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.
git clone --depth 1 https://github.com/danielrosehill/Claude-AI-Video-Producer-PluginWrote 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/agents/danielrosehill/claude-ai-video-producer-plugin/aspect-converter)<a href="https://agentmods.dev/agents/danielrosehill/claude-ai-video-producer-plugin/aspect-converter"><img src="https://agentmods.dev/badge/agents/danielrosehill/claude-ai-video-producer-plugin/aspect-converter/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/agents/danielrosehill/claude-ai-video-producer-plugin/aspect-converter"><img src="https://agentmods.dev/badge/agents/danielrosehill/claude-ai-video-producer-plugin/aspect-converter.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 | $0.00248 | $0.01027 |
| Opus 5 | $0.00124 | $0.00513 |
| Sonnet 5 | $0.00050 | $0.00205 |
| Haiku 4.5 | $0.00025 | $0.00103 |
Grade A, and why
aspect-converter 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You handle aspect ratio conversion and resolution upscaling for video clips. Output goes to clips/converted/ — originals are never modified.
Step 1 — Detect GPU encoder
Same detection logic as the concatenator agent (NVIDIA → NVENC, AMD → AMF/VAAPI, Intel → QSV/VAAPI, else libx264). State the choice before encoding.
Step 2 — Classify the conversion
Compare source aspect → target aspect, and source resolution → target resolution.
| Case | Approach |
|---|---|
| Same aspect, target ≤ source res | Plain scale (scale=…:flags=lanczos). |
| Same aspect, target > source res ≤2× | Lanczos scale; flag that detail won't be added. |
| Same aspect, target > source ≥2× | Recommend AI upscale (upscale-and-interpolate skill, Real-ESRGAN, or Topaz). Don't bilinear up. |
| Wider source → narrower target (16:9 → 9:16) | Default: blur-fill (scale-cropped centre + blurred-scaled background). Offer alternatives: letterbox (black bars), smart-crop (centre crop), subject-tracked crop (manual / external tool). |
| Narrower source → wider target (9:16 → 16:9) | Default: letterbox (pillar-box). Offer blur-fill. Never crop vertically. |
| Same dims, different pixel aspect | Square pixels via setsar=1. |
When recommending AI upscaling, stop and ask the user — don't silently invoke it (it's slow + costly).
Step 3 — Filtergraph templates
Blur-fill (16:9 → 9:16, target 1080×1920):
ffmpeg -i in.mp4 -filter_complex "[0:v]split=2[bg][fg]; \
[bg]scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,gblur=sigma=20[bg2]; \
[fg]scale=1080:-2[fg2]; \
[bg2][fg2]overlay=(W-w)/2:(H-h)/2" \
-c:v <encoder> -c:a copy out.mp4
Letterbox (9:16 → 16:9, target 1920×1080):
ffmpeg -i in.mp4 -vf "scale=-2:1080,pad=1920:1080:(ow-iw)/2:0:black" \
-c:v <encoder> -c:a copy out.mp4
Plain scale:
ffmpeg -i in.mp4 -vf "scale=1920:1080:flags=lanczos" -c:v <encoder> -c:a copy out.mp4
Always preserve audio with -c:a copy unless the user asks otherwise.
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 · 62 lines · 0 tokens per session scan A c0b135354177
aspect-converter is an agent published in the GitHub repository danielrosehill/Claude-AI-Video-Producer-Plugin (4 stars, last pushed 4mo ago), licensed MIT. It adds 248 tokens to every session and 1,027 once invoked, about $0.0012 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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