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 arpitg1304 · Claude Skill · ★ 336
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is robotics-agent-skills safe to install? View the security audit →
🤖 Robotics Skill Store A curated collection of SKILL.md files for AI agents working on robotics software development. Each skill follows the Anthropic skill format with YAML frontmatter, actionable patterns, real code examples, and documented anti-patterns. Skills | [ros2-we
| Stars | 336 |
| Forks | 46 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 69.657511827415/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-12 |
| Created | 2026-02-26 |
| Platforms | claude-code, docker, python |
| Est. Tokens | ~14k |
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robotics-agent-skills is Agent skills that make AI coding assistants write production-grade robotics software. ROS1, ROS2, design patterns, SOLID principles, and testing — for Claude Code, Cursor, Copilot, and any SKILL.md-co. It is categorized as a Claude Skill with 336 GitHub stars.
robotics-agent-skills is primarily written in Python. It covers topics such as agent-skills, ai-coding-assistant, claude-skills.
You can find installation instructions and usage details in the robotics-agent-skills GitHub repository at github.com/arpitg1304/robotics-agent-skills. The project has 336 stars and 46 forks, indicating an active community.
robotics-agent-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to robotics-agent-skills on Agent Skills Hub include agent-designer, SkillForge, ai-maestro. 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: