plan

plan is a command for coding agents from Ingramradical235/anty-framework. It costs 9 tokens per session (2,742 once invoked), scanned A, a copy of plan, MIT.

A command that turns a defined business goal into a structured strategy, including diagnosis, actions, measures, and safeguards. It requires a completed business-context file first.

In plain words
What is it for?
Use it to set a measurable target, examine the current situation, choose actions, anticipate failures, define key performance indicators, and set operating rules.
Why use it?
It gives a founder a repeatable way to plan from their actual business situation instead of starting with an unstructured goal.

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/ingramradical235/anty-framework/plan
Clone the repo
git clone --depth 1 https://github.com/Ingramradical235/anty-framework

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/commands/ingramradical235/anty-framework/plan.svg)](https://agentmods.dev/commands/ingramradical235/anty-framework/plan)
Your own site
<a href="https://agentmods.dev/commands/ingramradical235/anty-framework/plan"><img src="https://agentmods.dev/badge/commands/ingramradical235/anty-framework/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,742 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00009 $0.02742
Opus 5 $0.00005 $0.01371
Sonnet 5 $0.00002 $0.00548
Haiku 4.5 $0.00001 $0.00274

Measured 4d ago against content hash e094667606fb, 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.

Origin

This is a copy

100% identical to plan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

commands/plan.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/anty:plan — Strategy Kernel Generation

Purpose

Generate a complete Strategy Kernel for a specific goal, using the Planner subagent. Produces a structured strategic plan with diagnosis, policy, actions, failure anticipation, KPI decomposition, and operational guardrails.

Prerequisites

  1. .anty/business-context.yaml must exist and be complete (all 14 topics). If not, instruct the user: "Run /anty:onboard first to set up your business context."
  2. Read .anty/business-context.yaml fully before starting. All strategy must be grounded in the founder's actual context.

Step 1: Goal Definition

Ask the founder to define the goal:

  • "What is the specific outcome you want to achieve?"
  • "By when?" (deadline)
  • "How will you measure success?" (quantitative metric)

Construct the goal statement in the format: [Metric] [Target] by [Deadline] Example: "50 paying customers by end of Q3 2026"

Step 2: Strategy Kernel Generation

Use the Planner subagent to generate each component. Present each to the founder for validation before proceeding.

2a: Diagnosis (Standard + Reframed)

Generate TWO diagnoses:

Standard Diagnosis: Analyze the current situation based on business context. Identify the core challenge — what makes progress difficult right now? Reference specific data from .anty/business-context.yaml.

Reframed Diagnosis (MANDATORY): Generate at least one alternative framing of the same situation. The reframe MUST offer a genuinely different perspective, not just rewording. Examples:

  • Standard: "Low conversion rate from free to paid" -> Reframe: "The free tier delivers too much value — users have no reason to upgrade"
  • Standard: "Can't compete with incumbents on features" -> Reframe: "Competing on features means playing the incumbent's game — the real opportunity is a different value dimension entirely"

Present both diagnoses. Ask: "Which framing resonates more? Or do you see a third way to frame this?"

2b: Guiding Policy

Based on the chosen diagnosis, generate a Guiding Policy — the overall approach that channels effort. The policy must:

  • Be a coherent choice (saying yes to one thing means saying no to others)
  • Create leverage (multiplying effort, not just adding it)
  • Reference the founder's strategic mode (effectuation vs causation from business context)
  • Be one clear sentence, followed by 2-3 implications

Read the full file on GitHub · 316 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 · 316 lines · 9 tokens per session scan A e094667606fb

Subscribe to this mod's changes

plan is a command published in the GitHub repository Ingramradical235/anty-framework (1 stars, last pushed 2d ago), licensed MIT. It adds 9 tokens to every session and 2,742 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to plan, differing in 0 lines, and is treated as a copy.