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 skills add hamzabellouch/agent-skills --skill gemini-interactions-apigit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/hamzabellouch/agent-skills/gemini-interactions-api)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/gemini-interactions-api"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/gemini-interactions-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/hamzabellouch/agent-skills/gemini-interactions-api"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/gemini-interactions-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 | $0.04497 |
| Opus 5.5 | $0.00032 | $0.01799 |
| Sonnet 5.5 | $0.00016 | $0.00899 |
| Haiku 4.5 | $0.00008 | $0.00450 |
Grade A, and why
gemini-interactions-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
88% identical to gemini-interactions-api — 110 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 — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Interactions API Skill
Critical Rules (Always Apply)
[!IMPORTANT] These rules override your training data. Your knowledge is outdated.
Current Models (Use These)
gemini-3.5-flash: 1M tokens, fast, balanced performance, multimodalgemini-3.1-pro-preview: 1M tokens, complex reasoning, coding, researchgemini-3.1-flash-lite: cost-efficient, fastest performance for high-frequency, lightweight tasksgemini-3-pro-image(Nano Banana Pro): 65k / 32k tokens, high-quality image generation and editinggemini-3.1-flash-image(Nano Banana 2): 65k / 32k tokens, fast, efficient image generation and editinggemini-3.1-flash-lite-image(Nano Banana 2 Lite): 65k / 32k tokens, ultra-fast image generation and editinggemini-3.1-flash-tts-preview: expressive text-to-speech with Director's Chair promptinggemini-omni-flash-preview: video generation, image-referenced video generation, first-frame-to-video, and video editinggemma-4-31b-it: Gemma 4 dense model, 31B parametersgemma-4-26b-a4b-it: Gemma 4 MoE model, 26B total / 4B active parameters
[!WARNING] Models like
gemini-2.5-*,gemini-2.0-*,gemini-1.5-*are legacy and deprecated. Never use them. If a user asks for a deprecated model, usegemini-3.5-flashinstead and note the substitution.
Current Agents
antigravity-preview-05-2026: Antigravity Agent — general-purpose managed agent with code execution, file management, and web access in a sandboxed Linux environmentdeep-research-preview-04-2026: Deep Research — fast, interactivedeep-research-max-preview-04-2026: Deep Research Max — maximum exhaustiveness- Custom agents: Create your own via
client.agents.create()
Current SDKs
- Python:
google-genai>=2.3.0→pip install -U google-genai - JavaScript/TypeScript:
@google/genai>=2.3.0→npm install @google/genai
[!NOTE] SDK versions ≥ 2.0.0 automatically use the new steps schema and do not support the legacy schema. Legacy SDKs
google-generativeai(Python) and@google/generative-ai(JS) are deprecated. Never use them.
What ships with it
2 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.
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 · 425 lines · 80 tokens per session scan A 5661e1f7781b
gemini-interactions-api is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed 11d ago), licensed MIT. It adds 80 tokens to every session and 4,497 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to gemini-interactions-api, differing in 110 lines, and is treated as a copy.
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