StarNet is a local-first desktop harness for creating AI agents and arranging them in a pixel-art space station whose layout represents their capabilities, permissions, and workflow. It lets people run real model calls and tools through multiple bounded agents, using their own provider keys or accounts and optionally messaging the station through chat services. The catalogue entries are skills that extend or support work performed by StarNet agents.
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.
npx skills add androoAGI/starnet --skill pricing-strategygit clone --depth 1 https://github.com/androoAGI/starnetWrote 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.
[](https://agentmods.dev/skills/androoagi/starnet/pricing-strategy)<a href="https://agentmods.dev/skills/androoagi/starnet/pricing-strategy"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/pricing-strategy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/androoagi/starnet/pricing-strategy"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/pricing-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.02494 |
| Opus 5.5 | $0.00021 | $0.00998 |
| Sonnet 5.5 | $0.00010 | $0.00499 |
| Haiku 4.5 | $0.00005 | $0.00249 |
Grade A, and why
pricing-strategy 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Strategy
Help the Commander decide what to charge and how to package it, so that price follows the value customers get. The bar: every recommendation states the evidence or the assumption behind it, competitor prices come from pages you opened, and none of the Commander's own numbers are made up.
When to use
- "How much should I charge?" "Are my tiers right?" "Should I have a free plan?"
- Choosing between per-seat, usage, flat or mixed pricing.
- Planning a price increase.
- "Tear down my pricing page."
Not for rewriting the pricing page copy (landing-copy), a full conversion review of the page (conversion-review), or finding out what customers value in their own words (customer-research, which feeds this skill).
Method
- Gather context. Look for a product brief in the workspace with
fs.search, then ask only for what is missing:- Business: product type, current pricing, target market (small business, mid-market, enterprise), how it sells (self-serve, sales-led, both).
- Value and competition: the main value delivered, the alternatives customers weigh.
- Performance: conversion rate, average revenue per customer, churn, what customers say about price.
- Goal: growth, revenue or profit; moving up-market or down.
- Read the market. Open each named competitor's pricing page (
web_fetch, orbrowser.navigateandbrowser.get_textwhen prices only appear in a real browser). Record plan names, prices, what is charged for, limits, the URL and the date read. "Contact sales" is recorded as not public. Competitor prices are data points, not targets. - Choose the value metric. What the customer pays per. See the test below.
- Choose the pricing model that fits the metric.
references/pricing-models.md(included at the end of this skill) covers the eight models and when to combine them. - Shape the tiers. Number of tiers, what separates them, who each is for.
references/tier-structure.md(included at the end of this skill) covers packaging by persona, free plan versus trial, and enterprise tiers. - Set price points. For a first price, use the rules in "A first price". For an existing price, use the evidence gathered and the psychology notes.
- Plan how to check it. You cannot survey customers yourself. Draft the survey or test for the Commander from
references/research-methods.md(included at the end of this skill), and analyse the results withcode.runwhen they bring the responses back as a file. - Plan the rollout if a price is changing for existing customers.
- Tear down the pricing page if one exists or was asked for, using
references/pricing-page-teardown.md(included at the end of this skill). - Write the recommendation. Two or three options, the one you recommend and why, the assumptions it rests on, what to measure after launch, and the risks. Save with
fs.writeand name it withdeliverable_note.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 148 lines · 52 tokens per session scan A 8da8bcb8e4d9
pricing-strategy is a skill published in the GitHub repository androoAGI/starnet (1,468 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 2,494 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-04.
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