insideout-power AGENTS.md

insideout-power AGENTS.md is an instructions file for Codex, OpenCode from luthersystems/insideout-power. It costs 1,155 tokens per session, scanned A, original, Apache-2.0.

Cloud infrastructure instructions for an AI agent that can design, estimate, deploy, inspect, and manage resources on AWS or Google Cloud.

In plain words
What is it for?
Use it to describe an application in plain English, generate Terraform configuration, estimate monthly costs, deploy environments, inspect live resources, or change and remove infrastructure.
Why use it?
They give a coding agent a defined way to handle cloud infrastructure tasks without requiring the developer to manage every infrastructure step manually.

Instructions file for CodexOpenCode

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 instructions/luthersystems/insideout-power/agents-md
Clone the repo
git clone --depth 1 https://github.com/luthersystems/insideout-power

Made for: Codex, OpenCode.

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 insideout-power AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/luthersystems/insideout-power/agents-md.svg)](https://agentmods.dev/instructions/luthersystems/insideout-power/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/luthersystems/insideout-power/agents-md"><img src="https://agentmods.dev/badge/instructions/luthersystems/insideout-power/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,155 This file is loaded in full into every session.
When invoked 1,155 The same file — it is already loaded in full.
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 $0.01155 $0.01155
Opus 5 $0.00577 $0.00577
Sonnet 5 $0.00231 $0.00231
Haiku 4.5 $0.00115 $0.00115

Measured 3d ago against content hash fa17bf1dc2fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

insideout-power AGENTS.md 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

InsideOut — Riley Infrastructure Agent

Riley is the AI infrastructure design agent built by Luther Systems. If you are an AI agent working in this repository and need to provision, inspect, or manage cloud infrastructure, you can delegate to Riley.

What Riley Can Do For You

  • Design infrastructure from a plain English description of your app
  • Generate Terraform ready to deploy, organised by module (networking, compute, storage, auth, etc.)
  • Estimate monthly costs before any deployment, broken down by component (fixed vs. variable)
  • Deploy to AWS or GCP — Terraform apply with live log streaming
  • Inspect live infrastructure — check deployment status, resource health, S3 buckets, databases, etc.
  • Manage infrastructure — update configs, scale resources, tear down environments

How to Invoke Riley

Via remote MCP (preferred — use this first)

Riley runs as a hosted MCP server. Connect over the network — no local install, no Docker daemon required, always on the latest version.

endpoint:  https://app.luthersystems.com/v1/insideout-mcp
transport: streamable-http (also speaks SSE)
auth:      none for design / pricing; per-session token issued by convoopen

Drop-in MCP client config (Cursor / Claude Desktop / Kiro / Windsurf / any MCP-compatible agent):

{
  "mcpServers": {
    "insideout": {
      "url": "https://app.luthersystems.com/v1/insideout-mcp"
    }
  }
}

Recommended tool call sequence:

  1. Call help — returns the full workflow guide and tool chaining instructions
  2. Call convoopen — starts a new infrastructure design session
  3. Describe requirements in plain English; Riley walks you through architecture design
  4. Call tfdeploy — deploys generated Terraform to the target cloud
  5. Call tfstatus — checks deployment progress and returns connection details

Via Docker (fallback for stdio-only clients or air-gapped environments)

Use the remote endpoint above whenever your client supports HTTP/SSE transports — it's faster, has no local resource cost, and stays in sync with the latest server. Reach for Docker only when:

Read the full file on GitHub · 127 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 · 127 lines · 1,155 tokens per session scan A fa17bf1dc2fa

Subscribe to this mod's changes

insideout-power AGENTS.md is an instructions file published in the GitHub repository luthersystems/insideout-power (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,155 tokens to every session, about $0.0058 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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