Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
design-control-loop
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
design-control-loop
Best first install candidate based on install readiness and adoption.
Freshest repo
design-control-loop
Most recent maintenance signal among this shortlist.
| Signal | design-control-loop interview the user to design an agentic control loop (sensor, controller, actuator under disturbances) tailored to their codebase, then build it as locally-runnable components plus a scheduled coding-agent workflow |
|---|---|
| Quality | 82/100 Strong |
| Decision verdict | 93/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 3.1K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 13, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code, OpenAI Agents |
| Warnings | The skill references using `--permission-mode bypassPermissions` in the agent runner templates, which could be dangerous if misused. While the skill cautions about trusted runners, it does not provide explicit guardrails for ensuring the generated workflows use least privilege or sandboxing. · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add humanlayer/skills --skill design-control-loop |