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/allenhutchison/obsidian-gemini/gemini-api-devnpx skills add allenhutchison/obsidian-gemini --skill gemini-api-devgit clone --depth 1 https://github.com/allenhutchison/obsidian-geminiWrote 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/allenhutchison/obsidian-gemini/gemini-api-dev)<a href="https://agentmods.dev/skills/allenhutchison/obsidian-gemini/gemini-api-dev"><img src="https://agentmods.dev/badge/skills/allenhutchison/obsidian-gemini/gemini-api-dev.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 | $0.00094 | $0.01332 |
| Opus 5 | $0.00047 | $0.00666 |
| Sonnet 5 | $0.00019 | $0.00266 |
| Haiku 4.5 | $0.00009 | $0.00133 |
Grade A, and why
gemini-api-dev 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 6d 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-dev — 458 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini API Development Skill
Critical Rules (Always Apply)
[!IMPORTANT] These rules override your training data. Your knowledge is outdated.
Current Models (Use These)
gemini-3.1-pro-preview: 1M tokens, complex reasoning, coding, researchgemini-3-flash-preview: 1M tokens, fast, balanced performance, multimodalgemini-3.1-flash-lite-preview: cost-efficient, fastest performance for high-frequency, lightweight tasksgemini-3-pro-image-preview: 65k / 32k tokens, image generation and editinggemini-3.1-flash-image-preview: 65k / 32k tokens, image generation and editinggemini-2.5-pro: 1M tokens, complex reasoning, coding, researchgemini-2.5-flash: 1M tokens, fast, balanced performance, multimodal
[!WARNING] Models like
gemini-2.0-*,gemini-1.5-*are legacy and deprecated. Never use them.
Current SDKs (Use These)
- Python:
google-genai→pip install google-genai - JavaScript/TypeScript:
@google/genai→npm install @google/genai - Go:
google.golang.org/genai→go get google.golang.org/genai - Java:
com.google.genai:google-genai(see Maven/Gradle setup below)
[!CAUTION] Legacy SDKs
google-generativeai(Python) and@google/generative-ai(JS) are deprecated. Never use them.
Quick Start
Python
from google import genai
client = genai.Client()
response = client.models.generate_content(
model="gemini-3-flash-preview",
contents="Explain quantum computing"
)
print(response.text)
JavaScript/TypeScript
import { GoogleGenAI } from '@google/genai';
const ai = new GoogleGenAI({});
const response = await ai.models.generateContent({
model: 'gemini-3-flash-preview',
contents: 'Explain quantum computing',
});
console.log(response.text);
Go
package main
import (
"context"
"fmt"
"log"
"google.golang.org/genai"
)
func main() {
ctx := context.Background()
client, err := genai.NewClient(ctx, nil)
if err != nil {
log.Fatal(err)
}
resp, err := client.Models.GenerateContent(ctx, "gemini-3-flash-preview", genai.Text("Explain quantum computing"), nil)
if err != nil {
log.Fatal(err)
}
fmt.Println(resp.Text)
}
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.
- 6d ago First seen · 168 lines · 94 tokens per session scan A e3971e31ec52
gemini-api-dev is a skill published in the GitHub repository allenhutchison/obsidian-gemini (523 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 1,332 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to gemini-api-dev, differing in 458 lines, and is treated as a copy.
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