Claude Code Templates is a command-line tool and catalogue for configuring Anthropic’s Claude Code with agents, commands, settings, hooks, integrations, skills, and project templates. Developers use it to browse and install reusable components for their coding workflows. The catalogue includes many of these Claude Code components.
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/davila7/claude-code-templates/gemini-api-agent-platformnpx skills add davila7/claude-code-templates --skill gemini-api-agent-platformgit clone --depth 1 https://github.com/davila7/claude-code-templatesWrote 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/davila7/claude-code-templates/gemini-api-agent-platform)<a href="https://agentmods.dev/skills/davila7/claude-code-templates/gemini-api-agent-platform"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/gemini-api-agent-platform.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 5.1 | $0.00061 | $0.02313 |
| Opus 5 | $0.00030 | $0.01156 |
| Sonnet 5 | $0.00012 | $0.00463 |
| Haiku 4.5 | $0.00006 | $0.00231 |
Grade A, and why
gemini-api-agent-platform 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 2d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- gemini-api — 94% identical, 5 lines differ
- gemini-api — 94% identical, 5 lines differ
- gemini-api — 94% identical, 5 lines differ
- gemini-api — 92% identical, 9 lines differ
- gemini-api — 84% identical, 58 lines differ
- gemini-api — 84% identical, 58 lines differ
- gemini-api — 81% identical, 76 lines differ
- gemini-api — 81% identical, 76 lines differ
How it starts
The opening of the file, as written. The whole thing — 232 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 3.0 KB
- references/live_api.md 1.0 KB
- references/media_generation.md 2.9 KB
- references/model_tuning.md 934 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.
- 2d ago First seen · 232 lines · 61 tokens per session scan A f6e5d8a05a0c
gemini-api-agent-platform is a skill published in the GitHub repository davila7/claude-code-templates (30,533 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 2,313 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
chief-ai-officer-advisor
../../../c-level-advisor/skills/chief-ai-officer-advisor/SKILL.md.
chief-data-officer-advisor
../../../c-level-advisor/skills/chief-data-officer-advisor/SKILL.md.
world-model-diagnostic
Twenty-minute diagnostic mapping a team to a world-model paradigm (vector DB, structured ontology, signal-fidelity). Use when you say "run the world model diagnostic", "audit our world model", "which world model architecture fits us", or "audit where we automate judgment". Use for AI readiness assessments and…
local-llm
Локальный LLM-стек на Mac (Apple Silicon, MLX) под приватность и запасной режим. NL-вход к установке/запуску/переключению моделей + слой суждения для мониторинга новых моделей. Тонкая обёртка над скриптами РП404, не замена.
benchmark-models
Cross-model benchmark. Runs one prompt or skill through Claude, GPT (Codex CLI), and Gemini side by side and compares latency, tokens, cost, tool calls, and optionally output quality via an Anthropic-API judge. Answers "which model is actually best for this skill?" with data. Use when you say "benchmark models"…
extreme-router-gateway-engine
AI Gateway routing, provider management, and core engine expertise for ExtremeRouter. Use when working on request routing, provider fallback, token refresh, format translation, streaming, or when the user asks about "how does routing work", "add a new provider", "fix the fallback logic", "optimize token usage", or…