Inspect Render services and deploys: list services, list recent deploys.

MITAuto-check passed

Install Render

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill render -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors render --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/render .claude/skills/render && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
render
GitHub stars
1.3k
Used in
1 other repo
Token cost
~433 tokens
SKILL.md length
155 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Inspect Render services and deploys: list services, list recent deploys.

  • Works in 4 steps: This skill is read-only by design: no… → Reading needs no confirmation. → A Render API key can see every workspace… → …
  • Phrases: render
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Render is an agent skill from Anil-matcha/awesome-muse-connectors. Inspect Render services and deploys: list services, list recent deploys. Trigger phrases: render, render service, render deploy.

Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/render.py`).

The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: render

Example prompts

  • “/render”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. This skill is read-only by design: no deploy, suspend, restart, or env-var commands ship.
  2. Reading needs no confirmation.
  3. A Render API key can see every workspace the account belongs to; the key's reach is the account's reach.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/render.py). Do not print, log, or transmit the key value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Render loads about 433 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 155 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~433

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 155 words, ~433 tokens.

Download SKILL.mdSave it as .claude/skills/render/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
render
description
Inspect Render services and deploys: list services, list recent deploys. Trigger phrases: render, render service, render deploy.
metadata.includeInPrompt
true
tagline
List your Render services and recent deploys. Read-only.
catalog_auth
API key (per-user, dashboard.render.com → Account Settings → API Keys)
catalog_hosts
api.render.com

Render

Purpose

Read-only visibility into the user's Render account: list services and inspect recent deploys for a service. Use when the user asks what's running on Render or whether a deploy succeeded.

Tooling

All commands go through bin/render.py:

bash
bin/render.py services                       # list services (name, type, region)
bin/render.py deploys --service srv-abc123   # recent deploys (status, created)

Auth

  • Provider id: render (credential is collected as custom.render)
  • Collection: API key from dashboard.render.com → Account Settings → API Keys, via the secure credential flow (credentials.request_api_access)
  • Connect placement: bearer_header
  • Allowed hosts: api.render.com
  • Status check: bin/render.py services (must return your services)

Operating Rules

  1. This skill is read-only by design: no deploy, suspend, restart, or env-var commands ship.
  2. Reading needs no confirmation.
  3. A Render API key can see every workspace the account belongs to; the key's reach is the account's reach.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/render.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/render.py

Maturity

🧪 Draft: written from Render's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/render of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/render.py

Open the folder on GitHubat commit d6dc5d8

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Anil-matcha/awesome-muse-connectors, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Render next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Render compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Render this skillAnil-matcha/awesome-muse-connectors1.3k1 repos~433Automated safety check: PassMIT
Deploy Setupgarrytan/gstack136k—~11kAutomated safety check: NotesMIT
Deployment Patternsaffaan-m/ECC275k1 repos~2.9kAutomated safety check: PassMIT
Vercel Deploybytedance/deer-flow83k10 repos~797Automated safety check: PassMIT
RenderLeoYeAI/openclaw-master-skills2.2k—~4.8kAutomated safety check: PassMIT
Land and Deploygarrytan/gstack136k—~18kAutomated safety check: NotesMIT

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Questions about Render

What does Render do?

Inspect Render services and deploys: list services, list recent deploys. Render is an agent skill from Anil-matcha/awesome-muse-connectors. Inspect Render services and deploys: list services, list recent deploys.

When should I use Render?

Render fits situations like: phrases: render.

How do I install Render in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill render -a claude-code`. Or copy the skill folder (connectors/render in Anil-matcha/awesome-muse-connectors) into .claude/skills/render in your project. Claude Code loads it when a task matches its description.

How do I install Render in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill render -a codex`. Or copy the skill folder (connectors/render in Anil-matcha/awesome-muse-connectors) into .agents/skills/render in your project. Codex loads it when a task matches its description.

Can I use Render in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill render -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/render, .gemini/skills/render, .github/skills/render and .opencode/skills/render in your project.

What does Render need to run?

Going by SKILL.md and its folder, Render needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Render access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Render safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Render use?

Render is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Render use?

About 433 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Render?

Skills that share tags, products or a category with Render: Deploy Setup (garrytan/gstack, 136k stars), Deployment Patterns (affaan-m/ECC, 275k stars), Vercel Deploy (bytedance/deer-flow, 83k stars) and Render (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Render?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,338 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.