plan

plan is a command for Claude Code from akka/ai-marketplace. It costs 14 tokens per session (726 once invoked), scanned A, a copy of speckit.plan, Apache-2.0.

An implementation-planning command that turns a feature specification into a structured design plan and supporting files.

In plain words
What is it for?
Finding the target feature, loading its specification and templates, resolving open questions, and generating planning artifacts such as `research.md`, `data-model.md`, `contracts/`, and `quickstart.md`.
Why use it?
It gives development work a defined path before coding starts, including research, data design, API contracts, and checks against the project's rules.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the akka-specify plugin — 13 commands shipped together

Good fit Finding the target feature, loading its specification and templates, resolving open questions, and generating planning artifacts such as research.md, data-model.md, contracts/, and quickstart.md.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/akka/ai-marketplace/plan
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.

Clone the repo
git clone --depth 1 https://github.com/akka/ai-marketplace

Made for: Claude Code.

Or install akka-specify, the plugin that ships this one along with the rest of its 13 commands.

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/akka/ai-marketplace/plan/github.svg)](https://agentmods.dev/commands/akka/ai-marketplace/plan)
Your own site
<a href="https://agentmods.dev/commands/akka/ai-marketplace/plan"><img src="https://agentmods.dev/badge/commands/akka/ai-marketplace/plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for plan

Your own site · 80×15
<a href="https://agentmods.dev/commands/akka/ai-marketplace/plan"><img src="https://agentmods.dev/badge/commands/akka/ai-marketplace/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 726 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 78% 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 5.1 $0.00014 $0.00726
Opus 5 $0.00007 $0.00363
Sonnet 5 $0.00003 $0.00145
Haiku 4.5 $0.00001 $0.00073

Measured 8d ago against content hash 71a0ac569f08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 8d 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

78% identical to speckit.plan — 28 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.

plugins/akka-specify/commands/plan.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

  1. Setup: Call the akka_sdd_list_specs MCP tool to find the target feature. Then call akka_sdd_get_template with template_name="plan" to get the plan template. Identify the feature's spec path (FEATURE_SPEC) and plan destination (FEATURE_DIR/plan.md).

  2. Load context: Read FEATURE_SPEC and akka_sdd_constitution. Load IMPL_PLAN template (already copied).

  3. Execute plan workflow: Follow the structure in IMPL_PLAN template to:

    • Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
    • Fill Constitution Check section from constitution
    • Evaluate gates (ERROR if violations unjustified)
    • Phase 0: Generate research.md (resolve all NEEDS CLARIFICATION)
    • Phase 1: Generate data-model.md, contracts/, quickstart.md
    • Re-evaluate Constitution Check post-design
  4. Stop and report: Command ends after Phase 2 planning. Report branch, IMPL_PLAN path, and generated artifacts.

Phases

Phase 0: Outline & Research

  1. Extract unknowns from Technical Context above:

    • For each NEEDS CLARIFICATION → research task
    • For each dependency → best practices task
    • For each integration → patterns task
  2. Generate and dispatch research agents:

    For each unknown in Technical Context:
      Task: "Research {unknown} for {feature context}"
    For each technology choice:
      Task: "Find best practices for {tech} in {domain}"
    
  3. Consolidate findings in research.md using format:

    • Decision: [what was chosen]
    • Rationale: [why chosen]
    • Alternatives considered: [what else evaluated]

Output: research.md with all NEEDS CLARIFICATION resolved

Phase 1: Design & Contracts

Prerequisites: research.md complete

  1. Extract entities from feature specdata-model.md:
    • Entity name, fields, relationships
    • Validation rules from requirements
    • State transitions if applicable

Read the full file on GitHub · 86 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. 8d ago First seen · 86 lines · 14 tokens per session scan A 71a0ac569f08

Subscribe to this mod's changes

plan is a command published in the GitHub repository akka/ai-marketplace (6 stars, last pushed 9d ago), licensed Apache-2.0. It adds 14 tokens to every session and 726 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to speckit.plan, differing in 28 lines, and is treated as a copy.