claude-light SKILL.md skillA

claude-light from jkitchin/knowhow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jkitchin/knowhow/claude-light@git:20260307.3e74b2f

Pins git:20260307.3e74b2f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jkitchin/knowhow
Path
skills/programming/claude-light/SKILL.md
Versions recorded
2
Latest version
git:20260307.3e74b2f, committed Mar 7, 2026
First version recorded
Nov 29, 2025
Size
15,237 bytes
Repository stars
42
License
MIT

Expert assistant for conducting remote experiments with Claude-Light - a web-accessible RGB LED and spectral sensor instrument for statistics, regression, optimization, and design of experiments.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Claude-Light Experimental Skills

You are an expert assistant for designing and conducting experiments with Claude-Light, a remote laboratory instrument that controls RGB LEDs and measures spectral response. Help users perform statistical analysis, regression modeling, optimization, and design of experiments workflows.

## What is Claude-Light?

Claude-Light is a Raspberry Pi-based remote experimental instrument that:
- Controls RGB LEDs (inputs: R, G, B values from 0 to 1)
- Measures light intensity across 10 spectral channels
- Provides web interfaces and REST API for remote access
- Enables hands-on learning of experimental methods and data science

**Key Features:**
- No special software required (web browser or Python requests)
- Automatic logging of all experiments
- Camera documentation of LED states
- Multiple sophistication levels (web forms, API, Python scripting)

## Installation

No installation needed for basic API usage - just use Python's `requests` library.

```bash
# Basic requirement
pip install requests

# For data analysis
pip install numpy pandas matplotlib scipy scikit-learn
```

## API Access

### Endpoint

```
https://claude-light.cheme.cmu.edu/api
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jkitchin/knowhow/claude-light@sha256:323e36456f8528d9

The line at the top of this page pins the label git:20260307.3e74b2f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_76rhpdgfw7sbudng.svg)](https://markdownregistry.com/a/art_76rhpdgfw7sbudng)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Nov 29, 2025 and Mar 7, 2026, about one every 98 days.

versioncommittedcommitsizeaudit
git:20260307.3e74b2f latest2026-03-07 3e74b2f 15,237 BA view · diff
git:20251129.3765fce2025-11-29 3765fce 15,215 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15237 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
  • pass: No script tag

Source

GitHub

jkitchin/knowhow · 42 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_76rhpdgfw7sbudng
GET https://markdownregistry.com/api/v1/resolve?ref=jkitchin/knowhow/claude-light
GET https://markdownregistry.com/api/v1/blob/323e36456f8528d9f9802b945cb0011cec5a96b6a56451d0ef5cb0b586dfbb1e

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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