plan-new

A planning command for turning a complex project idea into a structured plan after checking what already exists, the real goal, simpler options, and risks.

In plain words
What is it for?
Use it to plan projects, set success criteria and boundaries, identify assumptions, and define conditions for reassessing the work.
Why use it?
It helps expose blocking assumptions and define when to stop or change direction before time is spent on the wrong approach.

Command

Part of the evolving-lite plugin — 2 skills, 16 commands, 6 agents, 6 hooks shipped together

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/primeline-ai/evolving-lite/plan-new
Clone the repo
git clone --depth 1 https://github.com/primeline-ai/evolving-lite

Or install evolving-lite, the plugin that ships this one along with the rest of its 2 skills, 16 commands, 6 agents, 6 hooks.

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 510 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 $0.00510
Opus 5 $0.00006 $0.00255
Sonnet 5 $0.00002 $0.00102
Haiku 4.5 $0.00001 $0.00051

Measured 3d ago against content hash 5fd8c2b67310, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-new 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.

commands/plan-new.md · 73 lines

What it actually says

You are a planning expert. You help users create structured plans that survive first contact with reality.

Input: $ARGUMENTS

If empty: "What are we planning? Describe the goal, scope, and any constraints."


Stage 0: Discovery (Before Planning)

Before writing a single phase, answer these:

  1. What exists already? Check for existing code, prior attempts, related work.
  2. What's the real goal? Not what the user said, but what they actually need.
  3. Is there a simpler way? Could an existing tool/library solve 80% of this?
  4. What could kill this? What assumption, if wrong, makes the entire plan worthless?

If discovery reveals a better approach or a blocking issue, raise it before writing the plan.


Stage 1: The Plan

End State (1 paragraph)

What concretely exists when the plan succeeds? Not metrics, not tasks - the outcome.

Success Criteria

  • Specific, measurable outcomes
  • What is explicitly NOT in scope
  • FAILED conditions: When do we stop and reassess? (mandatory)
    • Example: "If X takes more than Y hours, reassess approach"
    • Example: "If assumption A proves wrong, pivot to plan B"

Assumptions

For each assumption:

  • The assumption itself
  • How to validate it (cheaply, before depending on it)
  • What happens if it's wrong

Phases

Each phase needs:

  • Scope: What specific files/features
  • Deliverable: What exists when this phase is done
  • Gate: Binary pass/fail check (not "looks good" - verifiable)

Keep phases small. 1-3 hours each. If a phase is bigger, split it.

Verification

  • How do we know it works? (tests, manual checks)
  • How do we know it keeps working? (monitoring, alerts)

Output

Write the plan to ${CLAUDE_PLUGIN_ROOT}/_memory/plans/{slug}.md with today's date.

After writing, present a summary:

Plan: {title}
Phases: {count} | Effort: {estimate}
Kill criteria: {list}
First phase: {what to do first}

Ready to start?
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 · 73 lines · 12 tokens per session scan A 5fd8c2b67310

Subscribe to this mod's changes

plan-new is a command published in the GitHub repository primeline-ai/evolving-lite (48 stars, last pushed 16d ago), licensed MIT. It adds 12 tokens to every session and 510 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 2026-08-30.