plan

A command that creates a strictly ordered implementation plan for coding work. Plan mode is a session setting where the agent prepares steps before making changes.

In plain words
What is it for?
It prepares a waterfall task plan grounded in software-development practices.
Why use it?
It turns a larger request into a clear sequence and prevents implementation from starting without an approved plan.

Command

Part of the ccf plugin — 1 skill, 6 commands, 6 agents, 6 hooks, 2 MCP servers 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/naniiluja/ccf/plan
Clone the repo
git clone --depth 1 https://github.com/naniiluja/ccf

Or install ccf, the plugin that ships this one along with the rest of its 1 skill, 6 commands, 6 agents, 6 hooks, 2 MCP servers.

Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,844 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 $0.00020 $0.03844
Opus 5 $0.00010 $0.01922
Sonnet 5 $0.00004 $0.00769
Haiku 4.5 $0.00002 $0.00384

Measured 2d ago against content hash a178b6710992, 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 2d 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.

plugins/ccf/commands/plan.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are running CCF /ccf:plan.

0. Plan-mode gate (backup for the hook)

STOP. Confirm this session is in plan mode before anything else. If it is not, refuse to continue: tell the user to enter plan mode (Shift+Tab cycles to 'plan', or start the session with --permission-mode plan), then re-run /ccf:plan. Do not run any step below. The plan-mode-guard hook blocks this deterministically too; this sentence is the backup for the case where the hook does not fire.

0a. Style for user-facing text (applies to every step below that writes text into the plan)

Scope boundary: this rule governs CCF-generated text meant for the human reader (the plan body, task files, explanations to the user). It does NOT apply to the CCF repo's own source, which stays English per .claude/rules/components.md (never translate the repo itself).

  • Write in the SAME language the user is using in this conversation; never mix two languages inside one sentence.
  • Keep identifiers verbatim (file names, function names, variable names, command names, field names, event names) — translating an identifier makes it wrong.
  • Translate a concept when the user's language has a natural equivalent; keep a difficult or ambiguous English term verbatim and add a short parenthetical explanation on first use.
  • No em dash; use a comma, colon, or parentheses instead.
  • One idea per sentence; split a sentence longer than two lines.
  • A language that uses diacritics (e.g. Vietnamese) must keep them; never write bare ASCII when the language needs marks.
  • Do not invent abbreviations; if one is used, spell it out on first use.
  • Open with the point itself; never with generic filler. End when the content ends; never restate what was just said as a summary.
  • Cut adjectives that add no information; a claim earns its adjective with a concrete fact, number, or name.
  • Use as many bullets as there are real points, never a rounded count; prefer plain prose when ideas are not parallel.
  • Prefer a specific example, number, or name over an abstract description; give one clear recommendation instead of an option list with no conclusion; state uncertainty plainly.
  • Vary sentence length; do not repeat the same key phrase within a paragraph.
  • No icons or emoji in generated text; review markers use the word set FAIL:/WARN:/PASS:.

Read the full file on GitHub · 88 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. 2d ago First seen · 88 lines · 20 tokens per session scan A a178b6710992

Subscribe to this mod's changes

plan is a command published in the GitHub repository naniiluja/ccf (9 stars, last pushed 23d ago), licensed MIT. It adds 20 tokens to every session and 3,844 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 2026-08-31.