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Real plays.
Open contracts.
Inspect what a Play reads, writes, and needs before you run it. Every artifact below comes from its published registry manifest.
VERIFIED PUBLISHER · MODIQOHello
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.
Proven paths, ready to inspect.
Whale Flow Monitor
Monitor whale accumulation on Polymarket. Combines the public Gamma API (market metadata, pricing) with the public Data API (holders, leaderboard) to identify markets where top-performing traders are building positions, flagging whale clustering and smart-money flow signals. Migrated to the steps DAG form: market discovery and the trader leaderboard fetch run in parallel as independent roots, per-market holder fetches fan out from discovery, and the correlation join cross-references holders against the leaderboard — each source degrades to a labeled unknown instead of failing the play.
Website Launch Readiness
Checks a public website launch across DNS, HTTP, TLS, security headers, essential metadata, robots, sitemap, and optional local Lighthouse scores. Each probe family is its own DAG step in a four-layer graph, so DNS and the page fetch run in parallel, TLS/robots/sitemap/Lighthouse fan out from the fetched final origin, any single probe degrades to a labeled unknown instead of failing the play, and the readiness join shows exactly which probe said what.
Summarize Stacked Github Prs
Builds the complete GitHub pull-request stack rooted at a bottom PR, explains every PR from the user's point of view, and renders the branch relationships as Mermaid.
Startup Equity Health
Computes startup equity-health metrics for a private company and explains them for a prospective employee: capital efficiency (total raised / ARR), valuation multiple (valuation / ARR), liquidation preference stack share (raised / valuation), an acquisition payout waterfall across exit prices, post-lockup IPO scenarios, and an after-tax take-home (earn-out) estimate reflecting vesting cliff, 409A strike cost, and blended federal+state taxes — ending with the questions an employee should ask the employer. Each computation stage is its own DAG step with explicit value edges (the derived metrics flow from core_metrics into the waterfall, IPO, and take-home stages), so every intermediate number is inspectable per step. The invoking agent elicits the financial inputs from public web coverage before calling, and passes provenance via the sources parameter.
Seller Narrative Cross Examiner
Cross-examines seller and listing claims against independently sourced property, association, permit, insurance, legal, and market evidence; labels each claim supported, mixed, unsupported, or unverified and converts gaps into document requests and offer protections.
Second Opinion
Cross-examines one AI coding assistant's answer with a different assistant. Asks the first for a conclusion plus reasoning, gives the second the original question, the same material and the first answer, and asks whether it holds up and which single claim it would challenge first. Leads with the disagreement, then the verdict, then both reasonings. Refuses to run both roles as the same assistant.