blast-radius

Lets Claude drive the Preflight CLI: audit your AI setup (doctor, context cost), install resources and loadouts with a dry run first, and share or import a setup.

3 skills · 3 commands

One line: what this plugin adds.

1 skill · 1 command · 1 agent

Live plan progress bars above the Claude Code prompt: stages, steps, foldable agent strips and soft sounds

1 skill

Lists the small guesses Claude made without asking; mark each right or wrong, and a wrong one gets fixed on its own

Le Bureau des agents in a side pane: its pixel-art office and engine, playing your session

Prompt-cache warmth above the prompt: countdown, hit rate, savings, lapse warnings and keep-warm pings, toggled by /cache-warm

Commands for git commit workflows including commit, push, and PR creation

3 commands

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

Claude Code mod: watch Headroom snip tokens off every request, with an animated band, a /headroom log and a running total.

Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.

2 commands

Connect Claude Code directly to your CockroachDB clusters for hands-on database work — explore schemas, write optimized SQL, debug queries, and manage distributed database clusters. This plugin provides 14 tools across two active MCP backends (self-hosted MCP Toolbox and managed CockroachDB Cloud MCP Server), three specialized agents (DBA, Developer, Operator), 32 skills across 6 operational domains, and built-in safety hooks.

34 skills · 3 agents · 3 MCP servers · hooks

Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).

1 skill · hooks