render-deploy
OfficialDeploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their applicatio
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What we know about this skill
Publisher
openai
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: internal-api.render-internal.com, mcp.render.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
mcp.render.comundeclaredinternal-api.render-internal.comundeclaredWhat it found
- skills/.curated/render-deploy/SKILL.md:153contacts mcp.render.com
claude mcp add --transport http render https://mcp.render.com/mcp --header "Authorization: Bearer <YOUR_API_KEY>" - skills/.curated/render-deploy/agents/openai.yaml:14contacts mcp.render.com
url: "https://mcp.render.com/mcp" - skills/.curated/render-deploy/references/service-types.md:383contacts internal-api.render-internal.com
const API_URL = 'http://internal-api.render-internal.com:10000';
No pipe-to-shell installers: failed
Runs code fetched at install time in 1 place.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found
- skills/.curated/render-deploy/SKILL.md:111tells the user to run: remote script piped into a shell(in the instructions, not code)
- Linux/macOS: `curl -fsSL https://raw.githubusercontent.com/render-oss/cli/main/bin/install.sh | sh`
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
Pinned to a commit: passed
Scanned openai/skills at 49f948faa9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 49f948faa9
- Scanned
- 19 files, 3,190 lines
About this skill
What it does
The openai-render-deploy skill automates application deployment on the Render platform. It analyzes existing codebases to generate render.yaml Blueprints – configuration files that define how an application should be deployed. The skill also provides direct links to the Render Dashboard for ongoing management and monitoring of deployed applications.
When to use it
- Rapid Prototyping: Quickly deploy a new application or service without manually configuring deployment settings.
- Codebase Migration: Simplify migrating existing projects to Render by automatically generating the necessary configuration files.
- Automated Deployment Pipelines: Integrate with CI/CD systems to automate deployments whenever code changes are pushed.
- Sharing Applications: Easily publish and share applications hosted on Render with collaborators or users.
Key capabilities
- Analyzes existing codebases.
- Generates
render.yamlBlueprints. - Provides links to the Render Dashboard.
- Supports deploying, hosting, publishing, and setting up applications.
Example prompts
- "Generate a render.yaml file for my Node.js Express application located in this repository: [repository URL]"
- "Create a deployment Blueprint for my Python Flask app."
- "Show me the Render Dashboard link after generating the configuration."
Tips & gotchas
The skill requires access to the codebase being analyzed, typically through a repository URL. Ensure your code is compatible with Render's supported languages and frameworks for successful deployment.