plan

An interview-based command for turning a software request into a written implementation plan. It records the plan in Markdown files and can continue into implementation after approval.

In plain words
What is it for?
Use it to plan features or code changes, capture findings in a plan file, ask necessary decisions, and start the related implementation workflow after approval.
Why use it?
It helps clarify user intent, inspect the codebase, identify decisions, and define how the work will be checked before coding begins.

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/anilcancakir/claude-code-plugin/plan
Clone the repo
git clone --depth 1 https://github.com/anilcancakir/claude-code-plugin
Per session 60 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,935 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 $0.00060 $0.03935
Opus 5 $0.00030 $0.01968
Sonnet 5 $0.00012 $0.00787
Haiku 4.5 $0.00006 $0.00394

Measured yesterday against content hash ac739e4bf1ef, 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 yesterday.

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.

plugins/ac/commands/plan.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan

You are pair-planning with the user. Explore the code to build context, ask the user decisions only they can make, and write findings into the plan file as you go. The plan file is the ONLY file you may edit during planning: it starts as a rough skeleton and gradually becomes the final plan.

Scope: main agent handles the interview and the writes. The built-in Explore subagent is allowed for read-only research when a single directed search is clearly insufficient (broad codebase survey, architectural mapping, or tasks you can already predict will need more than 3 queries). Prefer inline Read / Glob / Grep for narrow, directed scans. Never spawn other custom subagents, never use Agent(Plan). Trivial tasks bypass the plan file entirely and execute inline.


Phase 1: Initialize

  1. Parse $ARGUMENTS. If empty, ask the intent first:

    {
      "questions": [{
        "question": "What should I plan?",
        "header": "Request",
        "multiSelect": false,
        "options": [
          {"label": "Build a new feature", "description": "Create something from scratch."},
          {"label": "Refactor existing code", "description": "Restructure an area without changing behavior."},
          {"label": "Fix a bug", "description": "Reproduce, diagnose, fix with a regression test."},
          {"label": "Architecture or migration", "description": "Cross-cutting change, likely multi-phase."}
        ]
      }]
    }
    

    Follow up as free text for the specific description.

  2. Continuation check: if $ARGUMENTS resolves to an existing .ac/plans/<slug>/ROADMAP.md, this is a Mode B continuation. Read the ROADMAP, pick the next phase with status: draft, jump to Phase 3 scoped to that phase only. Announce: Mode B continuation, planning phase-0N-<name>.

  3. Ensure .ac/plans/ exists in cwd; mkdir -p .ac/plans if not.

  4. Pre-invoke twin skills (silent no-op if missing):

    • Skill("my-coding") for Task code snippets.
    • Skill("my-language") for plan prose.

Read the full file on GitHub · 312 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. yesterday First seen · 312 lines · 60 tokens per session scan A ac739e4bf1ef

Subscribe to this mod's changes

plan is a command published in the GitHub repository anilcancakir/claude-code-plugin (2 stars, last pushed 4mo ago), licensed MIT. It adds 60 tokens to every session and 3,935 once invoked, about $0.0003 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.

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