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babysitter

Skill Productivity Early

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

564 starsMIT (commercial OK)FreeQuick setup
New Find — Recently discovered. Looks promising but has limited community feedback so far. We added it early so you can evaluate it before the crowd finds it.

Adds reliability controls to agentic workforces, preventing runaway or non-compliant AI behavior on complex tasks. Critical for teams running long-horizon autonomous workflows where oversight matters.

Engineering teams running multi-agent or long-running autonomous tasks who need guardrails without constant human intervention.

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https://github.com/a5c-ai/babysitter

By a5c-ai

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install a5c-ai/babysitter

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars564Last updated2026-04-16T11:29:47ZLicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-16 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

22 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 564 GitHub stars; contributors unknown; last commit 34d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 EarlyEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 564 GitHub stars; contributors unknown; last commit 34d ago; license MIT.

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