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 0Chencc · Agent Tool · ★ 2.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clawgod safe to install? View the security audit →
ClawGod English 日本語 God mode for Claude Code. This is NOT a third-party Claude Code client. ClawGod is a runtime patch applied on top of the official Claude Code. It works with any version — as Claude Code updates, the patch continues to take effect. Install macOS / Linux: Windows (PowerShell): Green logo = patched. Orange logo = original. What it does Feature Unlocks Restriction Removals "NEVER generate or guess URLs" instr
| Stars | 2,107 |
| Forks | 333 |
| Language | JavaScript |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 72.2131886418019/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-03 |
| Created | 2026-04-01 |
| Platforms | claude-code, node |
| Est. Tokens | ~13k |
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clawgod is ClawGod is a runtime patch applied to the official Claude Code. It continues to be supported with each version update.. It is categorized as a Agent Tool with 2.1k GitHub stars.
clawgod is primarily written in JavaScript. It covers topics such as ai, assistant, claude-ai.
You can find installation instructions and usage details in the clawgod GitHub repository at github.com/0Chencc/clawgod. The project has 2.1k stars and 333 forks, indicating an active community.
clawgod is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to clawgod on Agent Skills Hub include openwhispr, mcp-client-for-ollama, claude-notifications-go. 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: