- EXECUTION
- ROTE
- INPUTS
- 0 PARAMETERS
- EFFECT
- READ ONLY
- TRUST
- DIGEST VERIFIED
Steered once.
Yours to run.
Inspect what a Play reads, writes, and needs before you run it. Every artifact below comes from its published registry manifest.
How to review a Play →PLAYS FROM TEAMS AND THE COMMUNITYBrowse research-backed ideas that connect APIs, browsers, and local commands.
Find a Play for your work.
Explore the jobs your team handles every day.
Engineering
Code reviews, testing, developer tools
504 PlaysDevOps & Reliability
Deployments, incidents, service health
127 PlaysSecurity
Vulnerabilities, access, security audits
144 PlaysData & AI
Data pipelines, analytics, model evaluation
53 PlaysAgent Operations
Agent tools, orchestration, reusable Plays
81 PlaysFinOps & Finance
Cloud costs, budgets, financial analysis
29 PlaysWorkplace
Email, calendars, everyday team tasks
80 PlaysResearch & Analysis
Find sources, compare options, check facts
49 PlaysSales & Marketing
Customer research, campaigns, publishing
14 PlaysHello
Is it down, or is it just you — for YOUR machine. Probes the AI harnesses you actually have installed (claude, codex, agy, pi, hermes, opencode), ranks them by session recency, checks version drift and provider status, reads live model prices from LiteLLM, checks common infra (AWS, Supabase, Cloudflare, GitHub with Actions, HuggingFace), and surfaces this week's npm/cargo/pip advisories. A parallel dependency DAG with provable step-to-step dataflow; every source degrades to a labeled unknown instead of failing the play; ends in one classified briefing with a glyph stage ledger. S0-clean, reads public data only, writes nothing, carries no keys, needs only python3.