A/B Test Results: oh-my-claudecode Hooks Show Minimal Impact on Claude Code Performance

Experiment Setup and Methodology
A developer conducted a straightforward A/B test to evaluate the impact of oh-my-claudecode dynamic hooks on Claude Code performance. The experiment used Claude Sonnet 4.6 with the same coding task run six times total: three runs with OMC hooks ON and three runs with OMC hooks OFF. All runs used identical prompts, session flow, and machine environment.
The task involved building a Markdown editor from scratch in a single continued session, implementing the app, writing and running tests, then reviewing and fixing bugs, security, and accessibility issues before running tests again. The goal wasn't to produce flawless code but to measure whether hooks changed Claude's behavior in meaningful ways.
Key Results
- Code quality: Identical scores (15.0/20 for both OFF and ON)
- Total cost: Literally the same ($5.56 for both conditions)
- Total tokens: Slightly lower with hooks ON (6.48M vs 6.76M OFF)
- Wall time: Hooks ON was faster on average (1,673s vs 2,152s OFF)
- Tool calls: Slightly fewer with hooks ON (37.0 vs 40.7 OFF)
Notable Observations
The SessionStart hook significantly increased cache read tokens on the first prompt: 424K with hooks ON versus 195K with hooks OFF (a 117% increase). However, this extra context didn't translate to better output for this particular task. Interestingly, by Prompt 3, hooks OFF actually used more cache reads than hooks ON.
The experiment's repository is available at https://github.com/ej31/omc-hook-experiment.
Developer Takeaways
The developer concluded that dynamic hooks are not a "magic better-code button" for single-session coding tasks, as Claude already performs well with static instructions. Any hook-related gains appear small enough to be drowned out by normal run-to-run variance. The bigger constant overhead might actually come from OMC's static footprint—MCP tool definitions, skills, agent catalog—rather than just dynamic hook behavior.
Importantly, this experiment only tested hook behavior, not whether the broader OMC ecosystem is helpful in larger, multi-session workflows. The developer plans to test further by removing oh-my-claudecode entirely and having Claude build a Snake game from scratch.
📖 Read the full source: r/ClaudeAI
👀 See Also

Text Adventure Game Engine Skill for Claude Desktop
A text adventure game engine runs entirely inside Claude Desktop as a skill with no servers, apps, or code to run. It includes full RPG mechanics, 3D dice rendering, 19 expansion modules, and portable save files.

memv MCP Server: Persistent Structured Memory for AI Agents
memv, an open-source Python memory layer for agents, now ships with an MCP server. It provides five tools for persistent, structured memory with per-user isolation and LLM-optional extraction.

ClawCode: Migrate OpenClaw Agents to Claude Code as a Plugin
ClawCode is a Node.js plugin for Claude Code that imports OpenClaw agents, including IDENTITY, SOUL, memory, skills, and crons from ~/.openclaw/workspace/. It provides SQLite+FTS5 searchable memory, messaging plugins for WhatsApp, Telegram, Discord, iMessage, and Slack, and a nightly 'dream' process for memory consolidation.

Anthropic Launches Claude for Small Business with Pre-Built Workflows for QuickBooks, HubSpot, Canva
Claude for Small Business is a toggle-install package within Claude Cowork that connects to QuickBooks, PayPal, HubSpot, Canva, Docusign, Google Workspace, and Microsoft 365, with 15 ready-to-run agentic workflows for payroll, month-end close, invoicing, campaign management, and more.