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 azmym/gemini-plugin --skill gemini-file-analysisgit clone --depth 1 https://github.com/azmym/gemini-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/azmym/gemini-plugin/gemini-file-analysis)<a href="https://agentmods.dev/skills/azmym/gemini-plugin/gemini-file-analysis"><img src="https://agentmods.dev/badge/skills/azmym/gemini-plugin/gemini-file-analysis.svg" alt="Measured on agentmods" 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 | $0.00049 | $0.00891 |
| Opus 5 | $0.00024 | $0.00445 |
| Sonnet 5 | $0.00010 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
gemini-file-analysis 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 6d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini File Analysis
Use this skill to send files to Gemini for multi-modal analysis. Gemini can read PDFs, interpret images, transcribe audio, understand video frames, and reason over large source files that exceed Claude's context window.
When to use this skill
- PDF documents: Research papers, contracts, architecture decision records, runbooks, changelogs.
- Images: Screenshots with error messages, diagrams, UI mockups, charts, or photos requiring visual interpretation.
- Audio files: Meeting recordings, user interviews, voiceovers that need transcription or content extraction.
- Video files: Screen recordings, demo clips, or short videos requiring frame-level understanding.
- Large source files: A codebase archive, minified bundle, or log file that is too large to fit in Claude's context.
- Binary formats: Any file format Claude cannot read as plain text.
MCP tools
| Tool | Purpose |
|---|---|
gemini_analyze_file |
Upload a file and run a prompt against its contents |
Usage pattern
Analyze a PDF
{
"tool": "gemini_analyze_file",
"arguments": {
"file_path": "/path/to/architecture-decision-record.pdf",
"prompt": "Summarize the key architectural decisions and list any open questions."
}
}
Interpret a screenshot
{
"tool": "gemini_analyze_file",
"arguments": {
"file_path": "/path/to/error-screenshot.png",
"prompt": "What error is shown and what are the most likely root causes?"
}
}
Transcribe an audio recording
{
"tool": "gemini_analyze_file",
"arguments": {
"file_path": "/path/to/meeting-recording.mp3",
"prompt": "Transcribe the key action items and decisions from this meeting."
}
}
Analyze a large source file
{
"tool": "gemini_analyze_file",
"arguments": {
"file_path": "/path/to/large-codebase.tar.gz",
"prompt": "Identify the main modules, entry points, and any obvious code quality issues."
}
}
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.
- 6d ago First seen · 95 lines · 49 tokens per session scan A b48d10b3c0a0
gemini-file-analysis is a skill published in the GitHub repository azmym/gemini-plugin (1 stars, last pushed 23d ago), licensed MIT. It adds 49 tokens to every session and 891 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.
Other skills, from other repositories
pdf-cascade
Acquire PDFs for bibliographic references via a strict 8-source cascade (Crossref OA → arXiv → OpenAlex → Unpaywall → HAL → CORE → archive.org → WebSearch queue; optionally Sci-Hub + Anna's Archive, plus Anna's via a windowed browser, in opt-in mode). Each acquired PDF is validated against expected author/title/year…
markitdown
A Python utility for converting various file formats (PDF, Word, Excel, PowerPoint, etc.) to Markdown. Use this skill to install and use MarkItDown for document conversion.
researcher
Use when asked to create research documents, generate PDFs, make one-pagers, or create cheatsheets. Triggers: "research document", "generate PDF", "one-pager", "cheatsheet", "distinctive design". Provides HTML/Markdown/PDF with Terminal, Editorial, Corporate, Industrial, Fresh aesthetic presets.
grok-prompting
Internal guidance for composing Grok prompts for coding, review, diagnosis, and research tasks inside the Grok Claude Code plugin.
summarize
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
export-pdf
Convert a markdown file to PDF using mdpdf. Use when exporting proposals, SOPs, or any markdown document to PDF.