AgentEval.jl solves Julia's "Time to First X" (TTFX) problem for AI agents by providing persistent code evaluation through MCP STDIO transport. Unlike HTTP-based alternatives, it uses STDIO for security (no network ports), auto-spawns when needed, and maintains a persistent Julia session where variables, functions, and loaded packages survive across calls. The implementation provides tools for code execution, session reset, metadata access, and package management, making it ideal for iterative development workflows.
Cognium trust score
100%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-28.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.