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 Mirascope · LLM Plugin · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mirascope safe to install? View the security audit →
Mirascope Welcome to Mirascope, which allows you to use any frontier LLM with one unified interface. Quick Start Install Mirascope: Call LLMs with a Decorator Get St
| Stars | 1,527 |
| Forks | 126 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 64.0490405523813/100 |
| Open Issues | 18 |
| Last Updated | 2026-09-22 |
| Created | 2023-12-05 |
| Platforms | python |
| Est. Tokens | ~14k |
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mirascope is The LLM Anti-Framework. It is categorized as a LLM Plugin with 1.5k GitHub stars.
mirascope is primarily written in Python. It covers topics such as artificial-intelligence, developer-tools, llm.
You can find installation instructions and usage details in the mirascope GitHub repository at github.com/Mirascope/mirascope. The project has 1.5k stars and 126 forks, indicating an active community.
mirascope is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mirascope on Agent Skills Hub include vibe-coding-prompt-template, code-graph-rag, nocturne_memory. 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: