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 GlamgarOnDiscord/claude-saas-blueprint --skill assets-pipelinegit clone --depth 1 https://github.com/GlamgarOnDiscord/claude-saas-blueprintWrote 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/glamgarondiscord/claude-saas-blueprint/assets-pipeline)<a href="https://agentmods.dev/skills/glamgarondiscord/claude-saas-blueprint/assets-pipeline"><img src="https://agentmods.dev/badge/skills/glamgarondiscord/claude-saas-blueprint/assets-pipeline/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/glamgarondiscord/claude-saas-blueprint/assets-pipeline"><img src="https://agentmods.dev/badge/skills/glamgarondiscord/claude-saas-blueprint/assets-pipeline.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 | $0.00056 | $0.01146 |
| Opus 5 | $0.00028 | $0.00573 |
| Sonnet 5 | $0.00011 | $0.00229 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade B, and why
assets-pipeline scanned grade B 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 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.
const res = await fetch('https://api.quiver.ai/v1/svg', { method: 'POST', How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quand utiliser ce skill
- Ajouter une génération d'image, SVG, vidéo ou audio dans le produit
- Setup scroll 3D / WebGL sur landing ou app
- Aligner landing, marketing et UI sur une même charte visuelle
- Avant d'ajouter des variables d'environnement liées aux APIs d'assets
Règle absolue (voir rules/media-apis.md)
- Appels API assets = server-side uniquement (route API, worker, cron)
- Jamais
NEXT_PUBLIC_*pourQUIVERAI_*,GOOGLE_API_KEY,ELEVENLABS_* - Sortie → stockage objet (Supabase Storage / S3) + URL signée ou CDN
- Lier chaque asset généré à
organizationId/userIden DB (multi-tenant)
Images IA — Gemini
// app/api/generate-image/route.ts (server-side uniquement)
import { GoogleGenerativeAI } from '@google/generative-ai'
const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY!)
export async function POST(req: Request) {
const { prompt } = await req.json()
const model = genAI.getGenerativeModel({ model: 'gemini-2.0-flash-exp-image-generation' })
const result = await model.generateContent(prompt)
const imageData = result.response.candidates?.[0]?.content.parts
.find(p => p.inlineData)?.inlineData
// Uploader vers Supabase Storage
const { data } = await supabase.storage
.from('assets')
.upload(`generated/${Date.now()}.png`, Buffer.from(imageData!.data, 'base64'), {
contentType: 'image/png',
})
return NextResponse.json({ url: data?.path })
}
Docs : https://ai.google.dev/gemini-api/docs/image-generation
SVG — Quiver AI
// app/api/generate-svg/route.ts
const res = await fetch('https://api.quiver.ai/v1/svg', {
method: 'POST',
headers: { Authorization: `Bearer ${process.env.QUIVERAI_API_KEY}` },
body: JSON.stringify({ prompt, style: 'minimal', format: 'svg' }),
})
const { svg } = await res.json()
// Stocker en DB ou Supabase Storage
Docs : https://docs.quiver.ai/api-reference/introduction
Vidéo — Remotion
pnpm create video@latest
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 · 137 lines · 56 tokens per session scan B c35d7d028e4c
assets-pipeline is a skill published in the GitHub repository GlamgarOnDiscord/claude-saas-blueprint (2 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 1,146 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (sends data to an external url). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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