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 avenoxai/avenoxskills --skill avenox-graphicsgit clone --depth 1 https://github.com/avenoxai/avenoxskillsWrote 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/avenoxai/avenoxskills/avenox-graphics)<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.
<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>- NVIDIA SkillSpector warn
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]
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 | $0.00098 | $0.01338 |
| Opus 5 | $0.00049 | $0.00669 |
| Sonnet 5 | $0.00020 | $0.00268 |
| Haiku 4.5 | $0.00010 | $0.00134 |
Grade A, and why
avenox-graphics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Graphics — HyperFrames cutaways → composite
Brand source of truth: brand/frame.md. Define it once, then never deviate
inside a job. (Reference implementation: warm paper #f3efe4, ink #1b1712,
one golden accent #e8b23a, a serif display face + a grotesk UI face, plus a
mascot. Deliberately anti-AI-slop — no neon, no gradient mesh, no
glassmorphism, no 3D gloss.)
Pipeline
- Project:
cd "$STUDIO_JOBS/<job>/graphics" && npx hyperframes init gfx(one-time; installs a headless chromium — slow first run, background it). - 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. - 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 - Composite all cutaways onto the cut via ffmpeg, each at its timecode.
Composition contract (HyperFrames)
#rootwithdata-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: usefromTo/set, and position every tween ontl. - Deterministic only — no
Date.now(), noMath.random(), no runtime fetch. Web fonts via<link>are fine. - Render flags:
-f 60,--resolution landscape(1920×1080),--format mp4(usemov/webmfor 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 SVGfeTurbulencegrain atopacity .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
(
scaleXwipe) → mascot (assets/mascot.png).
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.
- 9d ago First seen · 108 lines · 98 tokens per session scan A a6c2d90bd2c1
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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