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 Gentleman-Programming · MCP Server · ★ 933
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gentle-shell safe to install? View the security audit →
gentle-shell™ Your coding agent for controlled development in the workspace you lead. Website · Quickstart · Docs ·&nb
| Stars | 933 |
| Forks | 137 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.8050542356708/100 |
| Open Issues | 405 |
| Last Updated | 2026-09-19 |
| Created | 2026-05-10 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
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gentle-shell is Turn Pi into el Gentleman: a senior-architect development harness with SDD/OpenSpec, subagents, strict TDD evidence, review guardrails, and skill discovery.. It is categorized as a MCP Server with 933 GitHub stars.
gentle-shell is primarily written in TypeScript. It covers topics such as agent-harness, agent-skills, ai-agents.
You can find installation instructions and usage details in the gentle-shell GitHub repository at github.com/Gentleman-Programming/gentle-shell. The project has 933 stars and 137 forks, indicating an active community.
gentle-shell is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gentle-shell on Agent Skills Hub include pilot-shell, ai-devkit, claude-code-plugins-plus-skills. 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: