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 PicsArt/gen-ai-skills --skill agency-multi-brand-packgit clone --depth 1 https://github.com/PicsArt/gen-ai-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/picsart/gen-ai-skills/agency-multi-brand-pack)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/agency-multi-brand-pack"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/agency-multi-brand-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/picsart/gen-ai-skills/agency-multi-brand-pack"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/agency-multi-brand-pack.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 | $0.00014 | $0.02351 |
| Opus 5 | $0.00007 | $0.01175 |
| Sonnet 5 | $0.00003 | $0.00470 |
| Haiku 4.5 | $0.00001 | $0.00235 |
Grade A, and why
agency-multi-brand-pack 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agency multi-brand pack
Run generations for N retainer clients in one coordinated pass — each client's output strictly namespaced, each job gated by that client's brand rules, every run audit-ready for legal and billing.
N clients × M templates per client → one batch, zero cross-contamination. For agencies running weekly/monthly creative cycles across a client portfolio.
When to Use
- Weekly/monthly retainer refresh across multiple retainer clients
- Portfolio-wide seasonal re-skin (e.g. holiday refresh for all 8 retainer brands in one batch)
- Multi-client pitch week where each pitch needs its own branded mockup set
- Audit-ready production runs where finance/legal need a per-client spend breakdown
- Any agency workflow where "run the same pipeline for every client, with their rules" is the task
Do not use for single-client deep-production work — drop to agency-pitch-mockups or a client-specific workflow. Multi-brand is for portfolio parallelism.
Prerequisites
Ask the user (one message):
- Client list — slugs of clients in scope (e.g.
acme-fintech,zest-retail,nova-travel). Each must have a lockedbrand-system.json. - Template set per client — same across all clients (hero + 3 social + OG) or does each client have a different deliverable?
- This week's theme / brief — one brief that gets re-expressed per client (e.g. "Q2 product refresh") or fully independent briefs per client?
- Output destination — Drive folder per client? Dropbox / S3? Internal repo path?
- Billing scope — tag each job with
client:<slug>so per-client spend can be pulled fromgen-ai history - Concurrency ceiling — default 4, raise to 8 if clients all have premium rate limits
If any client in the list lacks brand-system.json or brand.md, stop and run agency-brand-scoping for that client first — do not batch-generate without locked brand files.
How to Run
1. VERIFY BRANDS → every client in scope has clients/<slug>/brand.md + brand-system.json
2. SCAFFOLD → build per-client manifest fragments, merge into one master manifest
3. ESTIMATE → gen-ai batch run <manifest.json> --dry-run + estimate; break into smaller batches if > $20
4. RUN → `gen-ai batch run <manifest.json>` with client names in job IDs and a resume-ready output dir
5. VERIFY → per-client output folders populated; cross-check any NULLs in results.json
6. AUDIT → export per-client spend + asset list for billing
7. DELIVER → folder per client, approved files uploaded or linked in the retainer channel
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 · 180 lines · 14 tokens per session scan A a30dce4f6db2
agency-multi-brand-pack is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 15d ago), licensed MIT. It adds 14 tokens to every session and 2,351 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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