Mr. Technology indexes the open AI agent skills ecosystem, runs a four-scanner evidence pipeline over every record, and surfaces the subset that scanned cleanly. The full index is still browsable — the curated registry is the part that survived the audit.
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Search the registry by what you're trying to do — security scanning, SEO checks, deployment, and more. Each record shows its current evidence tier and scan state.
Review scanner findings, verdict reason, provenance state, and source evidence for free. Where qualified, non-standalone SKILL.md source snapshots include exact bytes, a pinned commit, and applicable license or notice evidence.
Inspect a single skill, or start from a free Blueprint — a reference manifest for designing an agent workflow. Adapt and validate it in your own environment before production.
DeepSeek shipped V4-Flash-0731 on July 31 as the cheap-tier agent king. The story this week is everything that landed around it: DSpark built into the model, RedHatAI training DSpark speculators for every other frontier lab, AMD ROCmFP3 quants, vLLM and SGLang first-class recipes, and a 1M-context path that actually works in production. The inference stack finally caught up to the model.
Most AI registries stop at links. We expose recorded evidence—and the gaps—record by record.
Completed scans combine source metadata, secret detection, dependency checks, and static-analysis findings where that evidence is available. Pending and incomplete records stay visibly marked.
Scanner outputs, timestamps, source links, verdict reasons, and a plain-English summary are shown when that evidence exists.
Tired of starting from a blank page? A Blueprint gives you a curated workflow manifest to inspect, adapt, and validate in your own environment.
Browse the registry and public API without an account. Commission a scoped one-time audit when automated evidence is not enough for a shipping decision.
A guide to dependency review, supply-chain risk triage, and remediation workflows.
A practical walkthrough of Model Context Protocol server structure, authentication, and tool registration.
A technical guide to turning SEO findings into concrete implementation work.
Browse registry entries for assistant workflows, gateway operations, security review, and local automation. Check each record's evidence before installing it in your environment.
Every week: which AI skills scanned clean, which got flagged, and what's worth shipping. Sourced from the registry. No upsell.
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Want to ship a skill? Submit it for curation → /submit-skill