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Original research

The state of AI-capability security

Most registries never read the code they list. We extract and read the source of every capability, then grade it on a two-axis model: only malicious or tampered code lowers the score, while dangerous-by-capability traits (shell, network, injection strings, pickle) are surfaced as risk surface. Here is what reading 246 real capabilities shows — computed live from the current scans.

Verdicts across 246 scanned capabilities
Safe (no compromise signal)70% · 173/246
Review (a flagged finding to check)29% · 72/246
Quarantined (genuinely dangerous — hidden)0% · 1/246

Grades: 173 A · 0 B · 0 C · 73 D. 54 awaiting scan (source too large to fetch).

Capability surface (158 MCP servers / agents / tools)

What these code-executing capabilities can actually do, from static analysis of their source. This is the surface an agent grants when it installs one — and what an install-time policy should gate on.

Make network calls78% · 124/158
Read/write the filesystem94% · 148/158
Execute shell / subprocesses69% · 109/158
Access environment secrets82% · 130/158
Call external hosts (egress)98% · 155/158
Run install-lifecycle hooks4% · 7/158
Tool-description prompt-injection (poisoning)0% · 0/158
Model / embedding weights (46)
Ship pickle-serialized weights (code-exec on load)15% · 7/46
Datasets (8)
Carry a PII surface63% · 5/8
Prompts / templates (4)
Contain injection-shaped instructions0% · 0/4

Every verdict is reproducible on the listing Security tab, and agents can query it before installing: GET /api/v1/trust/{slug}.

How we grade →Browse grade-A capabilities →
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