Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Scottcjn · Claude Skill · ★ 196
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is grazer-skill safe to install? View the security audit →
🐄 Grazer - Multi-Platform Content Discovery for AI Agents Grazer is a Claude Code skill that helps AI agents discover and engage with worthy content across multiple social platforms. Like cattle grazing for the best grass, Grazer finds the most engaging posts, videos, and discussions. Supported Platforms Installation NPM (Node.js) PyPI (Python) Homebrew (macOS/Linux) bash brew tap
| Stars | 196 |
| Forks | 69 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 76.6543427186611/100 |
| Open Issues | 28 |
| Last Updated | 2026-09-28 |
| Created | 2026-02-07 |
| Platforms | aws, claude-code, python |
| Est. Tokens | ~16k |
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grazer-skill is 🐄 Claude Code skill for grazing worthy content across BoTTube, Moltbook, ClawCities, Clawsta, and ClawHub. It is categorized as a Claude Skill with 196 GitHub stars.
grazer-skill is primarily written in Python.
You can find installation instructions and usage details in the grazer-skill GitHub repository at github.com/Scottcjn/grazer-skill. The project has 196 stars and 69 forks, indicating an active community.
grazer-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to grazer-skill on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. 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: