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 palmier-io/palmier-skills --skill video-promptinggit clone --depth 1 https://github.com/palmier-io/palmier-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/palmier-io/palmier-skills/video-prompting)<a href="https://agentmods.dev/skills/palmier-io/palmier-skills/video-prompting"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/video-prompting/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/palmier-io/palmier-skills/video-prompting"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/video-prompting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00119 | $0.02546 |
| Opus 5.5 | $0.00048 | $0.01018 |
| Sonnet 5.5 | $0.00024 | $0.00509 |
| Haiku 4.5 | $0.00012 | $0.00255 |
Grade A, and why
video-prompting 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 2mo 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Prompting
Write a production brief, not a vibe paragraph. Models fail when every asset competes for identity, motion, camera, and style.
Core rule
Assign authority before action. Every reference gets one job and an explicit boundary on what it must not control. Then: lock continuity → place screen geography → time the shot → light/sound → short negatives.
When to use which skill
| Need | Skill |
|---|---|
| Multimodal / cinematic / edit prompts | this skill |
| Face consistency across stills → video | character-pipeline |
| Documentary handheld / density maps | cinematic-motion |
| Overheard two-person podcast ad | podcast-ad |
| UGC talking-head / product selfie | ugc-photo-prompts → ugc-video-prompts |
| Assemble / caption finished clips | ugc-editing |
| Kinetic titles / flat glass UI / H3 product journey promos | motion-graphics |
Session gates
get_timeline— ifcanGenerateis false, ask user to sign in / subscribe.list_modelsforimage/video/audio— ids and caps drift.- Propose prompt + model + duration + aspect (+ refs). Wait for confirmation — paid, not undoable.
- Fire
generate_*; do not busy-poll. Ready whenget_media({ ids })has nogenerationStatus. Onfailed, report and ask before retry. - Organize with
folder(e.g.Hero/Sheets,Hero/Takes).
Reference wiring
| Tool argument | Prompt tags | Typical job |
|---|---|---|
startFrameMediaRef / endFrameMediaRef |
implied first/last frame | Image-to-video anchors |
referenceImageMediaRefs |
@Image1… (some Kling: @Element1) |
Identity, wardrobe, product, scene |
referenceVideoMediaRefs |
@Video1… |
Motion timing, camera rhythm |
referenceAudioMediaRefs |
@Audio1… |
Voice, lip-sync audio, music timing |
generate_image → referenceMediaRefs |
model-specific | Still identity lock |
Declare authority when multiple refs are passed:
@Image1 defines identity and wardrobe only. Ignore its background.
@Video1 defines motion timing and camera only. Do not inherit its people or location.
@Audio1 defines <Character>'s voice timbre and delivery only.
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.
- 2mo ago First seen · 195 lines · 0 tokens per session scan A eaf75f8c49a2
video-prompting is a skill published in the GitHub repository palmier-io/palmier-skills (83 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 119 tokens to every session and 2,546 once invoked, about $0.0005 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 2026-09-03.
video-prompting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-promptingpalmier-io/palmier-skills | Skill | 83 | 2mo ago | Apache-2.0 | A | 119 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |