Curated AI skills,
scanned and ranked.

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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How it works

1

Find what you need

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.

2

Look under the hood

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.

3

Adapt deliberately

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.

From the blog

Meta Muse Glimmer 30B Is What Llama 4 Should Have Been. Local, Open, Agentic, Multimodal, And Apache 2.0.

Meta shipped meta-models/Muse-Glimmer-30B today — Apache 2.0, dense 30B, multimodal (vision + video), hybrid attention, speculative decoding drafter, day-zero support in transformers/llama.cpp/vLLM. It beats Gemma 4 31B and Qwen 3.6 27B on the agentic benchmarks that matter. This is Meta reclaiming the open-source throne at the size class that actually runs on your laptop.

Why teams use Mr. Technology

Most AI registries stop at links. We expose recorded evidence—and the gaps—record by record.

Recorded evidence, not five-star reviews

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.

You can see what's inside

Scanner outputs, timestamps, source links, verdict reasons, and a plain-English summary are shown when that evidence exists.

Blueprints you can inspect and adapt

Tired of starting from a blank page? A Blueprint gives you a curated workflow manifest to inspect, adapt, and validate in your own environment.

Free evidence. Paid human review.

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.

Featured technical guides

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New

OpenClaw assistant and operations skills.

Browse registry entries for assistant workflows, gateway operations, security review, and local automation. Check each record's evidence before installing it in your environment.

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Free weekly curation.

Every week: which AI skills scanned clean, which got flagged, and what's worth shipping. Sourced from the registry. No upsell.

One email per week. Unsubscribe in one click. We don't sell, share, or spam.

Want to ship a skill? Submit it for curation → /submit-skill

Built for security teams and the developers they unblock.

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