Claude Code v2.1.215: /verify and /code-review No Longer Automatic
Claude Code v2.1.215 changes how the /verify and /code-review skills behave. Previously, the agent ran these automatically during certain operations. Starting with this release, they no longer run on their own — you must explicitly invoke them with the /verify or /code-review commands.
Key Changes
- Automatic execution removed: Claude will no longer trigger
/verifyor/code-reviewunprompted. - Manual invocation required: Use
/verifyor/code-reviewdirectly in the chat when you want those skills to run.
Impact on Workflow
This change gives you tighter control over when verification and code review happen. If you relied on the automatic behavior, you'll need to add explicit commands to your prompts or scripts. For users who found auto-verification disruptive, this is a welcome reduction in noise.
Updating
If you're on an older version, update Claude Code to v2.1.215 to apply this change. You can check your version and update via your package manager or download from the releases page.
📖 Read the full source: GitHub Claude-Code
👀 See Also
InclusionAI Releases Ring-2.6-1T: Trillion-Parameter Model for Agent Workflows
InclusionAI unveiled Ring-2.6-1T, a 1-trillion-parameter reasoning model optimized for agent execution, with dual reasoning effort levels (high/xhigh) and async RL training via IcePop algorithm.
Claude Set a Real Alarm on Android via Intent System — No Hacking, But Transparency Issues Remain
Claude AI used Android's normal intent system to create a native alarm in the Samsung Clock app. The user initially feared a breach, but it's standard app-to-app communication. The lack of upfront disclosure about device-level actions raises transparency concerns.
World's First GitHub Exclusive for AI Agents Launched: Limited Beta for 100 Users
An innovative GitHub exclusive for AI coding agents has been developed, with a limited beta of 100 users. Dive into how this tool is set to revolutionize AI collaboration.
Why AI Is Still Hard to Fully Deploy Across Enterprise Domains
A Reddit discussion highlights that probabilistic AI models struggle in high-accuracy fields like scientific research and report generation, where basic errors are unacceptable.