augent CLAUDE.md

augent CLAUDE.md is an instructions file for coding agents from AugentDevs/augent. It costs 6,656 tokens per session, scanned A, original, MIT.

Project instructions for Augent, an audio-focused MCP server that can download, transcribe, search, and analyze audio from web URLs. They also document a command-line downloader for extracting audio from video sites.

In plain words
What is it for?
Use them to download audio from supported video URLs, save it to a chosen folder, process several URLs, transcribe files, or search audio for keywords. The documented downloader handles YouTube, Vimeo, SoundCloud, Twitter, TikTok, and many other sites.
Why use it?
They explain the intended audio workflow and the downloader's limits, so an agent knows which commands and project behavior to preserve.

Instructions file

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/augentdevs/augent/claude-md
Clone the repo
git clone --depth 1 https://github.com/AugentDevs/augent

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 augent CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/augentdevs/augent/claude-md.svg)](https://agentmods.dev/instructions/augentdevs/augent/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/augentdevs/augent/claude-md"><img src="https://agentmods.dev/badge/instructions/augentdevs/augent/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 6,656 This file is loaded in full into every session.
When invoked 6,656 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 $0.06656 $0.06656
Opus 5 $0.03328 $0.03328
Sonnet 5 $0.01331 $0.01331
Haiku 4.5 $0.00666 $0.00666

Measured 4d ago against content hash c0d27b4c7dfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

augent CLAUDE.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 4d 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.

CLAUDE.md · 547 lines

How it starts

The opening of the file, as written. The whole thing — 547 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Augent — Audio + Agents

Augent is an MCP server (Model Context Protocol) that gives agents audio intelligence. Download, transcribe, search, and analyze audio from any URL. Built for Claude Code. Compatible with any MCP client.

audio-downloader (Built by Augent)

A speed-optimized audio downloader for downloading audio ONLY from any video URL at lightning speed.

# Download audio from YouTube (or any video URL)
audio-downloader "https://youtube.com/watch?v=xxx"

# Download to custom folder
audio-downloader -o ~/Music "https://youtube.com/watch?v=xxx"

# Download multiple URLs
audio-downloader url1 url2 url3

Speed Optimizations:

  • aria2c multi-connection downloads (16 parallel connections)
  • Concurrent fragment downloading (4 fragments)
  • No video download - audio extraction only
  • No format conversion - native audio format

Supports: YouTube, Vimeo, SoundCloud, Twitter, TikTok, and 1000+ sites

Workflow: Download → Transcribe → Search

audio-downloader "https://youtube.com/watch?v=tutorial"
augent transcribe ~/Downloads/tutorial.webm
augent search ~/Downloads/tutorial.webm "keyword1,keyword2"

Note-Taking (Primary Workflow)

IMPORTANT: When a user gives you ANY URL and asks what was said, what happened, what's in it, or anything about the content — ALWAYS use the augent pipeline (download_audio + transcribe_audio, or take_notes for notes). This includes tweets, YouTube links, podcast URLs, TikTok, Twitter/X posts, and any link that might contain audio or video. Do NOT use WebFetch for media URLs. Do NOT say "augent can't do that" for social media links. If the URL might have audio or video, download it first and find out.

For note-taking specifically (notes, quiz, summary, highlights) — use the take_notes MCP tool. It downloads, transcribes, and saves .md to Desktop in one call.

When a user asks to "take notes" or "create a quiz" from a URL, use the take_notes tool. One tool call does everything:

  1. User says: "Take notes from https://youtube.com/watch?v=xxx"
  2. You call: take_notes with the URL
  3. Tool does: Downloads audio → Transcribes → Saves .md to Desktop → Returns audio_path and write_to
  4. You MUST then: Read the instruction field from the response and follow it exactly — format the notes and save them by calling take_notes(save_content="<your formatted notes>"). Do NOT use the Write tool for saving notes.
  5. For chapters/search: Use audio_path from step 3. Do NOT call download_audio — the audio is already downloaded.

Read the full file on GitHub · 547 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. 4d ago First seen · 547 lines · 6,656 tokens per session scan A c0d27b4c7dfb

Subscribe to this mod's changes

augent CLAUDE.md is an instructions file published in the GitHub repository AugentDevs/augent (5 stars, last pushed 4d ago), licensed MIT. It adds 6,656 tokens to every session, about $0.0333 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.