by Re-Align · Agent Tool · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Re-Align/just-eval.git
pip install git+https://github.com/Re-Align/just-eval.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 90 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 2 |
| Last Updated | 2024-01-29 |
| Created | 2023-11-19 |
| Platforms | python |
| Est. Tokens | ~1201k |
Just-Eval: A fine-grained evaluation of LLM Alignment This is part of the Re-Align project by AI2 Mosaic. Please find more information on our website: https://allenai.github.io/re-align/. Just-Eval-Instruct Dataset 💾 Check out our data on 🤗 Hugging Face: re-align/just-eval-instruct 📊 Check here for the leaderboard: https://allenai.github.io/re-align/justeval.html#leaderboard Data distribution...
Looking for a just-eval alternative? If you're comparing just-eval with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs
AI agent simulation framework
Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
A list of LLMs Tools & Projects
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG fram
Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 tim
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: