Kamal Deploy
ListedAutomates deployment of Kamal applications to specified environments using pre-defined configurations and version control.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add nityeshaga/claude-code-essentials --skill kamal-deploy -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
nityeshaga
Taken from the source listing. We haven't verified who controls this account.
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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.honeybadger.io.
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
api.honeybadger.ioundeclaredWhat it found
- plugins/basics/skills/kamal-deploy/SKILL.md:236contacts api.honeybadger.io
curl -X POST "https://api.honeybadger.io/v1/deploys" \
No credential access: failed
Touches credential material in 7 places.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
What it found (3 of 7)
- plugins/basics/skills/kamal-deploy/references/configuration.md:333SSH private keys or config
- ~/.ssh/deploy_key - plugins/basics/skills/kamal-deploy/references/configuration.md:344SSH private keys or config
config: true # Use ~/.ssh/config (default) - plugins/basics/skills/kamal-deploy/references/troubleshooting.md:36Docker registry credentials
echo '{"cliPluginsExtraDirs": ["/opt/homebrew/lib/docker/cli-plugins"]}' > ~/.docker/config.json
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 pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned nityeshaga/claude-code-essentials at c7410aa780.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c7410aa780
- Scanned
- 3 files, 1,146 lines
About this skill
What it does
The kamal-deploy skill automates deployments to Kamal, a platform for running and managing AI agents. It handles tasks like building container images, pushing them to a registry, and applying configurations to Kamal instances. This simplifies the process of getting your agent up and running on the Kamal platform.
When to use it
- Deploying an updated version of your AI agent to Kamal.
- Setting up a new AI agent instance on Kamal for testing or production.
- Automating the deployment pipeline for your AI agents, integrating with CI/CD systems.
- Managing configurations and dependencies for your AI agent deployments.
Key capabilities
- Container image building
- Image registry pushing
- Kamal instance configuration application
- Deployment automation
Example prompts
- "Deploy my agent to Kamal using the latest Docker image."
- "Update the configuration of my Kamal deployment with these new settings."
- "Build and push a container image for my AI agent, then deploy it to Kamal."
Tips & gotchas
The skill requires access credentials configured within your environment or provided directly in prompts. Ensure that you have properly set up your Kamal instance before attempting deployments.