plan

plan is a skill for Claude Code, Codex from HuntsDesk/ve-kit. It costs 34 tokens per session (1,507 once invoked), scanned A, original, MIT.

A planning procedure that turns a coding request into an implementation checklist and assigns work where appropriate.

In plain words
What is it for?
Use it when entering planning mode or preparing a feature, refactor, infrastructure change, or other implementation.
Why use it?
It clarifies the work before implementation and chooses a lightweight or more detailed planning process based on the task’s size and impact.

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/huntsdesk/ve-kit/plan
Any agent
npx skills add HuntsDesk/ve-kit --skill plan
Clone the repo
git clone --depth 1 https://github.com/HuntsDesk/ve-kit

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/huntsdesk/ve-kit/plan.svg)](https://agentmods.dev/skills/huntsdesk/ve-kit/plan)
Your own site
<a href="https://agentmods.dev/skills/huntsdesk/ve-kit/plan"><img src="https://agentmods.dev/badge/skills/huntsdesk/ve-kit/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,507 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 $0.00034 $0.01507
Opus 5 $0.00017 $0.00754
Sonnet 5 $0.00007 $0.00301
Haiku 4.5 $0.00003 $0.00151

Measured 3d ago against content hash 60ff7c6a249f, 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 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.

skills/plan/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PLAN Mode Protocol

You are entering PLAN mode. Follow this protocol exactly.

Step 0: Detect Work Type (3-tier vs flat)

Before generating an implementation checklist, classify the work request. Most invocations are flat — Step 0 is a fast routing check, not a ceremony.

Invoke 3-tier flow (story → design → tasks) when ANY hold:

  • Work spans 5+ implementation tasks
  • Touches shared infra (DB schema, RLS, auth, billing, deployment pipeline)
  • Crosses 2+ services
  • Has external stakeholder visibility (founder asked for a named deliverable, or it'll appear in marketing/release notes)
  • Requires architectural decision visible to non-engineers (e.g., choosing between competing approaches that have long-term implications)

Use the flat flow (Steps 1-4 below — existing behavior) when:

  • Single-thread bug fix, refactor, or feature touching <5 tasks
  • One-file change
  • Adding a flag, deploying from existing template, routine ops
  • Estimable in <4 hours

When in doubt → ask the user with choice-based clarification (ONE multiple-choice question at a time, never a 10-question waterfall):

This looks like substantial work. Should I:

  1. Create a STORY (with "why" + success metric) + DESIGN RFC (with ripple effects + ADRs) + implementation tasks
  2. Just create a flat implementation task list (skip story + design — faster, less anchoring)

If 3-tier is selected: invoke project-coordinator to produce the STORY task + DESIGN task per its 3-Tier Decomposition Protocol, THEN return here for Step 2 to decompose the design into implementation tasks. The implementation tasks should reference their parent design in description ("Design: <design_task_id>") so reviewers can trace back.

Soft task_type convention (until Vibe Board MCP gains a native task_type field per ADK-8): title prefixes carry the type — [STORY], [DESIGN], [BUG], [CHORE], [INVESTIGATION]. Plain titles = regular implementation task. See .claude/rules/agent-board.md § Task Type Convention.

Read the full file on GitHub · 120 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. 3d ago First seen · 120 lines · 34 tokens per session scan A 60ff7c6a249f

Subscribe to this mod's changes

plan is a skill published in the GitHub repository HuntsDesk/ve-kit (2 stars, last pushed 28d ago), licensed MIT. It adds 34 tokens to every session and 1,507 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 2026-08-31.

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