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 install-depsgit 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/install-deps)<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/install-deps"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/install-deps/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/danielrosehill/claude-image-production-plugin/install-deps"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/install-deps.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 | $0.00060 | $0.01670 |
| Opus 5.5 | $0.00024 | $0.00668 |
| Sonnet 5.5 | $0.00012 | $0.00334 |
| Haiku 4.5 | $0.00006 | $0.00167 |
Grade D, and why
install-deps scanned grade D with 3 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 2mo 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
allowed-tools: Bash(which *), Bash(command *), Bash(apt *), Bash(apt-get *), Bash(sudo *), Bash(uv *), Bash(curl *), Bash(python3 *), Bash(magick *), Bash(convert *), Bash(identify *), Bash(exiftool *), Bash(vips *), Bas Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -LsSf https://astral.sh/uv/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(which *), Bash(command *), Bash(apt *), Bash(apt-get *), Bash(sudo *), Bash(uv *), Bash(curl *), Bash(python3 *), Bash(magick *), Bash(convert *), Bash(identify *), Bash(exiftool *), Bash(vips *), Bas How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Install Dependencies
Two surfaces:
- System binaries — required:
ImageMagick,exiftool. Optional:libvips-tools,libheif-examples,oxipng,pngquant,jpegoptim,mozjpeg,libavif-bin,libjxl-tools,realesrgan-ncnn-vulkan,darktable-cli. - Python tools —
imagehash,Pillow(perceptual dedupe). Installed into a plugin-owned uv venv at<data-dir>/venv/.
The plugin invokes Python via <data-dir>/venv/bin/python, so the user's system Python stays untouched and PEP 668 / externally-managed-environment errors never occur.
Resolve paths
PLUGIN_DATA_DIR="${CLAUDE_USER_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/claude-plugins}/image-production"
VENV_DIR="$PLUGIN_DATA_DIR/venv"
Procedure
1. Detect host
uname -s
which apt-get apt brew dnf pacman 2>/dev/null
which uv 2>/dev/null
Record what's available; this drives which install commands you propose.
2. Ensure uv is available
uv is the only hard prerequisite for the Python side. If missing, propose:
curl -LsSf https://astral.sh/uv/install.sh | sh
Ask before running. Fall back to system pip with --break-system-packages only if the user declines — prefer uv.
3. Walk the system-binary matrix
| Tool | Detect | Required? | Install (apt) | Install (brew) |
|---|---|---|---|---|
magick / convert / identify |
which magick || which convert |
required | sudo apt install imagemagick |
brew install imagemagick |
exiftool |
which exiftool |
required | sudo apt install libimage-exiftool-perl |
brew install exiftool |
fdupes |
which fdupes |
optional | sudo apt install fdupes |
brew install fdupes |
vips / vipsthumbnail |
which vips |
optional (recommended >500 images) | sudo apt install libvips-tools |
brew install vips |
heif-convert |
which heif-convert |
optional | sudo apt install libheif-examples |
brew install libheif |
oxipng |
which oxipng |
optional | sudo apt install oxipng |
brew install oxipng |
pngquant |
which pngquant |
optional | sudo apt install pngquant |
brew install pngquant |
jpegoptim |
which jpegoptim |
optional | sudo apt install jpegoptim |
brew install jpegoptim |
mozjpeg (cjpeg-mozjpeg) |
which cjpeg-mozjpeg |
optional | cargo install mozjpeg-cli (or binary) |
brew install mozjpeg |
avifenc |
which avifenc |
optional | sudo apt install libavif-bin |
brew install libavif |
cjxl / djxl |
which cjxl |
optional | sudo apt install libjxl-tools |
brew install jpeg-xl |
upscayl-bin |
which upscayl-bin || ls /opt/Upscayl/resources/bin/upscayl-bin 2>/dev/null |
optional | install Upscayl from https://upscayl.org (deb / flatpak / appimage) | install Upscayl from https://upscayl.org |
realesrgan-ncnn-vulkan (fallback) |
which realesrgan-ncnn-vulkan |
optional | binary release from upstream | binary release from upstream |
darktable-cli |
which darktable-cli |
optional | sudo apt install darktable (GUI + CLI) |
brew install darktable |
img2pdf |
which img2pdf |
optional | uv tool install img2pdf (or sudo apt install python3-img2pdf) |
pipx install img2pdf |
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.
- 2mo ago First seen · 114 lines · 60 tokens per session scan D 2f542271677c
install-deps is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (21 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,670 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
install-deps compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| install-depsdanielrosehill/Claude-Image-Production-Plugin | Skill | 21 | yesterday | MIT | D | 60 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |