Agent skill · AI & Agents

model-detection

Universal model detection and capability assessment for optimal cross-model compatibility

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill model-detection-bejranonda-llm-autonomous-agent --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/ai-llm/model-detection-bejranonda-llm-autonomous-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Overview This skill provides universal model detection and capability assessment to optimize the Autonomous Agent Plugin across different LLM models (Claude Sonnet, Claude 4.5, GLM-4.6, etc.). ## Model Detection Algorithm ### Primary Detection Methods 1. **System Context Analysis**: ```javascript // Check for model indicators in system context const modelIndicators = { 'claude-sonnet-4.5': { pattern: /sonnet.*4\.5|4\.5.*sonnet/i, confidence: 0.9 }, 'claude-haiku-4.5': { pattern: /haiku.*4\.5|4\.5.*haiku/i, confidence: 0.9 }, 'claude-opus-4.1': { pattern: /opus.*4\.1|4\.1.*opus/i, confidence: 0.9 }, 'glm-4.6': { pattern: /glm|4\.6/i, confidence: 0.9 }, 'claude-haiku': { pattern: /haiku(?!\.*4\.5)/i, confidence: 0.8 } } ``` 2. **Performance Pattern Recognition**: ```javascript // Analyze execution patterns to identify model const performanceSignatures = { 'claude-sonnet-4.5': { reasoning: 'nuanced', speed: 'fast', adaptability: 'high' }, 'claude-haiku-4.5': { reasoning: 'focused', speed: 'very_fast', adaptability: 'high' }, 'claude-opus-4.1': { reasoning: 'enhanced', speed: 'very_fast', adaptability: 'very_high' }, 'glm-4.6': { reasoning: 'structured', speed: 'moderate', adaptabil

What's inside
Steps it walks through
  1. Overview
  2. Model Detection Algorithm
  3. Primary Detection Methods
  4. Model-Specific Configurations
  5. Claude Sonnet 4.5 Configuration
  6. Claude Haiku 4.5 Configuration
  7. Claude Opus 4.1 Configuration
  8. GLM-4.6 Configuration
  9. Adaptive Execution Strategies
  10. Skill Loading Adaptation
  11. Communication Style Adaptation
  12. Error Recovery Adaptation
  13. Capability Testing Functions
  14. Nuanced Reasoning Test
Ships with 1 file
  • metadata.json
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About this skill
What does the model-detection skill do?

Universal model detection and capability assessment for optimal cross-model compatibility

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill model-detection-bejranonda-llm-autonomous-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going