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 avibebuilder/claude-prime --skill media-processorgit clone --depth 1 https://github.com/avibebuilder/claude-primeWrote 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/avibebuilder/claude-prime/media-processor)<a href="https://agentmods.dev/skills/avibebuilder/claude-prime/media-processor"><img src="https://agentmods.dev/badge/skills/avibebuilder/claude-prime/media-processor/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/avibebuilder/claude-prime/media-processor"><img src="https://agentmods.dev/badge/skills/avibebuilder/claude-prime/media-processor.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 | $0.00134 | $0.01010 |
| Opus 5.5 | $0.00054 | $0.00404 |
| Sonnet 5.5 | $0.00027 | $0.00202 |
| Haiku 4.5 | $0.00013 | $0.00101 |
Grade B, and why
media-processor scanned grade B with 1 finding 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
Requires `GEMINI_API_KEY` in environment or `.env` in this skill's directory. Run any script with `--help` for setup details and available parameters. How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Processor
Specialized tools for extracting precise visual details (exact colors, spacing, hierarchy), processing audio/video, and generating images.
Tools
All scripts live in scripts/ relative to this skill's directory. They auto-select the best model per task and handle retries, large file uploads, and error reporting.
| Script | Purpose |
|---|---|
gemini_batch_process.py |
Analyze images, transcribe audio/video, extract data from PDFs |
image_gen.py |
Generate and edit images (paid plan required) |
document_converter.py |
Convert PDF, DOCX, XLSX, PPTX to Markdown; extract page ranges and images |
Requires GEMINI_API_KEY in environment or .env in this skill's directory. Run any script with --help for setup details and available parameters.
Quick start — image analysis:
python <skill-dir>/scripts/gemini_batch_process.py \
--files <image-path> \
--task analyze \
--prompt "<tailored prompt>" \
--output <output-path>.md
Prompt Quality Matters
The prompt sent to the processing model is the single biggest factor in output quality. Tailor prompts to what the task actually needs — generic prompts produce generic results.
What makes a good analysis prompt:
- Ask for the specific details the task requires (hex colors, spacing in px, component hierarchy) rather than "describe this image"
- Structure the ask as a numbered list — the model mirrors the structure back, making output easy to parse
- Name the desired output format ("as a markdown table", "as JSON", "as a component tree")
- Include implementation context when relevant ("for React with Tailwind") so the model emphasizes useful details
Example prompt patterns:
UI implementation: "Extract component hierarchy, layout type, exact hex colors, typography (sizes/weights), spacing in px, interactive states, icons and decorative elements"
Chart data: "Extract chart type, axes with units, every data point with exact values, legend entries with colors. Output as a markdown table"
What ships with it
8 files 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 · 75 lines · 134 tokens per session scan B 50d424ba79ab
media-processor is a skill published in the GitHub repository avibebuilder/claude-prime (120 stars, last pushed 5mo ago), licensed MIT. It adds 134 tokens to every session and 1,010 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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