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 ReflexioAI · Claude Skill · ★ 780
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-smart safe to install? View the security audit →
claude-smart A self-improvement plugin for Claude Code and Codex that turns interactions into durable skills they follow in future sessions. Quick Start • How It Works • Commands • Dashboard • Configuration • Troubleshooting • License claude-smart learns from your corrections and from what's already working — so the assistant stops repeating mistakes and reuses proven pat
| Stars | 780 |
| Forks | 87 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 72.0535386842208/100 |
| Open Issues | 19 |
| Last Updated | 2026-09-23 |
| Created | 2026-04-21 |
| Platforms | claude-code, codex, node, python |
| Est. Tokens | ~16k |
These tools work well together with claude-smart for enhanced workflows:
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claude-smart is Turns corrections into Preferences, Project-specific skills, and Shared skills for Claude Code, Codex, and OpenCode.. It is categorized as a Claude Skill with 780 GitHub stars.
claude-smart is primarily written in Python. It covers topics such as agent-memory, ai-agent-memory, ai-agents.
You can find installation instructions and usage details in the claude-smart GitHub repository at github.com/ReflexioAI/claude-smart. The project has 780 stars and 87 forks, indicating an active community.
claude-smart is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to claude-smart on Agent Skills Hub include memsearch, agentops, pro-workflow. 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: