Google Cloud Networking Observability
google/skills
Investigates Google Cloud networking issues by analyzing GCP logs, metrics, and diagnostics.
Observe Vast.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals.
Install Vastai Observability
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-observability --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-observability .claude/skills/vastai-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-observability into .claude/skills/vastai-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-observability", 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-observabilityType 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-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-observability --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-observability .agents/skills/vastai-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-observability into .agents/skills/vastai-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-observability", 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-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-observability --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-observability .cursor/skills/vastai-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-observability into .cursor/skills/vastai-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-observability", 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-observability--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-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-observability --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-observability .gemini/skills/vastai-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-observability into .gemini/skills/vastai-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-observability", 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-observabilityInstalls 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-observability -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-observability .github/skills/vastai-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-observability into .github/skills/vastai-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-observability", 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-observability -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-observability --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-observability .opencode/skills/vastai-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-observability into .opencode/skills/vastai-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-observability", 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-observability- GitHub stars
- 2.8k
- Token cost
- ~1k tokens
- SKILL.md length
- 392 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Observe Vast.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals.
- Works in 6 steps: Inventory labeled resources → Collect structured control state → Collect workload signals → …
- Building dashboards
- 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 Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Observe Vast.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals. Use when building dashboards, alerts, or release telemetry. Trigger with: "monitor Vast.ai", "alert on Vast.ai instances", "observe Vast.ai Serverless".
Its SKILL.md is about 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 read-scoped Vast.ai access, resource labels, durable telemetry storage, and named responders.
It sits in DevOps & Cloud, covering Observability and Serverless. 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
- Building dashboards
- Release telemetry
- With: monitor Vast.ai
- Alert on Vast.ai instances
Example prompts
- “monitor Vast.ai”
- “alert on Vast.ai instances”
- “observe Vast.ai Serverless”
- “/vastai-observability”
Requirements
- Compatibility (from SKILL.md): Requires read-scoped Vast.ai access, resource labels, durable telemetry storage, and named responders.
- 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 read-scoped Vast.ai access, resource labels, durable telemetry storage, and named responders.
From compatibility in the SKILL.md frontmatter.
Context cost
Vastai Observability loads about 1k tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 392 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). 392 words, ~1,008 tokens.
Download SKILL.mdSave it as
.claude/skills/vastai-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- vastai-observability
- description
- Observe Vast.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals. Use when building dashboards, alerts, or release telemetry. Trigger with: "monitor Vast.ai", "alert on Vast.ai instances", "observe Vast.ai Serverless".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires read-scoped Vast.ai access, resource labels, durable telemetry storage, and named responders.
- version
- 2.0.0
- argument-hint
- [resource-scope-slos-and-alert-destinations]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, vastai, observability, alerts, serverless
Vast.ai Control-Plane Observability
Overview
Measure provider state and workload health separately. Alerts must identify a resource, threshold, evidence link, responder, and safe action; a dashboard without terminal-state and billing coverage is incomplete.
Prerequisites
- Instance, endpoint, workergroup, deployment, and account scopes
- Latency, error, queue, utilization, state-age, balance, and cost objectives
- Collection interval, retention, alert routing, and incident owner
Instructions
Step 1: Inventory labeled resources
Map instance labels and Serverless IDs to service, environment, release, cost center, and owner.
Step 2: Collect structured control state
Read instance actual status, timestamps, price, disk, and endpoints; collect endpoint/workergroup status, logs, and deployment versions.
Step 3: Collect workload signals
Measure request/job success, latency, queue time, GPU utilization, memory, disk, checkpoint age, and last successful artifact.
Step 4: Add billing protection
Track credit balance, instance and storage charges, active/stopped age, and orphaned resources. Alert before balance or cleanup risk becomes urgent.
Step 5: Define stateful alerts
Alert on terminal states, excessive transition age, queue/SLO breach, checkpoint staleness, low balance, and cleanup failure with deduplication.
Step 6: Test the path
Inject a canary event or threshold breach, verify delivery and ownership, then record recovery and false-positive behavior.
Authentication
Use read-only keys for collectors and distinct secrets for alert sinks. Never put a mutation-capable Vast.ai key in dashboards or telemetry processors.
Show full SKILL.md (179 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
- Resource-to-owner inventory and telemetry schema
- Dashboard and actionable alert definitions
- Alert-path test, retention, and unresolved coverage receipt
Return resource scope, collection interval, SLOs, tested alert, responder, evidence location, and blind spots.
Examples
A dashboard separates an instance's running state from workload request success, pages on stale external checkpoints and low balance, and assigns stopped-storage leaks to the billing owner.
Error Handling
| Failure | Response |
|---|---|
| Collector receives 403 | Add only the documented read category needed by that metric. |
| Resource is missing from inventory | Quarantine the alert and assign ownership before automated action. |
| Metrics lag exceeds the SLO | Mark the dashboard stale and use direct provider state during incidents. |
| Alert contains a secret or payload | Disable the route, scrub data, rotate credentials, and narrow fields. |
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-observability of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Vastai Observability 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 Observability this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1k | Automated safety check: Pass | MIT | |
| Google Cloud Networking Observabilitygoogle/skills | 21k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Neonsmontlouis/bible-strong | 172 | — | ~7.1k | Automated safety check: Notes | GPL-3.0 | |
| Cloud Provisioningelastic/agent-skills | 592 | — | ~5.4k | Automated safety check: Pass | Apache-2.0 | |
| AWS Harnesshoodini/ai-agents-skills | 282 | — | ~4.2k | Automated safety check: Notes | None | |
| Distributed Tracingwshobson/agents | 40k | 12 repos | ~527 | Automated safety check: Pass | MIT |
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Questions about Vastai Observability
What does Vastai Observability do?
Observe Vast.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals. Vastai Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace.ai renter instances and Serverless resources using actionable state, logs, queue, utilization, balance, and cost signals.
When should I use Vastai Observability?
Vastai Observability fits situations like: building dashboards; release telemetry; with: monitor Vast.ai; alert on Vast.ai instances.
How do I install Vastai Observability in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-observability -a claude-code`. Or copy the skill folder (skills/.curated/vastai-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vastai-observability in your project. Claude Code loads it when a task matches its description.
How do I install Vastai Observability in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-observability -a codex`. Or copy the skill folder (skills/.curated/vastai-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vastai-observability in your project. Codex loads it when a task matches its description.
Can I use Vastai Observability 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-observability -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-observability, .gemini/skills/vastai-observability, .github/skills/vastai-observability and .opencode/skills/vastai-observability in your project.
What does Vastai Observability need to run?
SKILL.md names no scripts, command-line tools or credentials: Vastai Observability is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires read-scoped Vast.ai access, resource labels, durable telemetry storage, and named responders..
Does Vastai Observability 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 Observability 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 Observability use?
Vastai Observability 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 Observability use?
About 1k tokens (SKILL.md is roughly 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 333 tokens, read only when the agent opens those files.
What are the alternatives to Vastai Observability?
Skills that share tags, products or a category with Vastai Observability: Google Cloud Networking Observability (google/skills, 21k stars), Neon (smontlouis/bible-strong, 172 stars), Cloud Provisioning (elastic/agent-skills, 592 stars) and AWS Harness (hoodini/ai-agents-skills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vastai Observability?
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.