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 SysAdminDoc/OpenCut --skill wedding-cinematic-reelgit clone --depth 1 https://github.com/SysAdminDoc/OpenCutWrote 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/sysadmindoc/opencut/wedding-cinematic-reel)<a href="https://agentmods.dev/skills/sysadmindoc/opencut/wedding-cinematic-reel"><img src="https://agentmods.dev/badge/skills/sysadmindoc/opencut/wedding-cinematic-reel/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/sysadmindoc/opencut/wedding-cinematic-reel"><img src="https://agentmods.dev/badge/skills/sysadmindoc/opencut/wedding-cinematic-reel.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 | $0.00032 | $0.00325 |
| Opus 5.5 | $0.00013 | $0.00130 |
| Sonnet 5.5 | $0.00006 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
wedding-cinematic-reel 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 1mo 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.
What it actually says
Wedding Cinematic Reel
Use this skill when the user asks for a wedding highlight film, reception recap, ceremony teaser, or a four-minute cinematic reel from event footage.
The skill expects three explicit inputs:
primary_sequence_path: the current event sequence or flattened select reel.reference_clip_path: the hero/reference clip whose grade should drive color matching.music_path: the licensed music bed used for beat detection.
Execution policy:
- Color-match the primary sequence to the reference clip at moderate strength so ceremony skin tones remain natural.
- Detect beat markers from the music bed with subdivisions for cut points.
- Extract highlight candidates with wedding pacing constraints and a 240-second target.
- Assemble beat-aligned highlight clips with soft transitions.
- Export a review master, leaving final delivery approval to the user.
Never invent media paths or silently choose an unlicensed song. If the user has not supplied a reference clip or music bed, ask for those inputs before execution.
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.
- 1mo ago First seen · 34 lines · 32 tokens per session scan A e55b8c405989
wedding-cinematic-reel is a skill published in the GitHub repository SysAdminDoc/OpenCut (64 stars, last pushed 29d ago), licensed MIT. It adds 32 tokens to every session and 325 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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