Borrowing it
Nothing to install: this file belongs to techequitycloud/rad-modules. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/techequitycloud/rad-modules/main/.agent/skills/gemini-api/SKILL.mdgit clone --depth 1 https://github.com/techequitycloud/rad-modulesWrote 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/techequitycloud/rad-modules/gemini-api)<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/gemini-api"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/gemini-api/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/techequitycloud/rad-modules/gemini-api"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/gemini-api.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00080 | $0.02294 |
| Opus 5.5 | $0.00032 | $0.00918 |
| Sonnet 5.5 | $0.00016 | $0.00459 |
| Haiku 4.5 | $0.00008 | $0.00229 |
Grade A, and why
gemini-api scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
92% identical to gemini-api-agent-platform — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IMPORTANT: Agent Platform (full name Gemini Enterprise Agent Platform) was previously named "Vertex AI" and many web resources use the legacy branding.
Gemini API in Agent Platform
Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Agent Platform.
Provide these key capabilities:
- Text generation - Chat, completion, summarization
- Multimodal understanding - Process images, audio, video, and documents
- Function calling - Let the model invoke your functions
- Structured output - Generate valid JSON matching your schema
- Context caching - Cache large contexts for efficiency
- Embeddings - Generate text embeddings for semantic search
- Live Realtime API - Bidirectional streaming for low latency Voice and Video interactions
- Batch Prediction - Handle massive async dataset prediction workloads
Core Directives
- Unified SDK: ALWAYS use the Gen AI SDK (
google-genaifor Python,@google/genaifor JS/TS,google.golang.org/genaifor Go,com.google.genai:google-genaifor Java,Google.GenAIfor C#). - Legacy SDKs: DO NOT use
google-cloud-aiplatform,@google-cloud/vertexai, orgoogle-generativeai.
SDKs
- Python: Install
google-genaiwithpip install google-genai - JavaScript/TypeScript: Install
@google/genaiwithnpm install @google/genai - Go: Install
google.golang.org/genaiwithgo get google.golang.org/genai - C#/.NET: Install
Google.GenAIwithdotnet add package Google.GenAI - Java:
-
groupId:
com.google.genai, artifactId:google-genai -
Latest version can be found here: https://central.sonatype.com/artifact/com.google.genai/google-genai/versions (let's call it
LAST_VERSION) -
Install in
build.gradle:implementation("com.google.genai:google-genai:${LAST_VERSION}") -
Install Maven dependency in
pom.xml:<dependency> <groupId>com.google.genai</groupId> <artifactId>google-genai</artifactId> <version>${LAST_VERSION}</version> </dependency>
-
What ships with it
9 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.
- references/advanced_features.md 4.4 KB
- references/bounding_box.md 1.8 KB
- references/embeddings.md 590 B
- references/live_api.md 1.0 KB
- references/media_generation.md 3.0 KB
- references/model_tuning.md 928 B
- references/safety.md 1.8 KB
- references/structured_and_tools.md 3.7 KB
- references/text_and_multimodal.md 2.3 KB
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 · 229 lines · 80 tokens per session scan A 9a26d33af8e7
gemini-api is a skill published in the GitHub repository techequitycloud/rad-modules (2 stars, last pushed 2d ago), licensed MPL-2.0. It adds 80 tokens to every session and 2,294 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to gemini-api-agent-platform, differing in 9 lines, and is treated as a copy.
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