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 AIsa-team/agent-skills --skill media-gengit clone --depth 1 https://github.com/AIsa-team/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/aisa-team/agent-skills/media-gen)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/media-gen"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/media-gen/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/aisa-team/agent-skills/media-gen"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/media-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 152 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 152 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 173 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 195 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 221 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 232 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 254 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00075 | $0.02954 |
| Opus 5 | $0.00037 | $0.01477 |
| Sonnet 5 | $0.00015 | $0.00591 |
| Haiku 4.5 | $0.00007 | $0.00295 |
Grade A, and why
media-gen 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 11d 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.
- curl How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Gen 🎬
Generate images and videos with a single AIsa API key. Full support for every image and video model AIsa routes through its Unified LLM Gateway, across three different endpoint paths.
Compatibility
Works with any agentskills.io-compatible harness, including:
- Claude Code and Claude (Anthropic)
- OpenAI Codex
- Cursor
- Gemini CLI (Google)
- OpenCode, Goose, OpenClaw, Hermes
- and any other harness that implements the Agent Skills specification
Requires Python 3, a POSIX shell, and AISA_API_KEY (get one at
aisa.one).
🔥 What You Can Do
Image — Gemini (base64 inline)
"Generate a cyberpunk-style city nightscape, neon lights, rainy night, cinematic feel"
Image — Wan 2.7 (URL in chat response)
"Generate an ultra-detailed product shot of a red panda, studio lighting, sharp focus"
Image — Seedream (OpenAI-compatible, large format)
"Generate a 2048×2048 magazine cover: neo-noir detective portrait, film grain"
Video — text-to-video (Wan t2v)
"Sweeping establishing shot of a neon cyberpunk skyline at dusk, 5 seconds"
Video — image-to-video (Wan i2v)
"Starting from this reference image, gentle camera push-in with parallax"
Supported Models
Image generation — 4 models, 3 endpoints
| Model | Developer | Endpoint | Notes |
|---|---|---|---|
gemini-3-pro-image-preview |
POST /v1/models/{model}:generateContent |
Images returned as base64 in candidates[].parts[].inline_data |
|
wan2.7-image |
Alibaba | POST /v1/chat/completions |
Images returned as URL parts in choices[].message.content[] (type=image). $0.030/image |
wan2.7-image-pro |
Alibaba | POST /v1/chat/completions |
Higher fidelity. $0.075/image |
seedream-4-5-251128 |
ByteDance | POST /v1/images/generations |
OpenAI-compatible. Minimum 3,686,400 pixels (e.g. 1920×1920). $0.040/image |
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.
- 11d ago First seen · 302 lines · 75 tokens per session scan A beb13681b7c2
media-gen is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 75 tokens to every session and 2,954 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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