agentos-render: Skill for Claude Code

.agents/skills/deploy-platform/SKILL.md

deploy-platform is a skill for Claude Code, Codex from agno-agi/agentos-render. It costs 39 tokens per session (1,196 once invoked), scanned A, a copy of deploy-platform, Apache-2.0.

A deployment procedure for taking an AgentOS platform from a local environment to a public production URL. It uses provider command-line tools and deployment scripts, then checks the live platform.

In plain words
What is it for?
Use it to deploy or redeploy the platform, verify its public URL, and receive instructions for deploying again, viewing logs, or tearing it down.
Why use it?
It organizes the checks needed before deployment and highlights that deployment creates real, billable cloud resources. It also includes steps for authentication keys and operational handover.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is agno-agi/agentos-render's own configuration. It tells Claude Code and Codex how to work on agentos-render itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentos-render configures →

Reuse

Borrowing it

Nothing to install: this file belongs to agno-agi/agentos-render. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/agno-agi/agentos-render/main/.agents/skills/deploy-platform/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/agno-agi/agentos-render

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 deploy-platform

README.md
[![agentmods](https://agentmods.dev/badge/skills/agno-agi/agentos-render/deploy-platform/github.svg)](https://agentmods.dev/skills/agno-agi/agentos-render/deploy-platform)
Your own site
<a href="https://agentmods.dev/skills/agno-agi/agentos-render/deploy-platform"><img src="https://agentmods.dev/badge/skills/agno-agi/agentos-render/deploy-platform/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.

agentmods 80×15 button for deploy-platform

Your own site · 80×15
<a href="https://agentmods.dev/skills/agno-agi/agentos-render/deploy-platform"><img src="https://agentmods.dev/badge/skills/agno-agi/agentos-render/deploy-platform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,196 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00039 $0.01196
Opus 5.5 $0.00016 $0.00478
Sonnet 5.5 $0.00008 $0.00239
Haiku 4.5 $0.00004 $0.00120

Measured today against content hash 61609b5221cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deploy-platform 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 today.

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 deploy-platform — 158 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.

.agents/skills/deploy-platform/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deploy the Platform on Render

Help the user deploy their application through the Render dashboard. Prepare the repository, guide the Blueprint setup, and verify the authenticated application. Read AGENTS.md, render.yaml, and the application's settings. Use the current Render Blueprint docs when dashboard details are uncertain.

1. Prepare the GitHub repository

Inspect the Git remotes, branch, and application changes. Reuse the user's repository if one exists. Otherwise, establish the GitHub owner, repository name, and visibility, then help create it using the available GitHub integration or gh repo create. Use a private repository unless the user wants it public.

Preserve the template remote as upstream when making the user's repository origin. Review the files to publish, exclude credentials and local artifacts, commit the application, and push the intended deployment branch. Verify that the pushed branch includes the user's agents, Dockerfile, and root render.yaml. Help the user grant Render's GitHub connection access to this repository. The Blueprint creates an AgentOS project and Production environment. Set projects[0].name to the user's application name before pushing if they want a different project name.

2. Deploy the Blueprint

Identify the intended Render workspace and any existing deployment. Reuse its Blueprint, API service, and database when present; continue to configuration below. For a new deployment, guide the user through Render:

  1. Choose New → Blueprint and connect their GitHub repository.
  2. Select the deployment branch and root render.yaml.
  3. Enter OPENAI_API_KEY and set RUNTIME_ENV to dev for initial setup.
  4. Review the resources and billing, then choose Deploy Blueprint.
  5. Wait for the API to become live and copy its public HTTPS URL.

Start with the Blueprint's one always-on API instance with 1 CPU and 2 GB RAM (1c-2g) and PostgreSQL 18 database. Confirm both use Virginia (region: virginia) before deploying. Preserve the database references. Initial setup runs without authentication; continue directly to securing the application below. For an existing secured deployment, keep RUNTIME_ENV=prd.

Read the full file on GitHub · 106 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. today Changed · +1 lines 61609b5221cb
  2. 2d ago Changed · +14 lines · +3 tokens per session bf102f9ae34b
  3. 3d ago Changed · -2 lines 50762309e28e
  4. 6d ago Changed · +2 lines · -46 tokens per session 5b9f8cc35fc1
  5. 8d ago Changed f25f860f21b9
  6. 2mo ago First seen · 91 lines · 82 tokens per session scan A 2f097e6cb2e8

Subscribe to this mod's changes

deploy-platform is a skill published in the GitHub repository agno-agi/agentos-render (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 1,196 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to deploy-platform, differing in 158 lines, and is treated as a copy.

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