Finalize
zifeo/lade
Finalize a merge request: rebase onto main, run bugs, simplify, and specs in parallel, apply, then refactor last.
Run a safe first CAST AI cluster connection that proves Cost Monitoring and agent health before enabling optimization.
Install Castai Hello World
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-hello-world --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/castai-hello-world .claude/skills/castai-hello-world && rm -rf skills-srcUse ~/.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/
Install the "castai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-hello-world into .claude/skills/castai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-hello-world", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-hello-worldType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-hello-world --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/castai-hello-world .agents/skills/castai-hello-world && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "castai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-hello-world into .agents/skills/castai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-hello-world", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-hello-world --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/castai-hello-world .cursor/skills/castai-hello-world && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "castai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-hello-world into .cursor/skills/castai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-hello-world", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/castai-hello-world--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-hello-world --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/castai-hello-world .gemini/skills/castai-hello-world && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "castai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-hello-world into .gemini/skills/castai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-hello-world", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-hello-worldInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/castai-hello-world .github/skills/castai-hello-world && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "castai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-hello-world into .github/skills/castai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-hello-world", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-hello-world --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/castai-hello-world .opencode/skills/castai-hello-world && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "castai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-hello-world into .opencode/skills/castai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-hello-world", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
castai-hello-world- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 436 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run a safe first CAST AI cluster connection that proves Cost Monitoring and agent health before enabling optimization.
- Works in 6 steps: Confirm the sandbox → Preview with castctl → Record the decision → …
- Starting a new evaluation
- SKILL.md covers Overview, Prerequisites, Instructions and Tool Discipline, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Castai Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Run a safe first CAST AI cluster connection that proves Cost Monitoring and agent health before enabling optimization. Use when starting a new evaluation, sandbox, or operator walkthrough. Trigger with: "CAST AI hello world", "try CAST AI safely", "connect my first CAST AI cluster".
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires a supported Kubernetes cluster, castctl, reviewed cloud permissions, and an approved CAST AI organization
It sits in DevOps & Cloud. It works with Bash and Kubernetes. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Starting a new evaluation
- Operator walkthrough
- With: CAST AI hello world
- Try CAST AI safely
Example prompts
- “CAST AI hello world”
- “try CAST AI safely”
- “connect my first CAST AI cluster”
- “/castai-hello-world”
Requirements
- Compatibility (from SKILL.md): Requires a supported Kubernetes cluster, castctl, reviewed cloud permissions, and an approved CAST AI organization
- Pre-approved tools (allowed-tools): Read, Grep, Write, Bash(castctl:*), Bash(kubectl:*)
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepWriteBash(castctl:*)Bash(kubectl:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.cast.ai
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.
Compatibility
Requires a supported Kubernetes cluster, castctl, reviewed cloud permissions, and an approved CAST AI organization
From compatibility in the SKILL.md frontmatter.
Context cost
Castai Hello World loads about 1.1k tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 436 words of instructions outside code blocks.
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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 436 words, ~1,098 tokens.
Download SKILL.mdSave it as
.claude/skills/castai-hello-world/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- castai-hello-world
- description
- Run a safe first CAST AI cluster connection that proves Cost Monitoring and agent health before enabling optimization. Use when starting a new evaluation, sandbox, or operator walkthrough. Trigger with: "CAST AI hello world", "try CAST AI safely", "connect my first CAST AI cluster".
- allowed-tools
- Read, Grep, Write, Bash(castctl:*), Bash(kubectl:*)
- compatibility
- Requires a supported Kubernetes cluster, castctl, reviewed cloud permissions, and an approved CAST AI organization
- version
- 2.0.0
- argument-hint
- [sandbox-kube-context]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, kubernetes, cast-ai, quickstart, onboarding
CAST AI Safe First Connection
Overview
Prove the minimum useful loop: identify one sandbox cluster, preview the connection, connect with Cost Monitoring, verify telemetry, and leave optimization automation unchanged.
Prerequisites
- A disposable or non-production kube context with an accountable owner
- castctl installed from an official distribution and authenticated to the intended organization
- Cluster-admin and reviewed provider permissions
- An approved evidence and cleanup plan
Instructions
Step 1: Confirm the sandbox
Use Bash(kubectl:*) to print the current context and inspect only basic cluster identity. Use Read and Grep to ensure the cluster is not already owned by CAST AI, another autoscaler, Terraform, or GitOps.
Step 2: Preview with castctl
Use Bash(castctl:*) to check the client version and run the documented cluster connection dry-run. Review detected provider, cluster name, region, organization, proposed features, namespace, and cloud changes.
Step 3: Record the decision
Use Write to capture the dry-run, selected cluster, owners, features, start time, expected telemetry, and cleanup path. Cost Monitoring is always enabled; do not select Node or Workload Autoscaling merely to complete a quickstart.
Step 4: Connect once
Run the reviewed interactive connection. Confirm the prompt resolves the same cluster and organization. Keep the returned console URL, but never store the browser token, kubeconfig, or API key in the receipt.
Step 5: Verify the loop
Use Bash(kubectl:*) to verify castai-agent namespace workloads, readiness, and recent warning events. Confirm the console identifies the correct cluster and begins showing cost data. Treat an empty initial report as ingestion time, not proof of zero cost.
Show full SKILL.md (185 more words)Show less
Step 6: Close or hand off
If the evaluation continues, hand off to observation-first onboarding. If it ends, use the documented disconnect path only after reviewing cloud and cluster cleanup effects and preserving the final receipt.
Tool Discipline
Use Read and Grep for ownership checks. Use Write for the sanitized quickstart receipt. Use Bash(castctl:) for documented dry-run, connection, and status operations and Bash(kubectl:) for bounded verification only.
Output
- Reviewed connection preview
- One correctly identified sandbox cluster
- Agent and initial telemetry evidence
- Explicit continuation or cleanup owner
Examples
A team connects a sandbox EKS cluster for Cost Monitoring, confirms agent readiness, and waits for representative data. It does not enable node automation or change workload requests during the first session.
Error Handling
| Failure | Response |
|---|---|
| The context is production | Stop and select an approved sandbox |
| Dry-run detects the wrong provider or region | Correct environment selection before connecting |
| Agent pods fail readiness | Collect bounded evidence and do not add features |
| Cleanup consequences are unclear | Leave state unchanged and escalate to the platform owner |
Resources
© jeremylongshore, 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 (references) in skills/.curated/castai-hello-world of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Castai Hello World 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Castai Hello World this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Finalizezifeo/lade | 134 | — | ~1k | Automated safety check: Pass | MPL-2.0 | |
| Headless Codex CLI AutomationXiaomiMiMo/MiMo-Code | 14k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Asdfjjmartres/opencode | 133 | — | ~2.1k | Automated safety check: Notes | MIT | |
| Carefulyonatangross/orchestkit | 292 | — | ~1.2k | Automated safety check: Pass | MIT | |
| QzcliAI4Scientist/nano-scientist | 128 | 2 repos | ~1.9k | Automated safety check: Notes | None |
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Careful
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Related
Works with
Categories
Questions about Castai Hello World
What does Castai Hello World do?
Run a safe first CAST AI cluster connection that proves Cost Monitoring and agent health before enabling optimization. Castai Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Run a safe first CAST AI cluster connection that proves Cost Monitoring and agent health before enabling optimization.
When should I use Castai Hello World?
Castai Hello World fits situations like: starting a new evaluation; operator walkthrough; with: CAST AI hello world; try CAST AI safely.
How do I install Castai Hello World in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a claude-code`. Or copy the skill folder (skills/.curated/castai-hello-world in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/castai-hello-world in your project. Claude Code loads it when a task matches its description.
How do I install Castai Hello World in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a codex`. Or copy the skill folder (skills/.curated/castai-hello-world in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/castai-hello-world in your project. Codex loads it when a task matches its description.
Can I use Castai Hello World 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 jeremylongshore/tons-of-skills-marketplace --skill castai-hello-world -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/castai-hello-world, .gemini/skills/castai-hello-world, .github/skills/castai-hello-world and .opencode/skills/castai-hello-world in your project.
What does Castai Hello World need to run?
SKILL.md names no scripts, command-line tools or credentials: Castai Hello World is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Bash(castctl:*), Bash(kubectl:*). Compatibility (from SKILL.md): Requires a supported Kubernetes cluster, castctl, reviewed cloud permissions, and an approved CAST AI organization.
Does Castai Hello World access the network?
SKILL.md names 1 domain. As links in the text: docs.cast.ai. This is read from the text; nothing was executed.
Is Castai Hello World 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 Castai Hello World use?
Castai Hello World is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Castai Hello World use?
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 182 tokens, read only when the agent opens those files.
What are the alternatives to Castai Hello World?
Skills that share tags, products or a category with Castai Hello World: Finalize (zifeo/lade, 134 stars), Headless Codex CLI Automation (XiaomiMiMo/MiMo-Code, 14k stars), Asdf (jjmartres/opencode, 133 stars) and Careful (yonatangross/orchestkit, 292 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Castai Hello World?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.