avenox-graphics

avenox-graphics is a skill for Claude Code, Codex from avenoxai/avenoxskills. It costs 98 tokens per session (1,338 once invoked), scanned A, original, MIT.

A workflow for creating branded motion graphics and placing them into an edited video. It covers title cards, diagrams, data visualisations, loops, lower-thirds, and outro screens.

In plain words
What is it for?
Use it to build full-screen cutaways or transparent overlays, render them as video, and composite them onto footage at specified timecodes.
Why use it?
It keeps graphics consistent with a project’s defined brand style and provides a repeatable path from compositions to a finished video.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build full-screen cutaways or transparent overlays, render them as video, and composite them onto footage at specified timecodes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/avenoxai/avenoxskills/avenox-graphics
Install

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.

Any agent
npx skills add avenoxai/avenoxskills --skill avenox-graphics
Clone the repo
git clone --depth 1 https://github.com/avenoxai/avenoxskills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for avenox-graphics

README.md
[![agentmods](https://agentmods.dev/badge/skills/avenoxai/avenoxskills/avenox-graphics/github.svg)](https://agentmods.dev/skills/avenoxai/avenoxskills/avenox-graphics)
Your own site
<a href="https://agentmods.dev/skills/avenoxai/avenoxskills/avenox-graphics"><img src="https://agentmods.dev/badge/skills/avenoxai/avenoxskills/avenox-graphics/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.

agentmods 80×15 button for avenox-graphics

Your own site · 80×15
<a href="https://agentmods.dev/skills/avenoxai/avenoxskills/avenox-graphics"><img src="https://agentmods.dev/badge/skills/avenoxai/avenoxskills/avenox-graphics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,338 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 20
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 30
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.01338
Opus 5 $0.00049 $0.00669
Sonnet 5 $0.00020 $0.00268
Haiku 4.5 $0.00010 $0.00134

Measured 9d ago against content hash a6c2d90bd2c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

avenox-graphics scanned grade A with 0 findings 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 9d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/avenox-graphics/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Graphics — HyperFrames cutaways → composite

Brand source of truth: brand/frame.md. Define it once, then never deviate inside a job. (Reference implementation: warm paper #f3efe4, ink #1b1712, one golden accent #e8b23a, a serif display face + a grotesk UI face, plus a mascot. Deliberately anti-AI-slop — no neon, no gradient mesh, no glassmorphism, no 3D gloss.)

Pipeline

  1. Project: cd "$STUDIO_JOBS/<job>/graphics" && npx hyperframes init gfx (one-time; installs a headless chromium — slow first run, background it).
  2. One composition per beat = a standalone <name>.html. Reuse the brand template below. Each is full-screen 1920×1080 — a cutaway (opaque, replaces footage) or a transparent overlay.
  3. Render serially (render reads index.html):
    for f in *.html; do
      n="${f%.html}"; [ "$n" = index ] && continue
      cp "$f" index.html
      npx hyperframes render -f 60 --resolution landscape -o "renders/$n.mp4"
    done
    
  4. Composite all cutaways onto the cut via ffmpeg, each at its timecode.

Composition contract (HyperFrames)

  • #root with data-composition-id="main" data-start data-duration data-width data-height.
  • Every timed element: class="clip" + data-start data-duration data-track-index.
  • ONE paused GSAP timeline registered: window.__timelines["main"] = gsap.timeline({paused:true}). HyperFrames seeks it per frame, so everything must be seek-safe: use fromTo/set, and position every tween on tl.
  • Deterministic only — no Date.now(), no Math.random(), no runtime fetch. Web fonts via <link> are fine.
  • Render flags: -f 60, --resolution landscape (1920×1080), --format mp4 (use mov/webm for alpha overlays).

Brand template

  • Fonts via a single <link> to your webfont provider — renders fine in headless chrome.
  • html,body{background:<paper>} + a paper div, radial vignette, and an SVG feTurbulence grain at opacity .05 / mix-blend-mode: multiply. Fix the turbulence seed or the grain is nondeterministic and frames will flicker.
  • Kicker (grotesk, tracked caps) → title (serif, heavy) → accent underline (scaleX wipe) → mascot (assets/mascot.png).

Read the full file on GitHub · 108 lines

Changes

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.

  1. 9d ago First seen · 108 lines · 98 tokens per session scan A a6c2d90bd2c1

Subscribe to this mod's changes

avenox-graphics is a skill published in the GitHub repository avenoxai/avenoxskills (49 stars, last pushed 1mo ago), licensed MIT. It adds 98 tokens to every session and 1,338 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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