zai-org/ZCode
Professional PDF toolkit covering four production workflows: reports, creative visuals, academic LaTeX, and existing PDF processing.
Reduce Vast.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable.
Install Vastai Cost Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-cost-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-cost-tuning --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-cost-tuning .claude/skills/vastai-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-cost-tuning into .claude/skills/vastai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-cost-tuning", 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-cost-tuningType 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-cost-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-cost-tuning --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-cost-tuning .agents/skills/vastai-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-cost-tuning into .agents/skills/vastai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-cost-tuning", 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-cost-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-cost-tuning --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-cost-tuning .cursor/skills/vastai-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-cost-tuning into .cursor/skills/vastai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-cost-tuning", 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-cost-tuning--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-cost-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-cost-tuning --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-cost-tuning .gemini/skills/vastai-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-cost-tuning into .gemini/skills/vastai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-cost-tuning", 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-cost-tuningInstalls 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-cost-tuning -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-cost-tuning .github/skills/vastai-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-cost-tuning into .github/skills/vastai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-cost-tuning", 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-cost-tuning -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-cost-tuning --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-cost-tuning .opencode/skills/vastai-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-cost-tuning into .opencode/skills/vastai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-cost-tuning", 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-cost-tuning- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 421 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reduce Vast.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable.
- Works in 6 steps: Build a normalized offer set → Model useful-work cost → Choose rental semantics → …
- Selecting offers
- 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 Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Reduce Vast.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable. Use when selecting offers, setting spot policy, cleaning idle resources, or reconciling invoices. Trigger with: "optimize Vast.ai cost", "find Vast.ai cost leaks", "compare Vast.ai offers".
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 workload performance requirements, Vast.ai offer and instance data, billing-read access, and a cleanup owner.
It sits in Documents & Office, covering Forms and invoices. 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
- Selecting offers
- Setting spot policy
- Cleaning idle resources
- Reconciling invoices
Example prompts
- “optimize Vast.ai cost”
- “find Vast.ai cost leaks”
- “compare Vast.ai offers”
- “/vastai-cost-tuning”
Requirements
- Compatibility (from SKILL.md): Requires workload performance requirements, Vast.ai offer and instance data, billing-read access, and a cleanup owner.
- 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 workload performance requirements, Vast.ai offer and instance data, billing-read access, and a cleanup owner.
From compatibility in the SKILL.md frontmatter.
Context cost
Vastai Cost Tuning 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 84 tokens; SKILL.md has 421 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). 421 words, ~1,061 tokens.
Download SKILL.mdSave it as
.claude/skills/vastai-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- vastai-cost-tuning
- description
- Reduce Vast.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable. Use when selecting offers, setting spot policy, cleaning idle resources, or reconciling invoices. Trigger with: "optimize Vast.ai cost", "find Vast.ai cost leaks", "compare Vast.ai offers".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires workload performance requirements, Vast.ai offer and instance data, billing-read access, and a cleanup owner.
- version
- 2.0.0
- argument-hint
- [workload-profile-budget-and-time-window]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, vastai, cost, billing, offers
Vast.ai GPU Cost and Leakage Control
Overview
Optimize total useful-work cost, not headline GPU price. Account for performance, reliability, storage, bandwidth, loading behavior, stopped-instance charges, interruptible semantics, and recovery overhead.
Prerequisites
- GPU/VRAM, throughput, reliability, geography, disk, and completion-time requirements
- Hourly and total budget plus checkpoint/restart cost assumptions
- Instance, volume, charge, and invoice inventory for the analysis window
Instructions
Step 1: Build a normalized offer set
Search verified rentable offers and retain GPU price, storage, bandwidth, reliability, dlperf, dlperf_usd, network, and host constraints.
Step 2: Model useful-work cost
Estimate runtime from measured throughput, then add storage, data transfer, startup, checkpoint, failure, and operator recovery costs.
Step 3: Choose rental semantics
Use on-demand when completion certainty dominates. Use bid pricing only for checkpointed work and pass an explicit bid; a bid search alone does not create an interruptible rental.
Step 4: Find leakage
Identify stopped instances still paying storage, idle active GPUs, abandoned volumes, oversized disks, duplicate canaries, and failed jobs without teardown.
Step 5: Apply bounded changes
Destroy confirmed abandoned resources, resize only through a tested replacement path, and preserve external artifacts before irreversible actions.
Step 6: Reconcile savings
Compare charges and invoices before and after using completed-work units, not just hourly rate, and record any service or reliability regression.
Authentication
Use billing-read for analysis and separate instance-write authority for approved cleanup. Never grant billing-write or credit-transfer permission to an optimizer.
Show full SKILL.md (191 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
- Normalized offer and useful-work cost model
- Leak inventory with owner and safe disposition
- Verified savings, performance delta, and cleanup receipt
Return window, workload unit, selected offer policy, resource IDs, modeled/actual cost, savings, and unresolved billing risk.
Examples
A checkpointed batch job selects a high dlperf_usd bid offer with an explicit bid, while an idle stopped instance and orphaned volume are destroyed after artifact verification; savings are measured per completed batch.
Error Handling
| Failure | Response |
|---|---|
| Required pricing field is absent | Mark the offer incomparable rather than assuming zero cost. |
| Spot work lacks external checkpoints | Use on-demand or add recovery before selecting bid pricing. |
| Stopped instance is called free | Correct the model because storage charges continue until destruction. |
| Cleanup ownership is unclear | Do not destroy; assign an owner and preserve the leak in the report. |
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-cost-tuning of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Vastai Cost Tuning 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 Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| PDFzai-org/ZCode | 7.7k | — | ~18k | Automated safety check: Notes | Proprietary | |
| Form Fillingplatonai/Browser4 | 1.2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Code2mediatsingliuwin/autoclaw | 283 | — | ~985 | Automated safety check: Pass | MIT | |
| Token ReceiptHchen1218/token-receipt | 126 | — | ~2.1k | Automated safety check: Pass | None | |
| Invoice Makertsingliuwin/autoclaw | 283 | — | ~619 | Automated safety check: Pass | MIT |
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Categories
Questions about Vastai Cost Tuning
What does Vastai Cost Tuning do?
Reduce Vast.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable. Vastai Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace.ai GPU, storage, and bandwidth spend without weakening workload requirements or leaving stopped resources billable.
When should I use Vastai Cost Tuning?
Vastai Cost Tuning fits situations like: selecting offers; setting spot policy; cleaning idle resources; reconciling invoices.
How do I install Vastai Cost Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/vastai-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vastai-cost-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Vastai Cost Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/vastai-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vastai-cost-tuning in your project. Codex loads it when a task matches its description.
Can I use Vastai Cost Tuning 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-cost-tuning -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-cost-tuning, .gemini/skills/vastai-cost-tuning, .github/skills/vastai-cost-tuning and .opencode/skills/vastai-cost-tuning in your project.
What does Vastai Cost Tuning need to run?
SKILL.md names no scripts, command-line tools or credentials: Vastai Cost Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires workload performance requirements, Vast.ai offer and instance data, billing-read access, and a cleanup owner..
Does Vastai Cost Tuning 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 Cost Tuning 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 Cost Tuning use?
Vastai Cost Tuning 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 Cost Tuning use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 336 tokens, read only when the agent opens those files.
What are the alternatives to Vastai Cost Tuning?
Skills that share tags, products or a category with Vastai Cost Tuning: PDF (zai-org/ZCode, 7.7k stars), Form Filling (platonai/Browser4, 1.2k stars), Code2media (tsingliuwin/autoclaw, 283 stars) and Token Receipt (Hchen1218/token-receipt, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vastai Cost Tuning?
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.