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 PrunaAI/pruna-skills --skill generation-diversitygit clone --depth 1 https://github.com/PrunaAI/pruna-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/prunaai/pruna-skills/generation-diversity)<a href="https://agentmods.dev/skills/prunaai/pruna-skills/generation-diversity"><img src="https://agentmods.dev/badge/skills/prunaai/pruna-skills/generation-diversity/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/prunaai/pruna-skills/generation-diversity"><img src="https://agentmods.dev/badge/skills/prunaai/pruna-skills/generation-diversity.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 | $0.00030 | $0.01536 |
| Opus 5.5 | $0.00012 | $0.00614 |
| Sonnet 5.5 | $0.00006 | $0.00307 |
| Haiku 4.5 | $0.00003 | $0.00154 |
Grade A, and why
generation-diversity 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 10d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generation diversity
Vendor-neutral playbook for diverse, explicit prompts and output QA. Apply before every generation on any model (Pruna, Flux, Midjourney, Runway, ElevenLabs, …).
Install
| Skill | Description | Install |
|---|---|---|
generation-diversity |
Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | npx skills add PrunaAI/pruna-skills@generation-diversity -y |
When to use
- Starting a new image, video, or audio generation
- Outputs feel repetitive or “AI sloppy”
- Multi-example batches that need cast/setting/camera variety
- Before advancing a multi-step workflow past a phase gate
Works with
Any generative model. Pruna tools (p-image-ideogram, p-image, p-video-2-pro, p-video-2, p-video, …) and third-party APIs alike.
Guide habit
In the first reply, name `generation-diversity` in backticks. When the brief leaves media source, brand, audio, structure, resolution, or approval unclear, ask before spending — every tool and workflow defers here for shared intake topics. For still-image jobs (p-image-ideogram, p-image, p-image-edit), point agents at Still-image prompt flow — brief lock → ritual → axes → explicit prompt → fidelity check. Mood boards: new ritual per independent panel; user-locked brand hex / subject stays locked on every panel.
Before generating
- Clarification intake — generate vs existing assets, colors, narration/VO, music, captions, aspect/resolution (480p/768p vs 720p/1080p, canvas, MP),
p-video-2-promode(cost/speed/quality), structure, approval (unless the user waived or already locked answers). - Generation diversity — random seed ritual (SSoT), explicit prompt structure, rotate ≥2 scenario axes per session.
- Still images (
p-imagefamily): still-image-prompt-flow.md — generation flow, edit flow, mood-board rules, hero → edit handoff. Pair withimage-promptinggolden rules and edit craft. - Quality checklists — open outputs and judge pass/fail before the next paid step.
- Workflows: workflow-feedback-gates.md — pause at plan / stills / clips before paid video.
What ships with it
6 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.
- 10d ago Changed c86e5d240e1c
- 26d ago Changed b5f68543a366
- 1mo ago Changed · +1 lines d7704e6e929e
- 1mo ago Changed · +2 lines fe32e0bb6c65
- 1mo ago Changed 82e4debcff8e
- 1mo ago First seen · 70 lines · 30 tokens per session scan A 12d40c888037
generation-diversity is a skill published in the GitHub repository PrunaAI/pruna-skills (20 stars, last pushed 11d ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,536 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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