Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
Rent, verify, use, and destroy a first Vast.ai GPU instance with bounded cost and explicit failure cleanup.
Install Vastai Hello World
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-hello-world -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-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/vastai-hello-world .claude/skills/vastai-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 "vastai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-hello-world into .claude/skills/vastai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-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/vastai-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 vastai-hello-world -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-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/vastai-hello-world .agents/skills/vastai-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 "vastai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-hello-world into .agents/skills/vastai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-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 vastai-hello-world -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-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/vastai-hello-world .cursor/skills/vastai-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 "vastai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-hello-world into .cursor/skills/vastai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-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/vastai-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 vastai-hello-world -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-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/vastai-hello-world .gemini/skills/vastai-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 "vastai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-hello-world into .gemini/skills/vastai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-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 vastai-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 vastai-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/vastai-hello-world .github/skills/vastai-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 "vastai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-hello-world into .github/skills/vastai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-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 vastai-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 vastai-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/vastai-hello-world .opencode/skills/vastai-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 "vastai-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-hello-world into .opencode/skills/vastai-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-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
vastai-hello-world- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 476 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Rent, verify, use, and destroy a first Vast.ai GPU instance with bounded cost and explicit failure cleanup.
- Works in 6 steps: Verify identity and budget → Search a suitable offer → Create exactly one instance → …
- Running a safe platform canary
- SKILL.md covers Overview, Prerequisites, Instructions and Authentication, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Vastai Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Rent, verify, use, and destroy a first Vast.ai GPU instance with bounded cost and explicit failure cleanup. Use when running a safe platform canary or onboarding exercise. Trigger with: "rent my first Vast.ai GPU", "run a Vast.ai canary", "test Vast.ai end to end".
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 the Vast.ai CLI, a valid API key, account credit, an SSH public key, and an approved container image.
It sits in DevOps & Cloud, covering Deployment. 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
- Running a safe platform canary
- Onboarding exercise
- With: rent my first Vast.ai GPU
- Run a Vast.ai canary
Example prompts
- “rent my first Vast.ai GPU”
- “run a Vast.ai canary”
- “test Vast.ai end to end”
- “/vastai-hello-world”
Requirements
- Compatibility (from SKILL.md): Requires the Vast.ai CLI, a valid API key, account credit, an SSH public key, and an approved container image.
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit
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:
ReadGrepWriteEdit
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.vast.aigithub.com
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 the Vast.ai CLI, a valid API key, account credit, an SSH public key, and an approved container image.
From compatibility in the SKILL.md frontmatter.
Context cost
Vastai Hello World loads about 1.1k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 476 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). 476 words, ~1,076 tokens.
Download SKILL.mdSave it as
.claude/skills/vastai-hello-world/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- vastai-hello-world
- description
- Rent, verify, use, and destroy a first Vast.ai GPU instance with bounded cost and explicit failure cleanup. Use when running a safe platform canary or onboarding exercise. Trigger with: "rent my first Vast.ai GPU", "run a Vast.ai canary", "test Vast.ai end to end".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires the Vast.ai CLI, a valid API key, account credit, an SSH public key, and an approved container image.
- version
- 2.0.0
- argument-hint
- [gpu-requirement-budget-and-image]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, vastai, instances, onboarding, cost-control
First Vast.ai GPU Rental With a Cost Fence
Overview
Prove the complete renter lifecycle without leaving billable storage behind. Search a verified offer, register SSH before creation, capture the returned contract ID, bound readiness polling, run one GPU check, retrieve evidence, and destroy.
Prerequisites
- Maximum hourly price, maximum elapsed time, GPU/VRAM need, disk size, and region policy
- Approved image tag and registered SSH public key
- Cleanup owner who can destroy the contract even when the workload fails
Instructions
Step 1: Verify identity and budget
Run vastai show user --raw; confirm the intended account and enough credit. Set an external deadline and total-spend ceiling before searching.
Step 2: Search a suitable offer
Use vastai search offers --raw with verified=true, rentable=true, reliability, direct-port, GPU, disk, and price constraints. Record the selected offer ID and quoted price components.
Step 3: Create exactly one instance
Create with an immutable image tag, SSH, direct networking when required, and the smallest sufficient disk. Capture new_contract as the instance ID.
Step 4: Wait with terminal branches
Poll vastai show instance ID --raw until actual_status is running. Abort and clean up on timeout, exited, unknown, or offline; never poll forever.
Step 5: Run and collect the canary
Resolve the SSH URL, execute nvidia-smi, run the bounded workload, and copy out the small result or checksum.
Step 6: Destroy and prove cleanup
Destroy the instance non-interactively and confirm it no longer appears. Destruction is irreversible but is required to stop storage charges.
Authentication
Use a scoped key that can search offers and manage instances but cannot transfer credit or administer teams. Keep SSH private keys local and never pass them through instance environment variables.
Show full SKILL.md (201 more words)Show less
Tool Discipline
Use Read and Grep to inspect manifests, configuration, provider output, and existing tests before proposing a mutation. Use Write or Edit only for the approved plan, implementation, test, or redacted receipt; do not create, update, destroy, or fund Vast.ai resources without explicit operator approval.
Output
- Selected offer and cost-policy decision
- Instance state timeline and GPU canary result
- Artifact checksum plus confirmed destruction receipt
Return account ID, offer ID, instance ID, price, state transitions, canary result, and cleanup confirmation with secrets removed.
Examples
An operator rents one verified RTX 4090 below the approved hourly ceiling, reaches running within the deadline, records a CUDA device check, copies out a checksum, and destroys the contract in a guaranteed cleanup path.
Error Handling
| Failure | Response |
|---|---|
| No offer satisfies policy | Do not relax controls silently; report which constraint eliminated capacity. |
| Instance remains loading | Respect the deadline, inspect image size and host network, then destroy and choose another offer. |
| Instance becomes exited, unknown, or offline | Stop polling, salvage only if safe, destroy, and retry on a different host. |
| Cleanup command fails | Escalate immediately with the instance ID because storage may still be billing. |
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/vastai-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
Vastai 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 |
|---|---|---|---|---|---|---|
| Vastai Hello World this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Mirrord Operatormetalbear-co/mirrord | 5.4k | 1 repos | ~4.6k | Automated safety check: Pass | MIT | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Vercelremotion-dev/remotion | 63k | — | ~1.2k | Automated safety check: Pass | Custom licence |
Similar skills
GreptimeDB Dev Docker Image
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
Mirrord Operator
metalbear-co/mirrord
Help users install and configure the mirrord Operator for team/enterprise environments.
KubeSphere ServiceMesh Manager
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
- Official
Vercel
remotion-dev/remotion
Set up a Codex monitor for Vercel deployments and preview URLs.
AWS Cdk Development
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
More from jeremylongshore/tons-of-skills-marketplace
All 3,342 skills in this repoPerforming Security Code Review
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
Adapting Transfer Learning Models
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Agent Context Loader
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
Aggregating Performance Metrics
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
Analyzing Capacity Planning
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
Analyzing Database Indexes
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Related
Categories
Questions about Vastai Hello World
What does Vastai Hello World do?
Rent, verify, use, and destroy a first Vast.ai GPU instance with bounded cost and explicit failure cleanup. Vastai Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace.ai GPU instance with bounded cost and explicit failure cleanup.
When should I use Vastai Hello World?
Vastai Hello World fits situations like: running a safe platform canary; onboarding exercise; with: rent my first Vast.ai GPU; run a Vast.ai canary.
How do I install Vastai Hello World in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-hello-world -a claude-code`. Or copy the skill folder (skills/.curated/vastai-hello-world in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vastai-hello-world in your project. Claude Code loads it when a task matches its description.
How do I install Vastai Hello World in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-hello-world -a codex`. Or copy the skill folder (skills/.curated/vastai-hello-world in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vastai-hello-world in your project. Codex loads it when a task matches its description.
Can I use Vastai 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 vastai-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/vastai-hello-world, .gemini/skills/vastai-hello-world, .github/skills/vastai-hello-world and .opencode/skills/vastai-hello-world in your project.
What does Vastai Hello World need to run?
SKILL.md names no scripts, command-line tools or credentials: Vastai Hello World is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires the Vast.ai CLI, a valid API key, account credit, an SSH public key, and an approved container image..
Does Vastai Hello World access the network?
SKILL.md names 2 domains. As links in the text: docs.vast.ai and github.com. This is read from the text; nothing was executed.
Is Vastai 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 Vastai Hello World use?
Vastai 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 Vastai Hello World use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 333 tokens, read only when the agent opens those files.
What are the alternatives to Vastai Hello World?
Skills that share tags, products or a category with Vastai Hello World: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Mirrord Operator (metalbear-co/mirrord, 5.4k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vastai 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.