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Analyze and execute a checkpointed Vast.ai training job from offer policy through artifact recovery and destruction.
Install Vastai Core Workflow A
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-a -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-a --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-core-workflow-a .claude/skills/vastai-core-workflow-a && 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-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-a into .claude/skills/vastai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-a", 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-core-workflow-aType 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-core-workflow-a -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-a --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-core-workflow-a .agents/skills/vastai-core-workflow-a && 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-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-a into .agents/skills/vastai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-a", 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-core-workflow-a -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-a --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-core-workflow-a .cursor/skills/vastai-core-workflow-a && 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-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-a into .cursor/skills/vastai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-a", 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-core-workflow-a--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-core-workflow-a -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-a --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-core-workflow-a .gemini/skills/vastai-core-workflow-a && 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-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-a into .gemini/skills/vastai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-a", 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-core-workflow-aInstalls 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-core-workflow-a -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-core-workflow-a .github/skills/vastai-core-workflow-a && 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-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-a into .github/skills/vastai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-a", 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-core-workflow-a -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-core-workflow-a --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-core-workflow-a .opencode/skills/vastai-core-workflow-a && 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-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-a into .opencode/skills/vastai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-a", 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-core-workflow-a- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 451 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze and execute a checkpointed Vast.ai training job from offer policy through artifact recovery and destruction.
- Works in 6 steps: Freeze the run manifest → Select and create → Reach readiness safely → …
- A repeatable single-job GPU run needs budget and interruption controls
- 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 Core Workflow A is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and execute a checkpointed Vast.ai training job from offer policy through artifact recovery and destruction. Use when a repeatable single-job GPU run needs budget and interruption controls. Trigger with: "run training on Vast.ai", "checkpoint a Vast.ai job", "recover Vast.ai training artifacts".
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 an immutable training image, reachable checkpoint storage, a scoped Vast.ai key, and an approved GPU budget.
It sits in Agent Workflows. 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
- A repeatable single-job GPU run needs budget and interruption controls
- With: run training on Vast.ai
- Checkpoint a Vast.ai job
- Recover Vast.ai training artifacts
Example prompts
- “run training on Vast.ai”
- “checkpoint a Vast.ai job”
- “recover Vast.ai training artifacts”
- “/vastai-core-workflow-a”
Requirements
- Compatibility (from SKILL.md): Requires an immutable training image, reachable checkpoint storage, a scoped Vast.ai key, and an approved GPU budget.
- 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.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 an immutable training image, reachable checkpoint storage, a scoped Vast.ai key, and an approved GPU budget.
From compatibility in the SKILL.md frontmatter.
Context cost
Vastai Core Workflow A 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 82 tokens; SKILL.md has 451 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). 451 words, ~1,073 tokens.
Download SKILL.mdSave it as
.claude/skills/vastai-core-workflow-a/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- vastai-core-workflow-a
- description
- Analyze and execute a checkpointed Vast.ai training job from offer policy through artifact recovery and destruction. Use when a repeatable single-job GPU run needs budget and interruption controls. Trigger with: "run training on Vast.ai", "checkpoint a Vast.ai job", "recover Vast.ai training artifacts".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires an immutable training image, reachable checkpoint storage, a scoped Vast.ai key, and an approved GPU budget.
- version
- 2.0.0
- argument-hint
- [training-command-gpu-policy-and-checkpoint-target]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, vastai, training, checkpoints, instances
Checkpointed Vast.ai Training Run
Overview
Treat a training run as a recoverable state machine, not an SSH session. Bind code and image identity, select an offer through policy, persist checkpoints outside the disposable root disk, export final evidence, and destroy.
Prerequisites
- Immutable image and code revision with deterministic training command
- GPU, VRAM, disk, reliability, geography, and price policy
- Checkpoint destination, resume test, runtime deadline, and cleanup owner
Instructions
Step 1: Freeze the run manifest
Record code revision, image digest, dataset version, command, seed, expected checkpoint cadence, budget, and output destination.
Step 2: Select and create
Search only verified rentable offers that meet the manifest, record price components, and create one labeled instance. Persist new_contract immediately.
Step 3: Reach readiness safely
Poll structured instance state with a deadline and terminal branches. Confirm image identity, disk headroom, GPU model, and CUDA visibility.
Step 4: Run with external checkpoints
Start the workload so checkpoints are uploaded or copied to durable storage at the declared cadence. A local checkpoint alone is not recovery evidence.
Step 5: Verify completion or resume
Validate artifact checksums and run metadata. For an interruption, provision a replacement from policy and prove resume from the last durable checkpoint.
Step 6: Close the cost boundary
Copy final logs and checksums, destroy the instance, confirm removal, and reconcile actual spend against the manifest.
Authentication
Use a scoped control-plane key for search and instance operations. Give the workload only the storage credential needed for its checkpoint prefix, with no Vast.ai billing or team authority.
Show full SKILL.md (200 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
- Frozen run and offer-selection manifest
- State, checkpoint, resume, artifact, and spend evidence
- Confirmed instance destruction and discrepancy report
Return revision, image digest, offer and instance IDs, checkpoint URI/checksum, terminal result, actual spend, and cleanup confirmation.
Examples
A fine-tuning job checkpoints every ten minutes to a run-specific object prefix; after a simulated interruption, a replacement instance resumes from the last checksum and the original contract is destroyed.
Error Handling
| Failure | Response |
|---|---|
| No compliant offer exists | Pause the run and report the binding constraint; do not silently weaken reliability or price policy. |
| Checkpoint upload fails | Stop training before the recovery window is exceeded and repair storage access. |
| Host goes offline | Use the last external checkpoint on a different host and preserve the affected instance ID for support. |
| Artifact checksum fails | Do not mark the run complete; retain evidence and rerun from the last verified checkpoint. |
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-core-workflow-a of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Vastai Core Workflow A 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 Core Workflow A this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 36 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Vastai Core Workflow A
What does Vastai Core Workflow A do?
Analyze and execute a checkpointed Vast.ai training job from offer policy through artifact recovery and destruction. Vastai Core Workflow A is an agent skill from jeremylongshore/tons-of-skills-marketplace.ai training job from offer policy through artifact recovery and destruction.
When should I use Vastai Core Workflow A?
Vastai Core Workflow A fits situations like: A repeatable single-job GPU run needs budget and interruption controls; with: run training on Vast.ai; checkpoint a Vast.ai job; recover Vast.ai training artifacts.
How do I install Vastai Core Workflow A in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-a -a claude-code`. Or copy the skill folder (skills/.curated/vastai-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vastai-core-workflow-a in your project. Claude Code loads it when a task matches its description.
How do I install Vastai Core Workflow A in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-a -a codex`. Or copy the skill folder (skills/.curated/vastai-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vastai-core-workflow-a in your project. Codex loads it when a task matches its description.
Can I use Vastai Core Workflow A 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-core-workflow-a -a cursor` (or -a -a, -a or -a for the others). To copy it by hand, put the folder in .cursor/skills/vastai-core-workflow-a, .gemini/skills/vastai-core-workflow-a, .github/skills/vastai-core-workflow-a and .opencode/skills/vastai-core-workflow-a in your project.
What does Vastai Core Workflow A need to run?
SKILL.md names no scripts, command-line tools or credentials: Vastai Core Workflow A is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires an immutable training image, reachable checkpoint storage, a scoped Vast.ai key, and an approved GPU budget..
Does Vastai Core Workflow A access the network?
SKILL.md names 1 domain. As links in the text: docs.vast.ai. This is read from the text; nothing was executed.
Is Vastai Core Workflow A 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 Core Workflow A use?
Vastai Core Workflow A 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 Core Workflow A 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 335 tokens, read only when the agent opens those files.
What are the alternatives to Vastai Core Workflow A?
Skills that share tags, products or a category with Vastai Core Workflow A: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vastai Core Workflow A?
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.