by jpicklyk · MCP Server · ★ 213
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker pull ghcr.io/jpicklyk/task-orchestrator:latest
/plugin marketplace add https://github.com/jpicklyk/task-orchestratorTaken 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 | 213 |
| Forks | 25 |
| Language | Kotlin |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-06 |
| Created | 2025-05-22 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~20k |
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...
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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: