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 danielrosehill/Claude-Image-Production-Plugin --skill upscale-imagegit clone --depth 1 https://github.com/danielrosehill/Claude-Image-Production-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/skills/danielrosehill/claude-image-production-plugin/upscale-image)<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/upscale-image"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/upscale-image.svg" alt="Measured on agentmods" 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 | $0.00098 | $0.01505 |
| Opus 5 | $0.00049 | $0.00753 |
| Sonnet 5 | $0.00020 | $0.00301 |
| Haiku 4.5 | $0.00010 | $0.00151 |
Grade A, and why
upscale-image 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 8d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upscale Image (Upscayl)
AI upscaling via upscayl-bin — the CLI shipped with the Upscayl GUI. Same Vulkan-accelerated realesrgan-ncnn-vulkan engine as standalone, but with Upscayl's curated model selection bundled.
When to use
- Low-res source needs to be enlarged for print or display.
- AI-generated image at 1024px wants 4096px output without re-prompting.
- Old photos / screenshots need detail recovery.
Do not use this skill when:
- The source is already large enough — upscaling rarely improves a 4K-native image.
- The user wants traditional bicubic / lanczos upscaling —
fast-resizeis the right tool (much faster, no AI). - The image is text/document-heavy — upscalers can hallucinate glyph detail; consider
tesseractre-OCR + re-typeset instead.
Inputs
- Input — file or directory. Required.
- Scale —
2,3, or4(Upscayl's bundled models are 4× natively; 2× and 3× are produced by post-resize). Default4. - Model — one of:
upscayl-standard-4x(default — best general-purpose photo upscaler).upscayl-lite-4x(faster, lower quality, good for batches).realesrgan-x4plus(classic, slightly different texture handling).realesrgan-x4plus-anime(illustrations, line art, anime).remacri-4x/ultramix-balanced-4x(alternative photo models if installed).- Or
--model-path <dir> --model-name <name>to point at a custom model.
- Output dir — default:
<input-dir>/upscaled/. Skill never overwrites originals. - Output format — default
png(lossless preserves the upscale fidelity).jpgoption for size-sensitive batches (uses quality 92). - Recursive —
--recursivefor directory descent. - GPU — default auto-detect.
--gpu <n>to pick a specific GPU.--cputo force CPU (slow — only for headless boxes).
Procedure
- Locate the binary. Check in order:
which upscayl-bin/opt/Upscayl/resources/bin/upscayl-bin~/.var/app/org.upscayl.Upscayl/data/bin/upscayl-bin(Flatpak)which realesrgan-ncnn-vulkan(fallback — same syntax, smaller model selection)
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.
- 8d ago First seen · 108 lines · 98 tokens per session scan A 7e3eba9a131a
upscale-image is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (16 stars, last pushed 21d ago), licensed MIT. It adds 98 tokens to every session and 1,505 once invoked, about $0.0005 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.
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