video-project-github
Keep an AI video project, or any agent-built project, in a private GitHub repo, even when the person has never used git. The agent does everything: creates the private repo, keeps keys out, saves a version after every approved step, stores big video and audio outside git so GitHub's 100 MB limit nev…
Install / Use
npx skills add hashgraph-online/awesome-codex-plugins --skill video-project-githubInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of video-project-github
video-project-github scores 85/100 on our quality scale, 2740th of 4,651 Development & Engineering skills we index.
Its SKILL.md is 9.4 KB long, well organised into 12 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.
With 1,075 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so video-project-github is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
video-project-github compared with similar skills
All 4 of these similar skills score higher than video-project-github; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| video-project-github (this skill)by hashgraph-online | 85 | 1.1k | 46d ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 112.1k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 110.4k | 1d ago | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 70.6k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 46.8k | 6d ago | CLAUDE.md |
Frequently asked questions
- How do I install video-project-github?
- Run
npx skills add hashgraph-online/awesome-codex-plugins --skill video-project-github. The install tabs above show the steps for each supported agent. - Which AI agents does video-project-github work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is video-project-github safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is video-project-github still maintained?
- The repository was last updated about 2 months ago, so video-project-github is actively maintained.
Skill content
View source on GitHubname: video-project-github description: >- Keep an AI video project, or any agent-built project, in a private GitHub repo, even when the person has never used git. The agent does everything: creates the private repo, keeps keys out, saves a version after every approved step, stores big video and audio outside git so GitHub's 100 MB limit never hits, and restores the whole project byte for byte on a new laptop. Sets up the folder layout for mood boards, script, sound, characters, blockout, shots and the edit as text (HyperFrames, Remotion, ffmpeg), records the prompt, model, seed and cost of every take, and gives an undo for anything. Use for "put this on GitHub", "back up my video project", "don't lose my work", "undo", "go back to the old version", "move to a new computer", "organize my project folder", "file structure for an AI video", "edit video in the terminal", "git for video". Not for one-off clips with no later edits, or for teams already happy with their own git setup. license: MIT metadata: author: vargHQ version: "1.0.0" openclaw: requires: bins: - git - gh - python3 homepage: https://github.com/vargHQ/skills/tree/main/video-project-github compatibility: >- Any agent with a shell: Claude Code, Codex, Cursor, Gemini CLI. Needs git, the GitHub CLI (gh) and Python 3.9+, on macOS, Linux or Windows, and a free GitHub account. No paid services, no extra accounts. The person clicks once to sign in. allowed-tools: Bash(git:) Bash(gh:) Bash(python3:*) Read Write Edit
Keep a video project in a private GitHub repo
People want an undo button and a backup, not version control. This skill gives them both and never asks them to learn git.
How it works. Text (scripts, prompts, storyboards, the edit as HTML or TSX) goes in git, where every change is one
readable line. Media stays out of git: scripts/repo.py lists each file by hash in media.lock.jsonl and uploads the
bytes to Releases of the same private repo. One GitHub login covers everything, and a new laptop gets it all back.
<skill> below is this skill's folder. Once a project exists it carries its own copy at tools/repo.py, so any agent
on any machine can continue without this skill. You do not need to read the script: --help lists the commands and every
message says what to do next.
When not to use this
- One clip with no later edits: keep the file. Nothing here is needed.
- The person already has a git setup that works, with LFS or their own storage: keep it and take only the layout and naming from
references/layout.md. - A file over 2 GB, or more than about 50 GB in total: read
references/media-storage.mdfirst. - No shell and no Python: use the prompt in
references/paste-prompt.md, which does the same by hand.
Step 1: check the machine
python3 <skill>/scripts/repo.py doctor
Install what it lists; it gives the exact command. If GitHub sign-in is missing, run gh auth login --web --git-protocol https
in the background: it prints a one-time code and waits. Show the person the code and the link (https://github.com/login/device),
and tell them: "Open this link, paste the code, click Authorize." If your tool cannot keep it running, ask them to run the command
themselves (in Claude Code, by typing ! gh auth login --web --git-protocol https). Never ask for a password or a token, and never
accept one in chat. If they have no account, send them to https://github.com/signup first.
Step 2: start, or bring in what exists
New project:
python3 <skill>/scripts/repo.py new <name> # add --kind code for a code project
cd <name> && python3 tools/repo.py connect
Existing folder (run inside it). Look at the plan before applying:
python3 <skill>/scripts/repo.py adopt # prints the plan, changes nothing
python3 <skill>/scripts/repo.py adopt --apply
python3 tools/repo.py connect
The scanner catches common key formats, not all of them, so check for yourself: open every script and config file in the folder and look for
hard-coded credentials, flagged or not. For each one add NAME=value to .env, put $NAME (or process.env.NAME) in the file, and run
again. Tell the person which keys you found, without printing their values. A key that was ever shared or in an earlier version is burned:
they should make a new one at the provider.
adopt never moves or deletes their files. Offer to sort them into the standard folders afterwards, and do it only if they agree.
connect creates the repo as private and checks that GitHub reports it private. Then prove the backup works before saying it is safe:
python3 tools/repo.py proof
It clones into a temporary folder, restores everything, compares every hash and deletes the folder.
Step 3: while working
| When | Run |
|---|---|
| A piece of work is finished, or before anything risky | Rewrite STATUS.md, then python3 tools/repo.py save "what changed" |
| The person approves a step | python3 tools/repo.py approve story "their words" |
| A paid generation returns | python3 tools/repo.py media note <file> --prompt-file <shot.md> --model <id> --seed <n> --cost <usd> --job <id> --url <link> |
| A risky idea, or a second agent at the same time | python3 tools/repo.py try <name>, work in the folder it prints, then keep <name> or drop <name> |
| "Undo", "go back", "I liked the old one" | python3 tools/repo.py versions, then back <number>, or back <number> <file> for one file |
| A render is finished | python3 tools/repo.py ship renders/film_v003.mp4 --note "first cut" |
| Someone needs access | python3 tools/repo.py invite <their GitHub name> |
| New computer | gh repo clone <name> && cd <name> && python3 tools/repo.py restore |
| "Is it really safe?" | python3 tools/repo.py proof |
In the whole-video order from how-to-make-ai-video, run approve at every STOP. Run save before any paid call.
How to talk to the person
Never say commit, push, branch, merge, tag, LFS or repository unless they use the word first.
| Say | Means |
|---|---|
| saved, version 12 | a commit |
| backed up to GitHub | pushed |
| go back to version 8 | back 8 |
| a side copy to try it | try |
| your private project on GitHub | the repo |
End each save with one line: "Saved as version 12, backed up. Say 'go back' any time." When finished, tell them the link, that only they can see it, what is not in GitHub (keys, on purpose), and how to get it back on a new laptop.
The folders
my-film/
├── AGENTS.md rules for any agent (CLAUDE.md points here)
├── STATUS.md where we stopped, what is next
├── brief.md the ask, spend cap, every note word for word with the date
├── media.lock.jsonl every media file by hash, with prompt, model, seed, cost
├── inputs/ what the person gave. Read only
├── refs/ refs.md, frames
├── look/ moodboard.md, board.html, test stills
├── story/ script.md, STORYBOARD.md
├── sound/ plan.md, cues.json, beats.json, mix.wav
├── cast/ <id>.md passports, sheets
├── blockout/ three.js or Blender scene, stills
├── shots/sh010/ shot.md, takes/sh010_t01.mp4
├── edit/ the timeline as text: a HyperFrames or Remotion project
├── review/ notes.md, review.md
├── renders/ film_v003.mp4. Not saved, rebuilt from text
└── tools/repo.py
Shots go in tens (sh010, sh020) so a shot can go in between. A new take is the next number and never overwrites. Renders are
versioned and never called "final". Why this shape, and how it maps to film practice: references/layout.md.
Rules that stop the expensive mistakes
- Write
.gitignorebefore the firstgit add.newandadoptdo this. Git never forgets a file once it is in a pushed version. - Never run
git reset --hard,git clean,git push --force,git rebaseorgit filter-repounless the person asked and agreed to the loss. - Never put a project in
~/Downloads, and never start an agent there: a downloadedAGENTS.mdis read as instructions. Avoid iCloud and Dropbox folders too: sync tools can damage.git. - Local git is not a backup. A save counts only after it says "Backed up to GitHub".
- You do not need a second GitHub account for the agent. If you want one, GitHub's terms allow one free personal account per person plus one free machine account, used only for running a machine.
- If a save stops, read what it says and fix that. Never work around the check with
--no-verifyorgit add -f.
Editing in the terminal
The timeline is a text file, so a cut is a one-line change you can read, undo and compare. Table of editor concepts and their
terminal equivalents, HyperFrames and Remotion setup, and the first-edit trap: references/terminal-editing.md.
The same result every time
Code renders repeat; AI generations do not. Keep the bytes of every approved take, pin tool versions, and separate who makes from who
judges. The checklist and the measurements behind it: references/repeatable-results.md.
If something fails
Exact errors and fixes: references/troubleshooting.md. Sources and benchmarks: references/evidence.md.
Ranking takes or deliverables with a model
Scripts check facts, a person decides taste, and an LLM filters and finds defects. Criteria, evidence only and a tie as an allowed answer: references/llm-judge.md.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
