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scientific-classification

Classify scientific objects, detect patterns, and categorize data across astronomy, biology, and social sciences

Skill by beita6969

IndexedMIT★ 1,019
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/beita6969-scientific-classification

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About

Classify scientific objects, detect patterns, and categorize data across astronomy, biology, and social sciences

Use cases: data, research

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/scientific-classification

What's inside

Skill name
scientific-classification
Description
Classify scientific objects, detect patterns, and categorize data across astronomy, biology, and social sciences
License
MIT
Instructions
30 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Scientific Classification & Detection

## Purpose
Classify scientific objects and detect patterns using established taxonomies and classification schemes.

## Key Datasets
- **SDSS Stellar Classification** (Allanatrix/Astro): 100K objects from SDSS DR17 — Stars, Galaxies, Quasars with photometric features (u, g, r, i, z magnitudes, redshift)
- **Social Bias Frames** (allenai/social_bias_frames): Allen AI SBIC corpus for detecting implicit social biases in text

## Protocol
1. **Feature extraction** — Identify relevant features for classification task
2. **Taxonomy mapping** — Map to standard classification scheme
3. **Classification** — Apply appropriate classifier with confidence scores
4. **Validation** — Cross-validate against known labeled examples
5. **Edge case analysis** — Flag ambiguous or borderline cases

## Classification Domains
- **Astronomical objects**: Stellar spectral types (OBAFGKM), galaxy morphology (Hubble), AGN types
- **Biological taxonomy**: Species classification, protein families, cell types
- **Chemical compounds**: Functional groups, drug classes, toxicity levels
- **Text classification**: Sentiment, bias detection, topic classification
- **Image classification**: Histopathology, satellite imagery, microscopy

## Rules
- Report classification confidence and alternative labels
- Use domain-standard taxonomies (not ad-hoc categories)
- Handle multi-label and hierarchical classification
- Document decision boundaries and feature importance

From beita6969/ScienceClaw, MIT.

More from beita6969/ScienceClaw

Signals

Stars
1,019
Forks
109
Open issues
1
Last commit (this folder)
Mar 12, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/beita6969/ScienceClaw
Website
scienceclaw.science
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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scientific-classification skill. Agent Mart. https://agentmart.dev/skills/beita6969-scientific-classification (last updated 2026-10-24)