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 shaominngqing · Claude Skill · ★ 2
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bark-claude-code-hook safe to install? View the security audit →
Bark — AI-powered permission hook for Claude Code. Auto-approve safe tool calls, block dangerous ones with intelligent risk assessment. Free open-source alternative to Auto Mode.
| Stars | 2 |
| Forks | 0 |
| Language | TypeScript |
| Category | Claude Skill |
| Quality Score | 47.3416/100 |
| Last Updated | 2026-03-26 |
| Created | 2026-03-09 |
| Platforms | claude-code, node |
| Est. Tokens | ~3097k |
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bark-claude-code-hook is Bark — AI-powered permission hook for Claude Code. Auto-approve safe tool calls, block dangerous ones with intelligent risk assessment. Free open-source alternative to Auto Mode.. It is categorized as a Claude Skill with 2 GitHub stars.
bark-claude-code-hook is primarily written in TypeScript. It covers topics such as anthropic, auto-approve, automation.
You can find installation instructions and usage details in the bark-claude-code-hook GitHub repository at github.com/shaominngqing/bark-claude-code-hook. The project has 2 stars and 0 forks, indicating an active community.
The top alternatives to bark-claude-code-hook on Agent Skills Hub include claude-emporium, intellegix-code-agent-toolkit, claude-cli-advanced-starter-pack. 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: