chutes-media

chutes-media is a skill for Claude Code, Codex from TheStreamCode/chutes-media-mcp. It costs 98 tokens per session (1,310 once invoked), scanned A, original, MIT.

A guide for creating image, video, music, and speech files through Chutes and saving them directly into a project. It explains how to find available models and check each model’s required inputs before generating media.

In plain words
What is it for?
Generating project assets such as images, videos, music, voiceovers, and text-to-speech audio, then connecting those files to the project’s code.
Why use it?
It prevents incorrect generation requests by requiring the agent to inspect the selected model’s input format first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Generating project assets such as images, videos, music, voiceovers, and text-to-speech audio, then connecting those files to the project’s code.

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Install with agentmods
npx agentmods add skills/thestreamcode/chutes-media-mcp/chutes-media
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.

Any agent
npx skills add TheStreamCode/chutes-media-mcp --skill chutes-media
Clone the repo
git clone --depth 1 https://github.com/TheStreamCode/chutes-media-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for chutes-media

README.md
[![agentmods](https://agentmods.dev/badge/skills/thestreamcode/chutes-media-mcp/chutes-media/github.svg)](https://agentmods.dev/skills/thestreamcode/chutes-media-mcp/chutes-media)
Your own site
<a href="https://agentmods.dev/skills/thestreamcode/chutes-media-mcp/chutes-media"><img src="https://agentmods.dev/badge/skills/thestreamcode/chutes-media-mcp/chutes-media/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.

agentmods 80×15 button for chutes-media

Your own site · 80×15
<a href="https://agentmods.dev/skills/thestreamcode/chutes-media-mcp/chutes-media"><img src="https://agentmods.dev/badge/skills/thestreamcode/chutes-media-mcp/chutes-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,310 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00098 $0.01310
Opus 5 $0.00049 $0.00655
Sonnet 5 $0.00020 $0.00262
Haiku 4.5 $0.00010 $0.00131

Measured yesterday against content hash b1f7d7e098cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

chutes-media 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 yesterday.

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.

skill/chutes-media/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chutes Media

Generate image, video, music, and speech through Chutes and save the asset directly into the project being worked on, then reference it from the code. Use the MCP tools when they are available (list_media_models, describe_media_model, generate_media); otherwise use the chutes-media CLI, which exposes the same three operations and prints a JSON result to stdout.

Golden rule

Model payloads are never uniform across Chutes — FLUX, Qwen-Image, Wan, LTX, ACE-Step and TTS models each expose different fields. Always call describe_media_model before generate_media for any model not already described in this session, and compose the payload from the returned example. Never guess field names.

Core workflow

Follow these steps for every generation request:

  1. Discover — Call list_media_models with the target kind (image | video | music | speech) and/or a query. If the user named a model, skip to step 2. Models are not hardcoded and the catalog changes, so discover rather than assume.

  2. Describe — Call describe_media_model { model }. Read the returned cords. Each cord lists its required fields, fields (types/defaults/ranges), and a ready-to-fill example; the result also reports a top-level supportsEditing. Pick the cord for the operation (generation cord by default).

  3. Compose — Start from the cord's example, set the real prompt/inputs, and keep the payload flat. The server transparently unwraps function-signature schemas (e.g. an input_args wrapper) and validates the payload before spending a GPU call, returning a precise error if a field is wrong.

  4. Generate — Call generate_media { model, kind, params, cord?, output_dir?, filename?, overwrite? }. The server warms the model, invokes it (blocking, with progress updates), retries transient cold-start 503s automatically, downloads the asset, and saves it under ./assets/chutes/<kind>/ by default. Outputs must remain inside the workspace; set overwrite: true only when replacement is intentional. It returns { path, kind, model, cord, bytes, contentType, cost?, durationMs, schemaHash?, provenancePath? }schemaHash pins the cord schema the payload was validated against, and provenancePath is the sidecar written next to the asset (omitted when provenance is disabled).

Read the full file on GitHub · 98 lines

Files

What ships with it

1 file 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.

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. yesterday Changed b1f7d7e098cb
  2. 9d ago First seen · 98 lines · 98 tokens per session scan A 20139cfc882a

Subscribe to this mod's changes

chutes-media is a skill published in the GitHub repository TheStreamCode/chutes-media-mcp (1 stars, last pushed today), licensed MIT. It adds 98 tokens to every session and 1,310 once invoked, about $0.0005 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.

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