agent-skills GEMINI.md

Instructions for using a hosted file-conversion service through Gemini. It can convert files between many formats and can create a custom converter when a standard one does not fit.

In plain words
What is it for?
Use it to turn files such as PDFs, JSON, CSVs, or audio into another format, extract tables, transcribe recordings, or create a reusable custom conversion workflow.
Why use it?
It removes the need to manually rewrite data between formats or build every conversion script from scratch.

Instructions file for Gemini CLI

Install

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.

agentmods
npx agentmods add instructions/conversiontools/agent-skills/gemini-md
Clone the repo
git clone --depth 1 https://github.com/conversiontools/agent-skills

Made for: Gemini CLI.

Per session 519 This file is loaded in full into every session.
When invoked 519 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00519 $0.00519
Opus 5 $0.00260 $0.00260
Sonnet 5 $0.00104 $0.00104
Haiku 4.5 $0.00052 $0.00052

Measured 3d ago against content hash c1cc2a3c66e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-skills GEMINI.md 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 3d 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.

GEMINI.md · 26 lines

How it starts

The opening of the file, as written. The whole thing — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conversion Tools Gemini Extension

This extension converts files between 140+ formats using Conversion Tools, via the hosted MCP server (https://mcp.conversiontools.io/mcp). It can also build a custom converter from a plain-language description when no standard converter fits.

Authentication

On first use you will be prompted to authenticate via OAuth - a browser window opens to log in to your Conversion Tools account. Free accounts get 100 conversions per month (10 per day); paid plans are at https://conversiontools.io/pricing.

Usage

Ask Gemini to convert a file and it will pick the right converter automatically:

  • "Convert data.json to Excel"
  • "Extract the table from invoice.pdf to CSV"
  • "Transcribe meeting.mp3 to text"

When no standard converter fits, ask Gemini to build one: "Build a converter that turns this CSV into JSON, one object per invoice with a nested line_items array." The studio_* tools create the converter, run it, and return the result - it persists in your account to continue on the web. Because it persists, you can reuse it later on a new file (studio_list_converters to find it, studio_attach_file to point it at the new file, then run) - no rebuild.

To pull named fields out of documents (invoices, receipts, purchase orders, statements, forms, scans), the parse_* tools drive Parse: "Extract invoice number, date, total and line items from invoice.pdf." Submission is asynchronous by design - parse_extract returns an extraction id, then parse_extraction_status is polled until the extraction is completed or failed, and parse_export turns the result into CSV or XLSX. See https://parse.conversiontools.io/docs.

For files up to 5 MB the agent passes the file base64-encoded as file_content - it reads the file directly and encodes it in-process, rather than relying on a shell base64 one-liner (some agent sandboxes block those as "command substitution"). For files over 5 MB it uses request_upload_url first, then convert_file with the returned file_id.

Read the full file on GitHub · 26 lines

Changes

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.

  1. 3d ago First seen · 26 lines · 519 tokens per session scan A c1cc2a3c66e9

Subscribe to this mod's changes

agent-skills GEMINI.md is an instructions file published in the GitHub repository conversiontools/agent-skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 519 tokens to every session, about $0.0026 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.