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 ldbumble · MCP Server · ★ 118
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is taskuary safe to install? View the security audit →
Taskuary English · 简体中文 ⭐ Please star Taskuary if you find it helpful — it is how other people find it. Your inbox, staffed by AI agents Taskuary turns incoming messages into organized work. It sorts what matters, hands tasks to your agents, and brings decisions back to you. Nothing sends or ships without your approval. Taskuary is early—currently v0.3.5.7—so breaking changes are still possible before 1.0. <a href="https://taskuary.co
| Stars | 118 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.1943675837897/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-23 |
| Created | 2026-08-17 |
| Platforms | claude-code, codex, gemini, mcp, python |
| Est. Tokens | ~16k |
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taskuary is Automate your job: local-first AI task hub. Email, Teams, Slack & reports -> one timeline -> AI triage -> your coding agents (Claude Code, Codex, Gemini) do the work, you approve.. It is categorized as a MCP Server with 118 GitHub stars.
taskuary is primarily written in Python. It covers topics such as agentic-workflow, ai, ai-agents.
You can find installation instructions and usage details in the taskuary GitHub repository at github.com/ldbumble/taskuary. The project has 118 stars and 22 forks, indicating an active community.
taskuary is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to taskuary on Agent Skills Hub include claude-emporium, redmine-mcp-server, OmoiOS. 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: