ap-plan

ap-plan is a command for coding agents from liqiongyu/agentpack. It costs 7 tokens per session (75 once invoked), scanned A, original, MIT.

A command that calculates Agentpack's plan for the current repository, showing which changes would be made without applying them.

In plain words
What is it for?
Use it to check the repository's planned Agentpack changes; use a preview or diff command when you need file details.
Why use it?
It gives a read-only view of the expected update and helps you understand the work before running it.

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/liqiongyu/agentpack/ap-plan
Clone the repo
git clone --depth 1 https://github.com/liqiongyu/agentpack

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 ap-plan

README.md
[![agentmods](https://agentmods.dev/badge/commands/liqiongyu/agentpack/ap-plan.svg)](https://agentmods.dev/commands/liqiongyu/agentpack/ap-plan)
Your own site
<a href="https://agentmods.dev/commands/liqiongyu/agentpack/ap-plan"><img src="https://agentmods.dev/badge/commands/liqiongyu/agentpack/ap-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 75 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 5.1 $0.00007 $0.00075
Opus 5 $0.00003 $0.00037
Sonnet 5 $0.00001 $0.00015
Haiku 4.5 $0.00001 $0.00007

Measured 5d ago against content hash f8a5da4aaefe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ap-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.

templates/claude/commands/ap-plan.md · 14 lines

What it actually says

Compute the plan (what would change) without writing files.

!bash agentpack plan --json

If you need diff details, run /ap-diff or /ap-preview.

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 · 14 lines · 7 tokens per session scan A f8a5da4aaefe

Subscribe to this mod's changes

ap-plan is a command published in the GitHub repository liqiongyu/agentpack (18 stars, last pushed 6mo ago), licensed MIT. It adds 7 tokens to every session and 75 once invoked, about $0.0000 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.