gemini-best-practices

gemini-best-practices is a skill for Claude Code from takeshy/obsidian-llm-hub. It costs 40 tokens per session (1,069 once invoked), scanned A, a copy of gemini-best-practices, MIT.

Review instructions for Gemini API code, covering Google's recommended SDK, secret handling, safety settings and response checks.

In plain words
What is it for?
Use them when adding, modifying or auditing Gemini calls, especially code in src/core/gemini.ts.
Why use it?
They help prevent deprecated libraries, exposed API keys, missing safety controls and unchecked failed responses.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use them when adding, modifying or auditing Gemini calls, especially code in src/core/gemini.ts.

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Install with agentmods
npx agentmods add skills/takeshy/obsidian-llm-hub/gemini-best-practices
Install

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.

Any agent
npx skills add takeshy/obsidian-llm-hub --skill gemini-best-practices
Clone the repo
git clone --depth 1 https://github.com/takeshy/obsidian-llm-hub

Made for: Claude Code.

Wrote 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.

agentmods badge for gemini-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/takeshy/obsidian-llm-hub/gemini-best-practices/github.svg)](https://agentmods.dev/skills/takeshy/obsidian-llm-hub/gemini-best-practices)
Your own site
<a href="https://agentmods.dev/skills/takeshy/obsidian-llm-hub/gemini-best-practices"><img src="https://agentmods.dev/badge/skills/takeshy/obsidian-llm-hub/gemini-best-practices/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.

agentmods 80×15 button for gemini-best-practices

Your own site · 80×15
<a href="https://agentmods.dev/skills/takeshy/obsidian-llm-hub/gemini-best-practices"><img src="https://agentmods.dev/badge/skills/takeshy/obsidian-llm-hub/gemini-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,069 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01069
Opus 5 $0.00020 $0.00535
Sonnet 5 $0.00008 $0.00214
Haiku 4.5 $0.00004 $0.00107

Measured 12d ago against content hash 2b2c7c0be2d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gemini-best-practices 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 12d 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.

Origin

This is a copy

100% identical to gemini-best-practices — 0 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.

.claude/skills/gemini-best-practices/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini API Best Practices

When reviewing or modifying Gemini API integration code, ensure compliance with Google's official best practices from google-gemini/gemini-skills.

SDK and Package

  • Correct SDK: @google/genai (npm)
  • NEVER use deprecated: @google/generative-ai (old package)
  • Prefer environment variables for API keys over hard-coding

Safety Settings

All API calls (generateContent, generateContentStream, chats.create) MUST include safetySettings in the config:

import { HarmCategory, HarmBlockThreshold, type SafetySetting } from "@google/genai";

const DEFAULT_SAFETY_SETTINGS: SafetySetting[] = [
  { category: HarmCategory.HARM_CATEGORY_HARASSMENT, threshold: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE },
  { category: HarmCategory.HARM_CATEGORY_HATE_SPEECH, threshold: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE },
  { category: HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT, threshold: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE },
  { category: HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT, threshold: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE },
];

Response Validation (finishReason)

Always check finishReason on response candidates:

  • SAFETY - Response blocked by safety filters; inform user to rephrase
  • RECITATION - Blocked due to potential copyrighted content recitation
  • MAX_TOKENS - Output truncated; consider informing user
  • STOP - Normal completion
import { FinishReason } from "@google/genai";

// Check candidates[0].finishReason after each response
if (candidate.finishReason === FinishReason.SAFETY) {
  // Handle blocked response
}

For non-streaming: check response.candidates[0].finishReason before using response.text. For streaming: check finishReason in chunk candidates.

System Instructions

  • Pass via systemInstruction in config (not as a chat message)
  • System instructions are interaction-scoped; re-specify on each chat session creation

Tool / Function Calling

Read the full file on GitHub · 110 lines

Changes

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.

  1. 12d ago First seen · 110 lines · 40 tokens per session scan A 2b2c7c0be2d4

Subscribe to this mod's changes

gemini-best-practices is a skill published in the GitHub repository takeshy/obsidian-llm-hub (34 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 1,069 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gemini-best-practices, differing in 0 lines, and is treated as a copy.

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