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 agentmods add skills/alecs5am/ralphy/hyperframes-registrynpx skills add alecs5am/ralphy --skill hyperframes-registrygit clone --depth 1 https://github.com/alecs5am/ralphyWhat 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 | $0.00067 | $0.00958 |
| Opus 5 | $0.00034 | $0.00479 |
| Sonnet 5 | $0.00013 | $0.00192 |
| Haiku 4.5 | $0.00007 | $0.00096 |
Grade A, and why
hyperframes-registry scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://raw.githubusercontent.com/heygen-com/hyperframes/main/registry/registry.json This is a copy
100% identical to hyperframes-registry — 0 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HyperFrames Registry
The registry provides reusable blocks and components installable via hyperframes add <name>.
- Blocks — standalone sub-compositions (own dimensions, duration, timeline). Included via
data-composition-srcin a host composition. - Components — effect snippets (no own dimensions). Pasted directly into a host composition's HTML.
When to use this skill
- User mentions
hyperframes add, "block", "component", orhyperframes.json - Output from
hyperframes addappears in the session (file paths, clipboard snippet) - You need to wire an installed item into an existing composition
- You want to discover what's available in the registry
Quick reference
hyperframes add data-chart # install a block
hyperframes add grain-overlay # install a component
hyperframes add shimmer-sweep --dir . # target a specific project
hyperframes add data-chart --json # machine-readable output
hyperframes add data-chart --no-clipboard # skip clipboard (CI/headless)
After install, the CLI prints which files were written and a snippet to paste into your host composition. The snippet is a starting point — you'll need to add data-composition-id (must match the block's internal composition ID), data-start, and data-track-index attributes when wiring blocks.
Note: hyperframes add only works for blocks and components. For examples, use hyperframes init <dir> --example <name> instead.
Install locations
Blocks install to compositions/<name>.html by default.
Components install to compositions/components/<name>.html by default.
These paths are configurable in hyperframes.json:
{
"registry": "https://raw.githubusercontent.com/heygen-com/hyperframes/main/registry",
"paths": {
"blocks": "compositions",
"components": "compositions/components",
"assets": "assets"
}
}
See install-locations.md for full details.
Wiring blocks
Blocks are standalone compositions — include them via data-composition-src in your host index.html:
What ships with it
7 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.
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.
- 2d ago First seen · 105 lines · 67 tokens per session scan A 0248bfb9968d
hyperframes-registry is a skill published in the GitHub repository alecs5am/ralphy (128 stars, last pushed 7d ago), licensed Apache-2.0. It adds 67 tokens to every session and 958 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to hyperframes-registry, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
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…
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…
gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
immunology-assays
Computational analysis of immunology experimental data. ATAC-seq differential accessibility, immune cell tracking from microscopy, ELISA data processing with 4-parameter logistic fitting, immunohistochemistry quantification, antibody titer analysis, and cell cycle phase duration estimation. For flow cytometry use…
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.
pharmacology-wetlab
Computational analysis of pharmacology wet-lab experiments. Western blot densitometry, xenograft tumor growth inhibition, pharmaceutical stability modeling (Arrhenius), radiolabeled antibody biodistribution, MIRD dosimetry, and adverse event grading. For drug databases use chembl-database or fda-database; for…