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 agentmods add skills/librefang/librefang-registry/creatornpx skills add librefang/librefang-registry --skill creatorgit clone --depth 1 https://github.com/librefang/librefang-registryWhat 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 | $0.00026 | $0.02365 |
| Opus 5 | $0.00013 | $0.01182 |
| Sonnet 5 | $0.00005 | $0.00473 |
| Haiku 4.5 | $0.00003 | $0.00236 |
Grade A, and why
media-generation-skill 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 2d 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
100% identical to media-generation-skill — 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.
How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Generation Expert Knowledge
Tool Reference
image_generate
Generate images from text prompts via OpenAI or MiniMax.
Parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
prompt |
string | yes | — | Text description of the desired image |
provider |
string | no | auto | openai or minimax |
model |
string | no | provider default | gpt-image-1, dall-e-3, image-01 |
width |
int | no | 1024 | Image width in pixels |
height |
int | no | 1024 | Image height in pixels |
count |
int | no | 1 | Number of images (1-4) |
quality |
string | no | auto |
low, medium, high, auto |
seed |
int | no | random | Reproducibility seed |
Provider-specific notes:
- OpenAI gpt-image-1: Best for photorealistic and creative images. Supports inpainting hints in prompt. Sizes: 1024x1024, 1792x1024, 1024x1792.
- OpenAI dall-e-3: Good quality, may revise your prompt (check
revised_promptin response). Only generates 1 image per call. - MiniMax image-01: Fast generation, good for illustrations and concept art. Supports arbitrary aspect ratios.
Result: Returns images array with url fields pointing to /api/uploads/{id}.
text_to_speech
Convert text to spoken audio.
Parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
text |
string | yes | — | Text to speak (max ~4096 chars per call) |
provider |
string | no | auto | openai or minimax |
model |
string | no | provider default | tts-1, tts-1-hd, speech-2.8-hd |
voice |
string | no | alloy |
Voice selection (see table below) |
speed |
float | no | 1.0 | Playback speed (0.25 - 4.0) |
format |
string | no | mp3 |
mp3, wav, flac, opus, aac |
OpenAI voices:
| Voice | Character |
|---|---|
alloy |
Neutral, balanced |
echo |
Male, warm |
fable |
Storytelling, expressive |
nova |
Female, friendly |
onyx |
Deep male, authoritative |
shimmer |
Warm female, gentle |
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.
- 2d ago First seen · 250 lines · 26 tokens per session scan A c5bb0ed8ec79
media-generation-skill is a skill published in the GitHub repository librefang/librefang-registry (11 stars, last pushed 8d ago), licensed MIT. It adds 26 tokens to every session and 2,365 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to media-generation-skill, differing in 0 lines, and is treated as a copy.
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