by ZhixiangLuo · MCP Server · ★ 483
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ZhixiangLuo/10xProductivity.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 483 |
| Forks | 56 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-13 |
| Created | 2026-03-17 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
10xProductivity Turn your coding agent into a personal assistant at work — without any IT hassle. 10x the output (not just a single task) of every person in your company — from executives to ICs. Cursor, Claude Code, and similar tools are far more than coding assistants.
Looking for a 10xProductivity alternative? If you're comparing 10xProductivity with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The control plane for AI coding agents.
Official remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucke
🤖 24/7 AI agent that maximizes Claude Code Pro usage via Slack. Auto-processes tasks, manages isolated worksp
Reusable project context and specialist workflows for the AI tools you already use. Agents, skills, rules and
Turn tracker tickets into autonomous agent sessions
Command a fleet of AI agents, on every deck, every desk, every wrist. Self-hosted multi-agent platform with me
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: