Audio Extraction
cosmicstack-labs/mercury-agent-skills
Audio Extraction: Extracting audio from videos, converting formats, and managing audio collections
Extract audio from video files to WAV format. An agent skill from benchflow-ai/skillsbench.
Apache-2.0Auto-check passed
Install Audio Extractor
$ npx skills add benchflow-ai/skillsbench --skill audio-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench audio-extractor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/audio-extractor .claude/skills/audio-extractor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "audio-extractor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/audio-extractor into .claude/skills/audio-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audio-extractor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/audio-extractorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add benchflow-ai/skillsbench --skill audio-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench audio-extractor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/audio-extractor .agents/skills/audio-extractor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "audio-extractor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/audio-extractor into .agents/skills/audio-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audio-extractor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill audio-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench audio-extractor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/audio-extractor .cursor/skills/audio-extractor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "audio-extractor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/audio-extractor into .cursor/skills/audio-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audio-extractor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/video-silence-remover/environment/skills/audio-extractor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill audio-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench audio-extractor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/audio-extractor .gemini/skills/audio-extractor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "audio-extractor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/audio-extractor into .gemini/skills/audio-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audio-extractor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install benchflow-ai/skillsbench audio-extractorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add benchflow-ai/skillsbench --skill audio-extractor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/audio-extractor .github/skills/audio-extractor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "audio-extractor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/audio-extractor into .github/skills/audio-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audio-extractor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill audio-extractor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench audio-extractor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/audio-extractor .opencode/skills/audio-extractor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "audio-extractor" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/audio-extractor into .opencode/skills/audio-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audio-extractor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
audio-extractor- GitHub stars
- 1.8k
- Token cost
- ~359 tokens
- SKILL.md length
- 117 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 178
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Extract audio from video files to WAV format. An agent skill from benchflow-ai/skillsbench.
- You need to analyze audio from video
- SKILL.md covers Use Cases, Usage, Dependencies and Example, plus 1 more section
- Runs Python scripts from its folder; calls python3
- Prepare audio for energy calculation
What it does
Audio Extractor is an agent skill from benchflow-ai/skillsbench. Extract audio from video files to WAV format. Use when you need to analyze audio from video, prepare audio for energy calculation, or convert video audio to standard format for processing.
Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/extract_audio.py`).
The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
When your agent uses it
- You need to analyze audio from video
- Prepare audio for energy calculation
- Convert video audio to standard format for processing
Example prompts
- “/audio-extractor”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Audio Extractor loads about 359 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 117 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 117 words, ~359 tokens.
Download SKILL.mdSave it as
.claude/skills/audio-extractor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- audio-extractor
- description
- Extract audio from video files to WAV format. Use when you need to analyze audio from video, prepare audio for energy calculation, or convert video audio to standard format for processing.
Audio Extractor
Extracts audio from video files to WAV format for further analysis. Converts to mono 16kHz PCM format optimized for speech/energy analysis.
Use Cases
- Extracting audio for speech analysis
- Preparing audio for energy calculation
- Converting video audio to standard format
Usage
python3 /root/.claude/skills/audio-extractor/scripts/extract_audio.py \
--video /path/to/video.mp4 \
--output /path/to/audio.wavParameters
--video: Path to input video file--output: Path to output WAV file--sample-rate: Audio sample rate in Hz (default: 16000)--duration: Optional duration limit in seconds (default: full video)
Output Format
- Format: WAV (PCM 16-bit signed)
- Channels: Mono
- Sample rate: 16000 Hz (default)
Dependencies
- ffmpeg
Example
# Extract first 10 minutes of audio
python3 /root/.claude/skills/audio-extractor/scripts/extract_audio.py \
--video lecture.mp4 \
--duration 600 \
--output audio.wavNotes
- Output is always mono for consistent analysis
- 16kHz sample rate is sufficient for speech analysis and reduces file size
- Supports any video format that ffmpeg can read
© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in tasks/video-silence-remover/environment/skills/audio-extractor of benchflow-ai/skillsbench.
- SKILL.md
- scripts/extract_audio.py
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Audio Extractor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Audio Extractor this skillbenchflow-ai/skillsbench | 1.8k | — | ~359 | Automated safety check: Pass | Apache-2.0 | |
| Audio Extractioncosmicstack-labs/mercury-agent-skills | 476 | — | ~4.7k | Automated safety check: Pass | MIT | |
| HyperFrames Audioheygen-com/hyperframes | 59k | 1 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Extractalirezarezvani/claude-skills | 28k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Brand Extractnexu-io/open-design | 100k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Audio EditingZJU-REAL/Easel | 3.2k | — | ~753 | Automated safety check: Pass | Apache-2.0 |
Similar skills
HyperFrames Audio
heygen-com/hyperframes
Mixes audio already placed in a HyperFrames composition: fades, gain, ducking under a voiceover, effect chains, automation and shared submix buses.
Extract
alirezarezvani/claude-skills
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.
Brand Extract
nexu-io/open-design
Extract a complete Brand Kit from a live website by driving the in-app browser.
Audio Editing
ZJU-REAL/Easel
通用音频处理：音频剪辑/裁剪、格式转码（mp3/wav/m4a/aac）、音量归一化、从视频提取音轨、多段拼接、淡入淡出、变速（保音高）。当用户说“剪音频”“裁一段”“转成 mp3”“调音量/响度”“提取音轨/扒音频”“拼接音频”“淡入淡出”“加速/减速音频”“变速不变调”时使用。与 audio-denoise 的区别：audio-denoise 专做降噪，audio-editing…
Design Extract
nexu-io/open-design
Extract design tokens (color / typography / spacing) from imported source code, screenshots, or Figma exports into the canonical token bag token-map consumes.
More from benchflow-ai/skillsbench
All 178 skills in this repoLean4 Memories
benchflow-ai/skillsbench
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences…
Senior Data Engineer
benchflow-ai/skillsbench
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.
Ac Branch Pi Model
benchflow-ai/skillsbench
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching acopf-math-model.md and MATPOWER branch fields.
Civ6lib
benchflow-ai/skillsbench
Civilization 6 district mechanics library. An agent skill from benchflow-ai/skillsbench.
D3 Visualization
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
Dc Power Flow
benchflow-ai/skillsbench
DC power flow analysis for power systems. An agent skill from benchflow-ai/skillsbench.
Questions about Audio Extractor
What does Audio Extractor do?
Extract audio from video files to WAV format. An agent skill from benchflow-ai/skillsbench. Audio Extractor is an agent skill from benchflow-ai/skillsbench. Extract audio from video files to WAV format.
When should I use Audio Extractor?
Audio Extractor fits situations like: you need to analyze audio from video; prepare audio for energy calculation; convert video audio to standard format for processing.
How do I install Audio Extractor in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill audio-extractor -a claude-code`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/audio-extractor in benchflow-ai/skillsbench) into .claude/skills/audio-extractor in your project. Claude Code loads it when a task matches its description.
How do I install Audio Extractor in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill audio-extractor -a codex`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/audio-extractor in benchflow-ai/skillsbench) into .agents/skills/audio-extractor in your project. Codex loads it when a task matches its description.
Can I use Audio Extractor in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill audio-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audio-extractor, .gemini/skills/audio-extractor, .github/skills/audio-extractor and .opencode/skills/audio-extractor in your project.
What does Audio Extractor need to run?
Going by SKILL.md and its folder, Audio Extractor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Audio Extractor access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Audio Extractor safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Audio Extractor use?
Audio Extractor is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Audio Extractor use?
About 359 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Audio Extractor?
Skills that share tags, products or a category with Audio Extractor: Audio Extraction (cosmicstack-labs/mercury-agent-skills, 476 stars), HyperFrames Audio (heygen-com/hyperframes, 59k stars), Extract (alirezarezvani/claude-skills, 28k stars) and Brand Extract (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Audio Extractor?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.