plan

plan is a skill for Claude Code, Codex from kdlbs/kandev. It costs 26 tokens per session (1,108 once invoked), scanned A, original, AGPL-3.0.

A planning workflow that turns approved requirements and system designs into a committed implementation plan and work orders.

In plain words
What is it for?
Use it to break approved software requirements into assigned implementation steps before coding begins.
Why use it?
It gives the implementation phase a shared, agreed-upon starting point after specification work is complete.

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/kdlbs/kandev/plan
Any agent
npx skills add kdlbs/kandev --skill plan
Clone the repo
git clone --depth 1 https://github.com/kdlbs/kandev

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/kdlbs/kandev/plan.svg)](https://agentmods.dev/skills/kdlbs/kandev/plan)
Your own site
<a href="https://agentmods.dev/skills/kdlbs/kandev/plan"><img src="https://agentmods.dev/badge/skills/kdlbs/kandev/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,108 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00026 $0.01108
Opus 5 $0.00013 $0.00554
Sonnet 5 $0.00005 $0.00222
Haiku 4.5 $0.00003 $0.00111

Measured 4d ago against content hash aa0c8e6ed9f0, 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 4d 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.

.agents/skills/plan/SKILL.md · 215 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 4d ago First seen · 215 lines · 26 tokens per session scan A aa0c8e6ed9f0

Subscribe to this mod's changes

plan is a skill published in the GitHub repository kdlbs/kandev (710 stars, last pushed 4d ago), licensed AGPL-3.0. It adds 26 tokens to every session and 1,108 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.

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