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 MRWillisT/PullNexus --skill image-to-cinematic-videogit clone --depth 1 https://github.com/MRWillisT/PullNexusWrote 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/mrwillist/pullnexus/image-to-cinematic-video)<a href="https://agentmods.dev/skills/mrwillist/pullnexus/image-to-cinematic-video"><img src="https://agentmods.dev/badge/skills/mrwillist/pullnexus/image-to-cinematic-video/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/mrwillist/pullnexus/image-to-cinematic-video"><img src="https://agentmods.dev/badge/skills/mrwillist/pullnexus/image-to-cinematic-video.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 | $0.00297 | $0.04008 |
| Opus 5 | $0.00148 | $0.02004 |
| Sonnet 5 | $0.00059 | $0.00802 |
| Haiku 4.5 | $0.00030 | $0.00401 |
Grade A, and why
image-to-cinematic-video 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 9d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
9 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.
- examples.jsonl 4.3 KB
- README.md 1.3 KB
- references/seedance-prompt-library.md 7.2 KB
- scripts/copy_seedance_output.js 2.4 KB runs code
- scripts/extract_and_upload_last_frame.js 2.9 KB runs code
- scripts/save_generated_image.js 11 KB runs code
- scripts/stitch_xfade.js 3.8 KB runs code
- scripts/upload_uguu.js 4.9 KB runs code
- skill.json 434 B
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.
- 9d ago First seen · 362 lines · 297 tokens per session scan A d11bdf0f98be
image-to-cinematic-video is a skill published in the GitHub repository MRWillisT/PullNexus (7 stars, last pushed 4mo ago), with no licence file. It adds 297 tokens to every session and 4,008 once invoked, about $0.0015 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.
Other skills, from other repositories
ocr
A decision guide for choosing between OCR, which reads text from an image, and visual description, which explains what a scene or object shows. It also covers cases where both kinds of understanding are needed.
design_creator
Structured workflow for creating professional designs — slide decks, documents, landing pages, app mockups, and motion storyboards.
video_guide
Guidance for generating videos and animating images.
vision_guide
Guidance for using webcam, screen capture, and image analysis.
rich-post
Send a Telegram rich-media post to ANOTHER allowlisted chat via the bot (Bot API 10.1 sendRichMessage) - text, inline images, tables, headings, lists, quotes, collapsible blocks, formulas, collages/slideshows ALL in one message bubble. Use when the owner asks to post somewhere other than the current conversation (the…
tiktok-video
A workflow for making vertical short videos for TikTok or Douyin from a written request. It creates a storyboard, voiceover, word-timed karaoke captions, background music, and a 1080×1920 MP4 video.