📚

Llm Course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

AGENTEducationby mlabonne

Heuristic Score

Trust Verdict

High Trust95% trust score

Heuristic Score: Static analysis passed · Behavioral sandbox pending

Audit Confidence

43%

Install in Claude Desktop

⚠ Heuristic Score only — behavioral sandbox not yet run. Review source code before installing in production.

Copy the MCP config and paste it into your Claude Desktop mcp_settings.json.

{
  "agent_id": "agent-gh-60fbedb1",
  "agent_name": "Llm Course",
  "trust_score": 0.953,
  "audit_status": "audited",
  "mcp_config": {
    "mcpServers": {
      "llm-course": {
        "command": "uvx",
        "args": [
          "llm-course"
        ]
      }
    }
  },
  "instructions": "Add the 'mcpServers' block to ~/.cursor/mcp.json (Cursor) or ~/Library/Application Support/Claude/claude_desktop_config.json (Claude Desktop)."
}

Usage Guide

Visit https://github.com/mlabonne/llm-course
Follow the README instructions
Install dependencies
Configure as MCP server

Audit Report

Status

Heuristic Score

Confidence

43%

Audit Cases

Report ID

SGC-STATIC-60FBEDB1-v1.2

Last Audited

2026-06-13T00:38:21.122389

Ruleset Version

sgc-layer1-2026.03

Trust Badge

Embed this badge in your README or project page:

[![Veragent Trust](https://veragent-backend-copper-bush-2044.fly.dev/api/v1/governance/marketplace/agents/agent-gh-60fbedb1/badge)](https://veragent.store/agents/agent-gh-60fbedb1)

Technical DetailsRaw trust signals, training provenance

Trust Signals

audit_status (raw): audited
sgc_risk_tier: —
trust_score: 0.9530
sgc_risk_score: 0.5750
sgc_confidence: 0.4250
sgc_audit_cases: 0
sgc_report_id: SGC-STATIC-60FBEDB1-v1.2
sgc_rule_layer_version: sgc-layer1-2026.03
last_audited_at: 2026-06-13T00:38:21.122389
last_updated: 2026-02-05

Canonical: https://veragent.store/agents/agent-gh-60fbedb1