kn-plan

kn-plan is a skill for Claude Code, Codex from knowns-dev/knowns. It costs 12 tokens per session (1,508 once invoked), scanned A, original, MIT.

A planning workflow for turning an existing task or approved specification into a bounded implementation plan.

In plain words
What is it for?
Gathering task context, following document references, checking accepted decisions, creating or taking ownership of a task, and preparing a plan for approval.
Why use it?
It ensures the agent reads the main requirements and linked decisions before planning, and stops when important information is missing or conflicting.

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

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 kn-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/knowns-dev/knowns/kn-plan.svg)](https://agentmods.dev/skills/knowns-dev/knowns/kn-plan)
Your own site
<a href="https://agentmods.dev/skills/knowns-dev/knowns/kn-plan"><img src="https://agentmods.dev/badge/skills/knowns-dev/knowns/kn-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,508 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 $0.00012 $0.01508
Opus 5 $0.00006 $0.00754
Sonnet 5 $0.00002 $0.00302
Haiku 4.5 $0.00001 $0.00151

Measured 4d ago against content hash be7dca5bf8d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kn-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.

internal/instructions/skills/kn-plan/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Planning Work

Core principle: GATHER CONTEXT → PLAN → VALIDATE → WAIT FOR APPROVAL.

Modes

  • /kn-plan <task-id> — plan an existing task
  • /kn-plan --new "<summary>" — create a bounded task, then plan it
  • /kn-plan --from @doc/<spec-path> — preview and create tasks from an approved spec

If the user wants end-to-end execution of an approved spec or task wave, route to /kn-flow @doc/<spec-path>.

Shared Preflight

  • Read the primary task or spec before searching adjacent context.
  • Follow every explicit @task-, @doc/, and @template/ ref recursively.
  • Read a linked spec's complete Locked Decisions section and enumerate every D-ID.
  • Retrieve only relevant accepted/current System Decisions with bounded filters.
  • Search docs, memories, related tasks, and templates only as needed.
  • Stop on a missing primary source, unreadable rule, broken critical ref, or concrete Decision conflict.

Existing Task Mode

Announce: "Using kn-plan for task [ID]."

  1. Read the task and confirm it is not already done unless reopening is intended.
  2. Take ownership and start its timer. If another timer cannot be safely paused or replaced, surface that conflict rather than silently changing it.
  3. Gather bounded context from refs, related docs/tasks, code patterns, memories, templates, and relevant Decisions.
  4. Draft an outcome-oriented implementation plan.
  5. Save the plan to the task.
  6. Validate the task and run the plan-quality checks below.
  7. Present the plan and wait for explicit approval before implementation.
mcp_knowns_tasks({ "action": "get", "taskId": "<id>" })
mcp_knowns_tasks({ "action": "update", "taskId": "<id>",
  "status": "in-progress", "assignee": "@me" })
mcp_knowns_time({ "action": "start", "taskId": "<id>" })

New Task Mode

Announce: "Using kn-plan to create and plan a new task."

Classify the summary:

  • tiny/normal: create a concise task, then continue with Existing Task Mode
  • high-risk or broadly ambiguous: recommend /kn-spec unless the user explicitly bypasses it

Read the full file on GitHub · 164 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. 4d ago First seen · 164 lines · 12 tokens per session scan A be7dca5bf8d3

Subscribe to this mod's changes

kn-plan is a skill published in the GitHub repository knowns-dev/knowns (242 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 1,508 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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