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 anton-abyzov/vskill --skill kie-gemini-omnigit clone --depth 1 https://github.com/anton-abyzov/vskillWrote 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/anton-abyzov/vskill/kie-gemini-omni)<a href="https://agentmods.dev/skills/anton-abyzov/vskill/kie-gemini-omni"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/kie-gemini-omni/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/anton-abyzov/vskill/kie-gemini-omni"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/kie-gemini-omni.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 | $0.00192 | $0.04124 |
| Opus 5.5 | $0.00077 | $0.01650 |
| Sonnet 5.5 | $0.00038 | $0.00825 |
| Haiku 4.5 | $0.00019 | $0.00412 |
Grade A, and why
kie-gemini-omni scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 27d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
TASK_ID=$(curl -sS -X POST https://api.kie.ai/api/v1/jobs/createTask \ How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kie Gemini Omni — image + video generation harness
You drive Kie AI's job queue (/api/v1/jobs/createTask + /api/v1/jobs/recordInfo) to produce images and short clips through Google's Gemini-family models. Veo3 is deprecated — use Nano Banana Pro for stills, gemini-omni-video for clips.
When to use which model
| Use case | Model ID | Aspect / resolution | Latency |
|---|---|---|---|
| DEFAULT — X-reply image, blog hero, brand visual, poster, diagram | gpt-image-2-text-to-image (GPT Image v2, Anton's pick) |
aspect_ratio auto/16:9/1:1/9:16/… , resolution 1K/2K/4K | 30-120 sec |
| Edit / restyle an existing image, or composite with reference images | gpt-image-2-image-to-image |
same; pass refs via input_urls (public URLs) |
30-120 sec |
| Fallback if GPT Image v2 errors or rejects the prompt | nano-banana-pro (Gemini 3 Pro Image) |
16:9, 1:1, 9:16 — 1080p/2K | 10-30 sec |
| Cheap batch images (~20+ at once) | nano-banana-2 (Gemini 3.1 Flash Image) |
same | 5-15 sec |
| Short-form vertical clip 6-10s (TikTok/Reels/Shorts B-roll) | gemini-omni-video |
9:16, 16:9, 1:1, up to 10s | 90-300 sec |
Default still model is gpt-image-2-text-to-image (per Anton, 2026-06-01). It renders on-image text far more reliably than Nano Banana and is the right tool for posters/cards with words. Nano Banana Pro is the fallback only. Note the param differences vs Nano Banana: GPT Image v2 uses resolution: 1K|2K|4K (NOT 1080p), takes aspect_ratio (default auto; 1:1 cannot go 4K), and does NOT take output_format (returns PNG). Result still comes back as .data.resultJson → .resultUrls[0], same poller, same Cloudflare-UA download gotcha.
Never use Veo3 — Kie still exposes the endpoint for backwards compat, but the model is outdated, the prompts you'd write for Veo3 don't translate, and Gemini Omni Video produces equivalent or better output at lower credit cost.
Pre-flight (every run)
export KIE_API_KEY=$(security find-generic-password -s 'kie-api-key' -w 2>/dev/null || cat ~/.config/kie/api_key)
test -n "$KIE_API_KEY" || { echo "KIE_API_KEY missing"; exit 1; }
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.
- 27d ago First seen · 275 lines · 192 tokens per session scan A 8faf6be52087
kie-gemini-omni is a skill published in the GitHub repository anton-abyzov/vskill (48 stars, last pushed yesterday), licensed MIT. It adds 192 tokens to every session and 4,124 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-26.
Other skills, from other repositories
start-coding-task
Start a CodeAgent coding task from the user's request on one of their existing sessions, and report the session id so they can follow it.
review-agent-work
Review the changes a CodeAgent session made, and open or review a pull request when the user asks.
continue-with-codeagent-credits
Switch a session to a CodeAgent managed agent billed from the user's prepaid credits, with the user's explicit confirmation.
supervise-session
Monitor, redirect, answer or stop an existing CodeAgent session.
prereview
Review the current diff against this team's conventions and invariants before it ships. Invoke with /prereview before opening a PR, or run as a pre-push gate.
agent-config-setup
Generate AI agent config files for any project — Cursor, Claude Code, Copilot, Windsurf, Cline, AGENTS.md. Use when setting up a new project for AI agents.