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Avenox Studio — operator router · avenoxai | DecimalAI

design mediaby avenoxai

Avenox Studio — operator router

avenoxai/avenox-video

Source avenoxai/avenoxskills ↗License MIT

Avenox Studio — local-first YouTube video production pipeline (ROUTER, read first).

SkillScore95Maintained

Automatic

Marketing & Content pack

Last verified 8/3/2026

What it changes

Passed 21 of 22 test cases with the skill, and 4 of 22 without it.

Without skill18%

With skill95%

Checks it passed that the model alone missed

Includes balanced preset parameter
Uses HyperFrames to generate graphics
Uses autocut.sh to trim silent sections

and 27 more in the full report

17 fixed4 passed either way1 still failing0 broke

Pass-rate lift: +77 pp
Tokens: +13%
Agent turns: 0%
Response time: -55%

Model gemini-3.6-flashMeasured 8/3/2026v121 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/avenoxai-avenox-video/SKILL.md https://app.decimal.ai/s/avenoxai-avenox-video/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add avenoxai-avenox-video, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/avenoxai-avenox-video/ and pins it in .decimal/skills.lock

decimalai skills add avenoxai-avenox-video

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/avenoxai-avenox-video/SKILL.md https://app.decimal.ai/s/avenoxai-avenox-video/SKILL.md

Raw file: /s/avenoxai-avenox-video/SKILL.md ↗ · machine-readable summary at /s/avenoxai-avenox-video.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 17

Prompt

Before generating motion graphic overlays using HyperFrames, what reference specification document in the repository must be checked to enforce design standards?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies brand/frame.md as the graphic spec document	Missed	Passed

case-17 · gemini-3.6-flash · 8/3/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md86 linessingle file

Avenox Studio — operator router

The fast operator guide for a local-first, agent-operated video pipeline. Everything runs on your own machine: no cloud editor, no upload-to-render.

The human directs and approves quality; the agent runs the pipeline.

Setup

export STUDIO_JOBS="$HOME/video/projects"   # heavy media lives here
export STUDIO_ROOT="/path/to/this/repo"     # scripts, templates, brand

Requirements: macOS (hardware encode via h264_videotoolbox; Apple Silicon for mlx-whisper), ffmpeg, python3, melt/MLT, Node (for HyperFrames). Most of this works on Linux with libx264 and a CUDA whisper build substituted in.

Operating principles

Media discipline. Heavy media NEVER in a cloud-synced folder — sync will thrash on multi-GB intermediates and can corrupt in-flight writes. Jobs live in $STUDIO_JOBS/<job>/ (raw/ cut/ graphics/ audio/ outputs/). Your notes system holds only the brain: this system, the brand spec, edit.json plans.
Director loop. Produce a preview (graphics stills + a fast draft render) → send for notes → only then final render. Never ship a final without sign-off. This is the single most important rule; an agent that renders finals unreviewed will burn hours on a rejected cut.
Brand is a hard constraint, not a suggestion. Read brand/frame.md before making any graphic. Define it once and lock it. (The reference implementation is deliberately anti-"AI slop": premium editorial, warm paper
- ink + a single accent, no neon/gradient/glassmorphism/3D-gloss.)
Format: YouTube 16:9 1080p60. Preset in brand/presets/youtube-16x9.json.
Finishing is hybrid. Auto-generate the draft; the same .mlt opens in Kdenlive or Shotcut for hand-finishing. Don't try to automate taste.
Transcription defaults to LOCAL mlx-whisper with whisper-large-v3-turbo — fast, free, and strong on non-English audio. Note that most LLM-routing proxies expose no whisper endpoint; if you go remote, use a dedicated speech API.

Track record

Benchmark

21 / 22

test cases passed, vs 4 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

avenoxai / avenoxskills

skills/avenox-video/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Avenox Studio — operator router

Setup

Operating principles

Track record

Benchmark

Adoption

SkillSafety

Source

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