ralphy: Skill for Claude Code

.agents/skills/hyperframes/SKILL.md

hyperframes is a skill for Claude Code, Codex from alecs5am/ralphy. It costs 173 tokens per session (7,742 once invoked), scanned A, a copy of hyperframes, Apache-2.0.

A framework for creating HTML-based video compositions with timed scenes, animation, captions, narration, audio-reactive visuals, and transitions.

In plain words
What is it for?
Use it to build title cards, overlays, subtitles synced to audio, text-to-speech voiceovers, animated scenes, and other web-based video content.
Why use it?
It keeps video timing and appearance in one HTML source, making scenes and media easier to coordinate.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is alecs5am/ralphy's own configuration. It tells Claude Code and Codex how to work on ralphy itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ralphy configures →

Reuse

Borrowing it

Nothing to install: this file belongs to alecs5am/ralphy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/alecs5am/ralphy/main/.agents/skills/hyperframes/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/alecs5am/ralphy

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 hyperframes

README.md
[![agentmods](https://agentmods.dev/badge/skills/alecs5am/ralphy/hyperframes/github.svg)](https://agentmods.dev/skills/alecs5am/ralphy/hyperframes)
Your own site
<a href="https://agentmods.dev/skills/alecs5am/ralphy/hyperframes"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/hyperframes/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 hyperframes

Your own site · 80×15
<a href="https://agentmods.dev/skills/alecs5am/ralphy/hyperframes"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/hyperframes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 173 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,742 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.
Origin 89% copy Near-identical to another mod 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 $0.00173 $0.07742
Opus 5.5 $0.00069 $0.03097
Sonnet 5.5 $0.00035 $0.01548
Haiku 4.5 $0.00017 $0.00774

Measured 1mo ago against content hash 60e178a8d8ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hyperframes 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 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/animation-map.mjs, scripts/contrast-report.mjs, scripts/package-loader.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

89% identical to hyperframes — 50 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/hyperframes/SKILL.md · 539 lines

How it starts

The opening of the file, as written. The whole thing — 539 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HyperFrames

HTML is the source of truth for video. A composition is an HTML file with data-* attributes for timing, a GSAP timeline for animation, and CSS for appearance. The framework handles clip visibility, media playback, and timeline sync.

Approach

Discovery (exploratory requests only)

For open-ended requests ("make me a product launch video", "create something for our brand") where the user hasn't committed to a direction, understand intent before picking colors:

  • Audience — who watches this? Developers? Executives? General consumers?
  • Platform — where does it play? Social (15s), website hero, product demo, internal?
  • Priority — what matters most? Motion quality? Content accuracy? Brand fidelity? Speed?
  • Variations — does the user want options, or a single best shot?

For specific requests ("add a title card", "fix the timing on scene 3"), skip discovery.

For exploratory requests, consider offering 2-3 variations that differ meaningfully — not just color swaps, but different pacing, energy levels, or structural approaches. One safe/expected, one ambitious. Don't mandate this — it's a tool available when appropriate.

Step 1: Design system

If design.md or DESIGN.md exists in the project, read it first (check both casings — they're different files on Linux). It's the source of truth for brand colors, fonts, and constraints. Use its exact values — don't invent colors or substitute fonts. Any format works (YAML frontmatter, prose, tables — just extract the values).

If it names fonts you can't find locally (no fonts/ directory with .woff2 files, not a built-in font), warn the user before writing HTML: "design.md specifies [font name] but no font files found. Please add .woff2 files to fonts/ or I'll fall back to [closest built-in alternative]."

If no design.md exists, offer the user a choice:

  1. User named a style or mood? → Read visual-styles.md for the 8 named presets. Pick the closest match.
  2. Want to browse options visually? → Run the design picker: read references/design-picker.md for the full workflow. This serves a visual picker page. The user configures mood, palette, typography, and motion in the browser, then copies the generated design.md and pastes it back into the conversation.
  3. Want to skip and go fast? → Ask: mood, light or dark, any brand colors/fonts? Then pick a palette from house-style.md.

Read the full file on GitHub · 539 lines

Files

What ships with it

46 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 539 lines · 173 tokens per session scan A 60e178a8d8ef

Subscribe to this mod's changes

hyperframes is a skill published in the GitHub repository alecs5am/ralphy (140 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 173 tokens to every session and 7,742 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to hyperframes, differing in 50 lines, and is treated as a copy.

Related

Other skills, from other repositories

video-gen

Use when generate videos with AI models — Runway, Kling, Sora, Pika, Seedance 2.0, Grok Imagine, Veo. Text-to-video, image-to-video, video extension, multi-modal references. Use when generating video from text prompts, animating images, or creating AI video content.

oyi77/1ai-skills · 69 tokens

clinical-reports

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation…

synthetic-sciences/openscience · 71 tokens

imaging-data-commons

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.

synthetic-sciences/openscience · 62 tokens

clinical-decision-support

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading…

synthetic-sciences/openscience · 97 tokens

molecular-cloning

Molecular cloning simulation and design. PCR amplicon prediction, restriction enzyme digestion, Golden Gate and Gibson assembly simulation, primer design, CRISPR sgRNA design, and plasmid annotation. For protein-level sequence analysis use biopython or esm; for database lookups use gene-database or ensembl-database.

synthetic-sciences/openscience · 70 tokens

geo-database

Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.

synthetic-sciences/openscience · 47 tokens