Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

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Decision summary

Huginn is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.

Strongest overall

Huginn

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Huginn

Best first install candidate based on install readiness and adoption.

Freshest repo

docker-agent-run

Most recent maintenance signal among this shortlist.

Signal	docker-agent-run Use this skill when running a Docker Agent with `docker agent run`, choosing a safety/approval mode, using the `--sandbox` isolation flag, setting up aliases, or troubleshooting a run (missing credentials, worktrees). Even if the user just says they want to "run my agent", "make my agent auto-approve tool calls", "run this agent safely", or "why can't my agent see my API key", this skill applies. Covers `--safety` (strict/balanced/restricted/autonomous), `--yolo`, `--sandbox` and its network allowlist, `--worktree`, `docker agent alias`, and `docker agent doctor`.	Huginn Create agents that monitor and act on your behalf. Your agents are standing by!	ToolJet ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀	Conductor Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents
Quality	65/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	64/100 Prototype first Prototype with this skill first; keep a fallback candidate ready.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	221 stars Verified outcomes are shown on each skill page	49K stars Verified outcomes are shown on each skill page	38K stars Verified outcomes are shown on each skill page