Model:

  • What data structures are needed?
  • Database schema changes required?
  • API request/response models?
  • Validation rules?

Dependencies:

  • External libraries needed?
  • Internal module dependencies?
  • Infrastructure requirements (Redis, PostgreSQL, etc.)?
  • Configuration changes needed?

Phase 3: Task Breakdown

Create detailed TodoWrite task list with these categories:

Tests (TDD - Write First!):

  • Unit tests for core logic
  • Integration tests for APIs
  • Edge case tests
  • Error scenario tests
  • Performance tests (if applicable)

Implementation:

  • Data models (Pydantic classes)
  • Business logic (core functions/classes)
  • API endpoints (FastAPI routes)
  • Middleware (if needed)
  • Background tasks (if needed)

Integration:

  • Database migrations (if schema changes)
  • Configuration updates (env vars, config files)
  • Dependency injection wiring
  • OpenTelemetry instrumentation
  • LangSmith tracing (if LLM-related)

Documentation:

  • Docstrings for all public APIs
  • CHANGELOG.md entry
  • ADR (if architectural decision)
  • README update (if user-facing)
  • API documentation (OpenAPI)

Read the full file on GitHub · 238 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 · 238 lines · 17 tokens per session scan A 47684999b08d

Subscribe to this mod's changes

plan-feature is a command published in the GitHub repository vishnu2kmohan/mcp-server-langgraph (4 stars, last pushed 10d ago), licensed MIT. It adds 17 tokens to every session and 1,496 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.