Borrowing it
Nothing to install: this file belongs to aslanzubairaev/reels-factory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aslanzubairaev/reels-factory/master/.claude/skills/resize-asset/SKILL.mdgit clone --depth 1 https://github.com/aslanzubairaev/reels-factoryWrote 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/aslanzubairaev/reels-factory/resize-asset)<a href="https://agentmods.dev/skills/aslanzubairaev/reels-factory/resize-asset"><img src="https://agentmods.dev/badge/skills/aslanzubairaev/reels-factory/resize-asset/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/aslanzubairaev/reels-factory/resize-asset"><img src="https://agentmods.dev/badge/skills/aslanzubairaev/reels-factory/resize-asset.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 | $0.00030 | $0.00196 |
| Opus 5 | $0.00015 | $0.00098 |
| Sonnet 5 | $0.00006 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
resize-asset 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 12d 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
Resize Asset Skill
Resizes/crops assets to exactly 1080×1920 (9:16 vertical portrait).
Usage
# Image
python .claude/skills/resize-asset/resize.py --input "path/to/image.jpg"
# Video (with target duration)
python .claude/skills/resize-asset/resize.py --input "path/to/video.mp4" --duration 10
Notes
- Images: center-crop to fill 1080×1920, high quality (LANCZOS)
- Videos: resize + crop to 1080×1920, loop if shorter than duration, trim if longer
- Requires: Pillow (images), FFmpeg (videos)
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.
- 12d ago First seen · 24 lines · 30 tokens per session scan A a16e2b76ebaa
resize-asset is a skill published in the GitHub repository aslanzubairaev/reels-factory (2 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 196 once invoked, about $0.0002 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.
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