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 calesthio/generative-media-skills --skill immersive-spatial-video-productiongit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/immersive-spatial-video-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/immersive-spatial-video-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/immersive-spatial-video-production/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/calesthio/generative-media-skills/immersive-spatial-video-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/immersive-spatial-video-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 391 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00139 | $0.06856 |
| Opus 5 | $0.00069 | $0.03428 |
| Sonnet 5 | $0.00028 | $0.01371 |
| Haiku 4.5 | $0.00014 | $0.00686 |
Grade A, and why
immersive-spatial-video-production 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 13d 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 — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Immersive Spatial Video Production
This skill is for passive video deliverables that surround or partially surround the viewer: monoscopic 360, stereoscopic 360, VR180, spatial video, dome/wide-FOV video, and headset-first immersive films. It helps an agent make production decisions, write capture and finishing plans, review outputs, and troubleshoot delivery failures without depending on one camera vendor, headset, or generator.
Do not activate this skill for interactive XR applications, OpenXR/WebXR app design, volumetric scene generation, Gaussian-splat/world-model navigation, realtime game-engine builds, or ordinary flat 16:9/9:16 edits unless the requested output explicitly needs spherical, stereo, spatial, wide-FOV, or headset delivery.
Evidence Map
Documented facts below use these sources, verified 2026-07-11 unless a source date is named inline:
- Apple Human Interface Guidelines, "Immersive experiences," https://developer.apple.com/design/human-interface-guidelines/immersive-experiences. Access path: Apple Developer > Design > Human Interface Guidelines > Immersive experiences. Supports the visionOS passthrough, immersion-style, 1.5-meter boundary, movement, permission, attention-cue, and transition-comfort claims in this skill.
- Apple Human Interface Guidelines, "Playing video," https://developer.apple.com/design/human-interface-guidelines/playing-video. Access path: Apple Developer > Design > Human Interface Guidelines > Playing video. Supports the system video player, original aspect ratio, subtitles/transport controls, visionOS comfort, automatic full-immersion warning, thumbnail-track, and RealityKit closed-caption claims in this skill.
- Apple Developer Documentation, "Reading stereoscopic 3D video files," https://developer.apple.com/documentation/avfoundation/media_reading_and_writing/reading_stereoscopic_3d_video_files. Access path: Apple Developer > Documentation > AVFoundation > Media reading and writing > Reading stereoscopic 3D video files. Used only for the narrow claim that Apple documents AVFoundation workflows for reading stereoscopic video files.
- Apple Developer Documentation, "Writing spatial video," https://developer.apple.com/documentation/avfoundation/media_reading_and_writing/writing_spatial_video. Access path: Apple Developer > Documentation > AVFoundation > Media reading and writing > Writing spatial video. Used only for the narrow claim that Apple documents AVFoundation workflows for writing spatial video.
- YouTube Help: Upload 180- or 360-degree videos; Use spatial audio in 360-degree and VR videos.
- Google Spatial Media Spherical Video V2 RFC and Spatial Audio RFC, plus Spatial Media Metadata Injector v2.1 release notes.
- Khronos OpenXR and W3C WebXR specifications for boundary definition only: they describe interactive XR runtimes, not passive video production deliverables.
- Professional production heuristics are labeled as heuristics, because comfort thresholds vary by headset optics, viewer sensitivity, screen scale, and playback app.
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.
- 13d ago First seen · 491 lines · 139 tokens per session scan A f98bdc8e664d
immersive-spatial-video-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 139 tokens to every session and 6,856 once invoked, about $0.0007 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 2026-08-30.
Other skills, from other repositories
cliptalk-cover-director
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video. Use when the user asks for a cover, poster frame, thumbnail, or multiple cover directions; do not use for timeline editing or social-video reframing.
cliptalk-smart-reframe
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut. Use for automatic vertical, square, or portrait reframing; do not use for a fixed manual crop or before content editing is accepted.
cliptalk-content-extractor
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
cliptalk-interview-editor
Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview. Use for interviews, podcasts, testimonials, or question-and-answer recordings.
cliptalk-shortform-hook-director
Finds and assembles a reviewable short-form cut with a strong opening hook. Use for Shorts, Reels, social clips, talking-head cutdowns, or requests for a punchier opening.
cliptalk-social-reframe-exporter
Creates a review-only 9:16, 4:5, 1:1, or 16:9 version from an existing accepted ClipTalk cut, then checks the rendered preview. Use only when a cut already exists and the user asks to adapt it for Shorts, Reels, Douyin, Xiaohongshu, WeChat Channels, or square feeds; do not use when the user still needs content found…