plan

plan is a skill for Claude Code, Codex from owainlewis/blueprint. It costs 42 tokens per session (1,106 once invoked), scanned A, original, MIT.

A planning tool that turns an agreed design or brief into ordered implementation tasks for separate coding-agent runs. Each task describes a concrete result without leaving product or technical decisions unresolved.

In plain words
What is it for?
Use it to plan feature work, implementation tickets, refactors, or project milestones after the main approach has been decided.
Why use it?
It helps break larger work into manageable pieces while keeping tasks clear, dependent, and independently deliverable.

Skill for Claude CodeCodex

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 skills/owainlewis/blueprint/plan
Any agent
npx skills add owainlewis/blueprint --skill plan
Clone the repo
git clone --depth 1 https://github.com/owainlewis/blueprint

Made for: Claude Code, Codex.

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/skills/owainlewis/blueprint/plan.svg)](https://agentmods.dev/skills/owainlewis/blueprint/plan)
Your own site
<a href="https://agentmods.dev/skills/owainlewis/blueprint/plan"><img src="https://agentmods.dev/badge/skills/owainlewis/blueprint/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,106 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 $0.00042 $0.01106
Opus 5 $0.00021 $0.00553
Sonnet 5 $0.00008 $0.00221
Haiku 4.5 $0.00004 $0.00111

Measured 5d ago against content hash 3a30f99f8e1e, 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 5d 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.

skills/plan/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan

Create tasks that a new agent can finish without making product or technical decisions. Split work by working result, not by file, layer, or team boundary.

Process

  1. Read the source, repository instructions, and relevant code.
  2. Stop and return to design if an unresolved choice would change behavior, interfaces, data, security, scale, performance, compatibility, operations, cost, or proof.
  3. Split the work into tasks that each deliver working behavior, fit one agent run, and produce one focused pull request.
  4. Keep shared contracts in one task. Do not make two tasks answer the same question independently.
  5. Separate refactoring when it would hide a behavior change.
  6. Order tasks by dependency. Add a milestone only when it creates a useful delivery or review boundary.
  7. Return the plan in chat. Create tracker tickets only when the user asks. Never write a plan document.
  8. Stop after planning. Do not implement.

Write for two readers

Each task is read by a human and executed by an agent.

The first sections must let a human understand the task in under a minute. State the concrete problem, the result, and why it matters in everyday words. Do not use requirement IDs, implementation details, undefined project terms, or acronyms unfamiliar to the intended readers there.

Put task-specific decisions, interfaces, failure rules, and security constraints in Agent notes. Link the design or decided source for shared architecture and full requirement definitions. Use a repository path or URL that will resolve from the published ticket, and pin the decided version when later edits could change the contract. If no durable source exists, include the required shared decisions in Agent notes. Do not copy the whole source into every ticket.

A task stands alone when its purpose, boundary, dependencies, non-negotiable decisions, and proof are clear. It does not need to repeat background that the linked source already explains.

Task shape

Use this compact shape. Omit optional sections that add no information.

Read the full file on GitHub · 97 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. 5d ago First seen · 97 lines · 42 tokens per session scan A 3a30f99f8e1e

Subscribe to this mod's changes

plan is a skill published in the GitHub repository owainlewis/blueprint (375 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 1,106 once invoked, about $0.0002 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 2026-08-30.