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 jpicklyk · MCP Server · ★ 205
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is task-orchestrator safe to install? View the security audit →
MCP Task Orchestrator Schema-driven workflow enforcement for AI agents. An MCP server that gives AI coding assistants a persistent work item graph with server-enforced quality gates. Define workflow schemas in YAML to do two things: (1) set a planning floor that enforces your minimum specification requirements before work can start, and (2) guide agent workflows through each phase with structured instructions the server surfaces at exactly the right moment. Items flow through with dependency enforcement and gate-checked transitions — the server blocks progression until required work is done and tells agents precisely what's missing. The result: deterministic workflow progression that doesn't depend on prompt discipline, and persistent state that lets agents pick up where they left off across sessions. Why This Exists AI agents have no built-in way to manage complex work. Without persistent state, every session starts from zero — no memory of what was planned, what's done, or what's blocked. Multi-step projects fall apart as the agent loses track of decisions, depend
| Stars | 205 |
| Forks | 21 |
| Language | Kotlin |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.3896673113078/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-16 |
| Created | 2025-05-22 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~20k |
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task-orchestrator is Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the. It is categorized as a MCP Server with 205 GitHub stars.
task-orchestrator is primarily written in Kotlin. It covers topics such as ai-coding-assistant, ai-development, ai-harness.
You can find installation instructions and usage details in the task-orchestrator GitHub repository at github.com/jpicklyk/task-orchestrator. The project has 205 stars and 21 forks, indicating an active community.
task-orchestrator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to task-orchestrator on Agent Skills Hub include roampal-core, UnrealClaude, claude-historian-mcp. 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: