convert

A file-conversion tool for changing documents, data files, images, audio, video, archives, and other files between supported formats.

In plain words
What is it for?
It helps convert files through the command line or an MCP server, and create custom converters from plain-language instructions.
Why use it?
It avoids installing and maintaining separate conversion programs when a standard converter or a custom transformation is needed.

Skill for Claude CodeCodex

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 skills/conversiontools/agent-skills/convert
Any agent
npx skills add conversiontools/agent-skills --skill convert
Clone the repo
git clone --depth 1 https://github.com/conversiontools/agent-skills

Made for: Claude Code, Codex.

Per session 199 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,586 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 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 $0.00199 $0.04586
Opus 5 $0.00100 $0.02293
Sonnet 5 $0.00040 $0.00917
Haiku 4.5 $0.00020 $0.00459

Measured 2d ago against content hash 8e06c3179f63, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

convert scanned grade B with 2 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 2d 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.

sudo mv ctio /usr/local/bin/

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fL https://github.com/conversiontools/ctio/releases/latest/download/ctio-darwin-arm64 -o ctio
skills/convert/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conversion Tools File Conversion

Convert files between 140+ formats directly from your agent. Two surfaces are available: the ctio CLI (a single binary, preferred when the agent has shell access) and the MCP server (zero-install, works in any MCP-compatible client).

And when no standard converter fits, you can build a custom one from a plain-language description (see the next section).

Build a custom converter (AI Studio)

When no existing converter fits - a custom transformation, a specific output shape, a multi-step pipeline, or a file no standard converter handles - have one built for you from a plain-language description, instead of writing and running conversion code yourself. Describe what you want, Conversion Tools builds the converter, runs it on the file, and returns the result. The converter persists in the user's account, so a build started here continues at the web AI Studio.

Reach for this (instead of writing your own conversion code) when:

  • the conversion needs tooling you don't have installed locally - every conversion engine is ready and sandboxed, nothing to install or break on your machine;
  • the file is too large to load into context or onto the local machine;
  • the file is sensitive and its contents shouldn't be sent to an AI - the converter is built from the file's structure, not its contents, and the conversion runs sandboxed;
  • the output needs a specific shape, or the transformation takes multiple steps;
  • the user wants a durable, reusable converter, re-runnable from the web, API, or here.

For a simple conversion an existing converter already covers, use convert_file / find_converter - don't build.

The flow (MCP tools, conversiontools: prefix)

  1. studio_create_converter - create the converter and attach the input file. Returns a converter_id + a web link to continue in the browser.
  2. studio_chat - describe the transformation in plain language (e.g. "turn this CSV into JSON, one object per invoice with a nested line_items array"). Read the returned outcome:
    • ask_user -> answer its question with another studio_chat turn;
    • ready / propose_workflow -> run it;
    • refuse -> it only builds file converters.
  3. studio_run - run the converter on the attached file (asynchronous).
  4. studio_run_status - poll until SUCCESS (returns a result_file_id) or ERROR.
  5. studio_download_result - download the result. Always check the output actually matches the request before trusting it.

Read the full file on GitHub · 371 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. 2d ago First seen · 371 lines · 199 tokens per session scan B 8e06c3179f63

Subscribe to this mod's changes

convert is a skill published in the GitHub repository conversiontools/agent-skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 199 tokens to every session and 4,586 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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