Generative-Media-Skills is a toolkit that lets AI agents generate, edit, and display images, videos, and audio through the muapi command-line interface. It is for users of Claude Code, Cursor, Gemini CLI, and OpenCode who need multimodal media-generation workflows. The catalogue entries are the skills that expose these media capabilities to coding agents.
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 SamurAIGPT/Generative-Media-Skills --skill social-packgit clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-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/samuraigpt/generative-media-skills/social-pack)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/social-pack"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/social-pack/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/samuraigpt/generative-media-skills/social-pack"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/social-pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 57 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 57 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 | $0.00026 | $0.00647 |
| Opus 5 | $0.00013 | $0.00324 |
| Sonnet 5 | $0.00005 | $0.00129 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade B, and why
muapi-social-pack scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Pack
Re-render a hero image into Instagram, TikTok, YouTube-shorts and Twitter/X aspect ratios.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
source_image |
image_url | yes | — | URL of the hero image (or asset_id from this session). |
caption_idea |
text | no | — | Optional caption / overlay direction (kept short). |
formats |
list | no | 1:1, 9:16, 4:5, 16:9 | Aspect ratios to produce. |
Steps
Use the plan to fan out one node per format.
- For each requested aspect ratio in
{{formats}}:- Call
muapi image edit(model=nano-banana-2-edit) with the source image. - Prompt: "Reframe the composition to {{aspect_ratio}} for social media. Keep the subject centred and uncropped. Match the original lighting and palette. {{caption_idea_hint}}".
- Where
{{caption_idea_hint}}= "Leave headroom at the top for a caption: '<caption_idea>'." (only if caption_idea is non-empty).
- Call
- All formats run in parallel (no inter-node dependencies).
- Return one asset id per format, labelled with the platform it suits:
- 1:1 → Instagram feed
- 9:16 → TikTok / IG Reels / YT Shorts
- 4:5 → Instagram portrait
- 16:9 → Twitter / X / YouTube
- 21:9 → cinematic banner
Notes
- Don't generate fresh images — only reframe / re-edit the source.
- If the source already matches a format, skip that node and surface the original asset id for it.
Trigger Keywords
social pack, resize for social, cross-post, multi-platform
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis unset. - For model IDs without a CLI alias yet, fall back to the raw endpoint via
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
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.
- 12d ago First seen · 59 lines · 26 tokens per session scan B 5c558d38ab57
muapi-social-pack is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (4,259 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 647 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, 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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gemini-watermark-remover
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remotion-upgrade
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infographic-creator
Create beautiful infographics based on given text content. Use when users request to create infographics.