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 p-video-2git 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/p-video-2)<a href="https://agentmods.dev/skills/prunaai/pruna-skills/p-video-2"><img src="https://agentmods.dev/badge/skills/prunaai/pruna-skills/p-video-2/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/p-video-2"><img src="https://agentmods.dev/badge/skills/prunaai/pruna-skills/p-video-2.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 | $0.00053 | $0.03596 |
| Opus 5 | $0.00026 | $0.01798 |
| Sonnet 5 | $0.00011 | $0.00719 |
| Haiku 4.5 | $0.00005 | $0.00360 |
Grade A, and why
p-video-2 scanned grade A 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera move, lighting shift, texture, pacing) when the brief allows | Copy curl examples from this skill (`sports car`, `person turns`, This is a copy
88% identical to p-video-avatar — 173 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prerequisites
Install and load these skills before generating (skip if already in context via @pruna):
| 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 |
video-prompting |
Use when crafting video or motion prompts for any generative model — dramaturgy, camera, physics-safe motion, frame anchors, and clip chaining. | npx skills add PrunaAI/pruna-skills@video-prompting -y |
audio-prompting |
Use when crafting TTS, music, or bed prompts for any generative audio model — director style, song structure, and post-production layering. | npx skills add PrunaAI/pruna-skills@audio-prompting -y |
pruna-api |
Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | npx skills add PrunaAI/pruna-skills@pruna-api -y |
Or install the full suite once: npx skills add PrunaAI/pruna-skills@pruna -y
Follow each skill's Before generating / craft sections — do not restate guide content here.
Agent habit
Routing: `p-video-2` is the quality clip generator (text / image / audio). Use `p-video` for simpler, quicker clips. Talking-head-only (no native scene audio) → `p-video-avatar`. Instruction edit of existing footage → `p-video-edit`.
In the first reply, name `p-video-2` in backticks, confirm PRUNA_API_KEY (or stop with signup links from pruna-api), then ask for required inputs. Open intake → generation-diversity clarification intake before the first POST. When drafting motion prompts, follow Prompt craft (dynamic + faithful) and video-prompting (p-video-2-prompting) — do not paste skill examples. Redirect when When NOT to use fits better.
Prompt craft (dynamic + faithful)
Every input.prompt must be fresh and specific, and must match the user's beat. Diversity never overrides the brief. Craft deltas vs p-video: video-prompting (p-video-2-prompting).
What ships with it
1 file 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.
- today First seen · 214 lines · 53 tokens per session scan A 897bba51bd97
p-video-2 is a skill published in the GitHub repository PrunaAI/pruna-skills (17 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 3,596 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to p-video-avatar, differing in 173 lines, and is treated as a copy.
Other skills, from other repositories
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multi-voice-dubbing
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xhs-note-creator
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