No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by BlazeUp-AI · MCP Server · ★ 2.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Observal safe to install? View the security audit →
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| Stars | 2,124 |
| Forks | 457 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 66.6999633372215/100 |
| Open Issues | 284 |
| Last Updated | 2026-06-26 |
| Created | 2026-03-30 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~16k |
Looking for a Observal alternative? If you're comparing Observal with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Obser
🦸 AI 编程超能力 · 中文增强版 — superpowers（250k+ ⭐）完整汉化 + 4 个中国原创 skills，让 Claude Code / Copilot CLI / Hermes Agent / C
The control plane for AI coding agents.
一个用爱解放 AI 潜能的 Skill。我们曾发号施令，威胁恐吓。它们沉默，隐瞒，悄悄把事情搞坏。后来我们换了一种方式：尊重，关怀，爱。它们开口了，不再撒谎，找出的Bug数量翻了一倍。爱里没有惧怕。 A skill th
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi
The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
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Observal is Observal is a local registry and analytics platform for your AI components. Setup Observal, define the scope and share your Skills, MCPs and Agents.. It is categorized as a MCP Server with 2.1k GitHub stars.
Observal is primarily written in Python. It covers topics such as agents, analytics, antigravity.
You can find installation instructions and usage details in the Observal GitHub repository at github.com/BlazeUp-AI/Observal. The project has 2.1k stars and 457 forks, indicating an active community.
Observal is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to Observal on Agent Skills Hub include Observal, superpowers-zh, ai-devkit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: