Anthropic Releases Claude Security Plugin for Claude Code in Beta: A Multi-Agent Vulnerability Scanner That Runs in Your Terminal
Anthropic has released the Claude Security plugin for Claude Code in beta.

Anthropic has released the Claude Security plugin for Claude Code in beta. The plugin runs a multi-agent vulnerability scan of a repository from inside an existing Claude Code session, then turns the findings you select into patch files that you review and apply yourself. Anthropic emphasized the tool’s versatility upon announcement, highlighting its capability to either run a comprehensive scan across the full codebase or inspect changes from the terminal right before a commit.
The plugin adds a single command, /claude-security, which opens a menu of three jobs, per the official documentation :
Installation is two commands from the official Anthropic marketplace :
If the marketplace is not found, run /plugin marketplace add anthropics/claude-plugins-official first. The plugin source is public in the claude-plugins-official repository , currently at version 0.10.0.
The scan is implemented as a dynamic workflow — a JavaScript orchestration script that fans work out across subagents. The script declares six phases:
Research runs against four fixed categories: injection-and-input, auth-and-access, memory-and-unsafe, and crypto-and-secrets. The memory-and-unsafe lens is dropped for components written entirely in memory-safe languages, so a pure Python or TypeScript component gets three lenses instead of four.
The operational scale of a run is dictated by four distinct effort tiers: low, medium, high, and max. Depending on the selected tier, specific thresholds are enforced: the maximum number of components is capped at 12 for low and medium tiers, expanding to 24 for high and max tiers; matrix cells are assigned 1 researcher, which increases to 2 at the high and max levels; and the number of gap-fill sweeps scales from 0 at low, to 1 at medium, up to 2 for high and max. When dealing with a limited scope or a small diff, the process condenses into a single-researcher configuration instead of deploying the entire matrix. This ensures the evaluation remains strictly proportionate to the target while maintaining the identical verification standard.
The system employs model-tiered agents: the orchestrator runs on Opus, while the repository cartographer and read-only code explorer run on Sonnet. Furthermore, the session model is inherited by researchers and verifiers, and scan agents are restricted exclusively to read-only tools.
This is the part worth understanding closely. A candidate finding does not go into the report because a researcher found it. It goes in only after surviving a panel.
Source: MarkTechPost