Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-deploygit clone --depth 1 https://github.com/GoogleCloudPlatform/vertex-ai-samplesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/googlecloudplatform/vertex-ai-samples/vertex-deploy)<a href="https://agentmods.dev/skills/googlecloudplatform/vertex-ai-samples/vertex-deploy"><img src="https://agentmods.dev/badge/skills/googlecloudplatform/vertex-ai-samples/vertex-deploy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/googlecloudplatform/vertex-ai-samples/vertex-deploy"><img src="https://agentmods.dev/badge/skills/googlecloudplatform/vertex-ai-samples/vertex-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 58 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 200 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02591 |
| Opus 5.5 | $0.00000 | $0.01036 |
| Sonnet 5.5 | $0.00000 | $0.00518 |
| Haiku 4.5 | $0.00000 | $0.00259 |
Grade A, and why
vertex-deploy scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
endpoint's dedicated DNS name and send a `curl` request. How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: Vertex AI Model Garden Deploy description: Deploy open models or custom weights to Vertex AI endpoints.
Vertex AI Model Garden Deploy Skill
This skill provides instructions for deploying Open Models from Vertex AI Model Garden to endpoints, and subsequently undeploying them to clean up resources.
1. Prerequisites
Before deploying, ensure you have the correct project and region set. The
commands below use placeholder variables PROJECT_ID and LOCATION_ID.
Ensure you are authenticated:
gcloud auth login
gcloud auth application-default login
gcloud config set project $PROJECT_ID`
2. Discovering Deployable Models
You can list models available in Model Garden and check if they can be self-deployed.
gcloud ai model-garden models list
To see what machine types and accelerators are supported for a specific model
(e.g., google/gemma3@gemma-3-27b-it):
gcloud ai model-garden models list-deployment-config \
--model="google/gemma3@gemma-3-27b-it"
[!NOTE] Some models, especially Hugging Face models, might require a Hugging Face Access Token for deployment.
[!TIP] Model Recommendation Instructions: If a user asks to deploy a model but does not specify which one, you should recommend a model based on their use case (e.g., Llama 3.3 70B for general purpose or Gemma 3 for lightweight tasks). * You MUST ensure you are recommending the latest version or popular version of the suggested model family. * You MUST verify the model is currently deployable using
gcloud ai model-garden models listbefore suggesting it to the user.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 302 lines · 0 tokens per session scan A 1d84acc89d89
vertex-deploy is a skill published in the GitHub repository GoogleCloudPlatform/vertex-ai-samples (790 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,591 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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