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 agentmods add skills/googlecloudplatform/vertex-ai-samples/vertex-inferencenpx skills add GoogleCloudPlatform/vertex-ai-samples --skill vertex-inferencegit 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-inference)<a href="https://agentmods.dev/skills/googlecloudplatform/vertex-ai-samples/vertex-inference"><img src="https://agentmods.dev/badge/skills/googlecloudplatform/vertex-ai-samples/vertex-inference.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00000 | $0.03209 |
| Opus 5 | $0.00000 | $0.01605 |
| Sonnet 5 | $0.00000 | $0.00642 |
| Haiku 4.5 | $0.00000 | $0.00321 |
Grade A, and why
vertex-inference 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 4d 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.
> 3. Look for the **"Sample Code"** or **"Use this model"** button on the Model Garden page to get the exact `curl` or Python code for that specific model version. How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: Vertex AI GenAI Inference description: Instructions for connecting to and performing inference with Google Cloud Vertex AI GenAI models, including Gemini and OpenMaaS (Llama, DeepSeek, Qwen, etc.).
Vertex AI GenAI Inference Skill
This skill provides instructions for authenticating and connecting to Google Cloud Vertex AI to use Generative AI models. It covers both First-Party (Gemini) and Third-Party (OpenMaaS) models.
[!TIP] Sample Scripts: This skill includes fully functional sample scripts in the
scripts/directory (e.g.,scripts/openmaas_openai_sdk.py). When running these scripts, ALWAYS create and use a local virtual environment:python3 -m venv .venv && source .venv/bin/activate pip install -r scripts/requirements.txtVerify All Scripts: You can run all scripts at once to verify your setup:
./scripts/verify_all.sh
[!IMPORTANT] CRITICAL: Model IDs & Availability
- Gemini Models: See Gemini Models for valid Model IDs and Regions.
- OpenMaaS Models: See Use Open Models on Vertex AI for Llama, DeepSeek, Qwen, etc.
- Incomplete Lists: The Model IDs listed in this skill are examples only and may be incomplete or outdated.
- Action: Always verify the Model ID and Region using the links above before generating code.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- scripts/gemini_genai_sdk.py 1014 B runs code
- scripts/gemini_openai_sdk.py 1.2 KB runs code
- scripts/gemini_vertexai_sdk.py 927 B runs code
- scripts/openmaas_genai_sdk.py 1.1 KB runs code
- scripts/openmaas_openai_sdk.py 1.4 KB runs code
- scripts/openmaas_vertexai_sdk.py 1.0 KB runs code
- scripts/requirements.txt 56 B
- scripts/verify_all.sh 1.5 KB runs code
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.
- 4d ago First seen · 247 lines · 0 tokens per session scan A 6cba4fa6098e
vertex-inference is a skill published in the GitHub repository GoogleCloudPlatform/vertex-ai-samples (784 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,209 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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