capability-experiments skillB
capability-experiments is agent-read markdown (skill) from jellydn/my-ai-tools: Build an interactive report or experiment when the user asks to explore model capabilities..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Capability Experiments
## When to Use
Use this skill when:
- You need to present complex analysis in a readable format
- Interactive questionnaires would improve user interaction
- Exploring what's possible with next-generation model capabilities
- Multi-step reasoning is needed for architectural decisions
- You want to generate rich outputs (HTML, tables, interactive elements)
- Standard text output isn't sufficient for the task
## What It Does
Teaches techniques for leveraging advanced model capabilities — HTML generation, embedded interactive elements, proactive research, and multi-step reasoning. These patterns showcase what's newly possible with next-generation models and should be used freely.
## HTML Report Generation
Advanced models can generate rich, self-contained HTML. This is useful for:
### Analysis Reports
Generate structured HTML reports for complex findings:
```html
<!DOCTYPE html>
<html>
<head><style>
body { font-family: system-ui; max-width: 800px; margin: 2rem auto; }
.finding { border-left: 4px solid #e74c3c; padding: 1rem; margin: 1rem 0; }
.finding.fixed { border-color: #2ecc71; }
.severity { font-weight: 600; font-size: 0.85rem; }
…Read the whole file at its exact version.
How to install
mdr add jellydn/my-ai-tools/capability-experiments@git:20260913.e2e25bemdr add jellydn/my-ai-tools/capability-experiments@sha256:368bacaff4e9e31ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_f3i7wuc6lxhlmem2)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260913.e2e25be latest | 2026-09-13 | e2e25be | 8,598 B | B | view · diff |
| git:20260814.d1987f5 | 2026-08-14 | d1987f5 | 8,625 B | B | view |
Audit of the latest version
- fail: No script tag (matched: <script)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8598 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
Source
jellydn/my-ai-tools · 121 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f3i7wuc6lxhlmem2 GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/capability-experiments GET https://markdownregistry.com/api/v1/blob/368bacaff4e9e31ee506662e3edf91a212100895050576294d04b11fda1b18fb
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.