Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/PicsArt/gen-ai-skillsnpx agentmods add skills/picsart/gen-ai-skills/enterprise-press-batchWrote 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/enterprise-press-batch)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/enterprise-press-batch"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/enterprise-press-batch/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/enterprise-press-batch"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/enterprise-press-batch.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 | $0.00018 | $0.02258 |
| Opus 5 | $0.00009 | $0.01129 |
| Sonnet 5 | $0.00004 | $0.00452 |
| Haiku 4.5 | $0.00002 | $0.00226 |
Grade A, and why
enterprise-press-batch 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 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.
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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enterprise Press Batch
Produce full press-release asset bundles — hero, executive headshots, product shots, event-ready horizontal and vertical crops — with embargo controls, wire-service naming conventions, EXIF rights metadata, and multi-resolution exports. Built for comms / PR teams shipping to Reuters, AP, Getty, and corporate newsrooms under embargo.
When to Use
- Product launch, earnings announcement, exec change, crisis response — assets needed across wire + web + print + social in parallel
- Embargoed announcement requiring strict asset handling until lift
- Multi-publication distribution where each wire has different resolution + EXIF requirements
- Executive headshot refresh across a leadership team (consistent lighting, backgrounds, crops)
- Event kits: pre-event (concept), during-event (placeholder + real), post-event (recap)
Do not use for: social-only launches (use gen-ai-workflows launch-kit), single-asset news posts.
Prerequisites
Before the batch runs:
- Release type + embargo — announcement date/time, embargo lift, distribution list. Embargoed runs must write to a locked Drive folder.
- Asset scope — which of: 1 hero, N exec headshots, M product shots, event horizontal, event vertical, social derivatives. Count per type.
- Distribution targets — wire service specs (AP: 3000px long edge JPEG, Getty: TIFF, Reuters: sRGB embedded). Determines resolution + format per pack.
- Rights metadata — credit line, copyright owner, usage rights, caption, contact. Written to EXIF/IPTC.
- Approval chain — legal, comms lead, exec approval for headshots? Who signs off before embargo pack ships?
- Audit trail — does the archive need the original brief + manifest + results for seven years (SOX-adjacent)?
How to Run
Six steps. Embargo handling is non-negotiable.
- Scope the bundle — write the deliverable matrix: asset × pack (wire / web / print / social) × resolution. Costs scale by cells, not by source images.
- Generate / ingest sources — AI-generated heroes via
gen-ai generate; real executive photography ingested viagen-ai upload. Enhance withtopaz-upscale-imageif source resolution is below print spec. - Embargo lock — create a restricted archive location. Everything until lift lands here. Never ship intermediate drafts.
- Batch exports — one manifest per pack (wire / web / print / social), each with the correct resolution, format, and color profile. Watermark drafts; never watermark final approved wire assets.
- Stamp EXIF / IPTC — rights, credit, caption, embargo notice injected on every file. Use
exiftoolas a post-batch step. - Deliver — at embargo lift, promote from the locked folder to the public press-kit URL. Archive the manifest + results.json + checksum manifest for the audit trail.
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 · 190 lines · 18 tokens per session scan A 3386ae1dc71d
enterprise-press-batch is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 14d ago), licensed MIT. It adds 18 tokens to every session and 2,258 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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