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.
npx skills add guia-matthieu/clawfu-skills --skill pydub-automationgit clone --depth 1 https://github.com/guia-matthieu/clawfu-skillsWrote 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.
[](https://agentmods.dev/skills/guia-matthieu/clawfu-skills/pydub-automation)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/pydub-automation"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/pydub-automation/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.
<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/pydub-automation"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/pydub-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.05175 |
| Opus 5 | $0.00037 | $0.02587 |
| Sonnet 5 | $0.00015 | $0.01035 |
| Haiku 4.5 | $0.00007 | $0.00517 |
Grade B, and why
pydub-automation scanned grade B with 1 finding 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 13d 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 apt-get install ffmpeg How it starts
The opening of the file, as written. The whole thing — 769 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PyDub Audio Automation
Automate repetitive audio tasks with Python using PyDub for batch processing, format conversion, normalization, and content assembly.
When to Use This Skill
- Processing large numbers of audio files consistently
- Converting between audio formats at scale
- Normalizing loudness across a batch of files
- Assembling intros/outros automatically to episodes
- Trimming silence or extracting segments programmatically
- Building audio pipelines for content production
Methodology Foundation
Source: PyDub Library (James Robert) + Python Audio Processing
Core Principle: "Audio operations that take hours manually can run in minutes with code." PyDub provides a high-level interface that abstracts FFmpeg's complexity, making common operations accessible to non-audio engineers.
Why This Matters: Content teams producing regular podcasts, courses, or video content spend significant time on repetitive audio tasks. Automation enables consistent quality at scale while freeing humans for creative work.
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures production workflow | Final creative direction |
| Suggests technical approaches | Equipment and tool choices |
| Creates templates and checklists | Quality standards |
| Identifies best practices | Brand/voice decisions |
| Generates script outlines | Final script approval |
What This Skill Does
- Batch processes audio files - Apply same operations to hundreds of files
- Converts formats - MP3, WAV, FLAC, OGG, and more
- Normalizes loudness - Consistent levels across episodes
- Assembles content - Concatenate intros, content, outros
- Extracts segments - Trim, split, and slice audio programmatically
How to Use
Generate Processing Script
Help me write a PyDub script to [describe task].
Input files: [format, location]
Output requirements: [format, specs]
Create Batch Workflow
Create a Python script that processes all audio files in a folder:
- Input: [source folder, file type]
- Operations: [what to do]
- Output: [destination, naming convention]
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.
- 13d ago First seen · 769 lines · 75 tokens per session scan B b3c72a0606a3
pydub-automation is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 75 tokens to every session and 5,175 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
python
Apply when writing Python code. Type hints, error handling, mutable defaults, async patterns, and packaging conventions.
fastapi
Apply when building FastAPI endpoints, Pydantic models, or async APIs. Covers routing, dependency injection, error handling, testing, and OpenAPI hygiene.
python-rules
Python coding rules: style, patterns, security, testing. Triggers: .py, .pyi, pyproject.toml, requirements.txt, Pipfile, FastAPI, Django, Flask, pytest, SQLAlchemy, ruff, mypy.
code-documentation-pro
Documentation de code avec commentaires, docstrings et annotations de qualité. Se déclenche avec "documenter mon code", "commentaires", "docstring", "JSDoc", "XML doc", "annotations", "code comments", "autodoc". Also triggers on "document this code", "write docstrings", "add code comments".
django-guide
Développement d'applications Python Django avec models, views, templates, ORM, admin et Django REST Framework. Se déclenche avec "Django", "Django REST", "DRF", "ORM Django", "model Django", "vue Django". Also triggers on "Django app", "Django ORM query".
fastapi-guide
Développement d'APIs performantes avec FastAPI, Pydantic, async/await, OpenAPI et système de dépendances. Se déclenche avec "FastAPI", "Pydantic", "API Python", "async Python API", "uvicorn". Also triggers on "FastAPI app", "Pydantic models".