Anonymous Hacker Video Content Generation for Hermes Agent

Python toolkit and Hermes skill for 9:16 cybersecurity education videos with scale-accurate products

What Anonymous Hacker Video Content Generation does

The workflow starts by editing the user's real in-hand photo so the character appears while the product keeps its exact scale and grip, then uses that approved image as the sole reference for the first 9:16 scene. New paragraphs or locations get new first-frame compositions, and last-frame chaining is used only within one continuous action and place, which the project says prevents character drift and backward walking. Each 10 to 12 second clip is given two or three pacing beats.

Images are edited with fal.ai Nano Banana and clips are generated with fal.ai MiniMax H3 Max image-to-video. FFmpeg handles timing at 24 fps with cumulative boundaries and renders at 1080 by 1920, and contact sheets with four samples per clip support visual QC. An optional Remotion pass adds glitch and color accents, title cards and sound effects. Commands include validate, dry-run, stage-a, stage-b, topic-frame, generate, render and qc-sheet. The prompts are locked to ethical cybersecurity education and avoid operational attack commands, payloads and real credentials.

Key features

Stage-A edit that keeps the real product's size, placement and grip
Topic-specific scene frames and selective last-frame chaining
fal.ai Nano Banana image editing and MiniMax H3 Max image-to-video
FFmpeg assembly at 24 fps and 1080 by 1920 with narration offset
Four-sample-per-clip QC contact sheets
Offline config validation and dry-run commands

When to use it

Producing short vertical videos about USB and device safety for an educational channel
Keeping a handheld product at a believable size across generated scenes
Reviewing generated clips quickly with contact sheets before final render

Who it is for: Content creators making educational cybersecurity videos who want scripted, repeatable AI video production.

How it fits with Hermes Agent

Its SKILL.md can be installed as a user-local Hermes skill together with the included script and examples.

How to install Anonymous Hacker Video Content Generation

These commands are copied from the project's README. Check the repository for the latest steps before you run them.

python3 -m pip install -r requirements.txt
export FAL_KEY='your-fal-key'

Requirements: Python 3.10+, ffmpeg and ffprobe, and a FAL_KEY for live generation

FAQ

What is Anonymous Hacker Video Content Generation?

Anonymous Hacker Video Content Generation is a config-driven Python toolkit and Hermes skill for making vertical cybersecurity education videos. It handles reference editing, scene planning, video generation, FFmpeg timing and visual QC.

Does Anonymous Hacker Video Content Generation work with Hermes Agent?

Yes. The repository includes a SKILL.md that can be installed as a user-local Hermes skill with the bundled script and examples.

What do I need to run Anonymous Hacker Video Content Generation?

You need Python 3.10 or newer, ffmpeg and ffprobe, and a FAL_KEY for live generation. Validation and dry-run commands work offline, and the README says not to commit .env or credentials.