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A Claude Code harness is the surrounding setup that shapes what the coding agent knows, can access, may do, and how its work can be inspected. A useful way to organize that setup is across five layers: memory, tools, permissions, hooks, and observability. This is an editorial framework, not an official Anthropic architecture; Anthropic documents these capabilities individually rather than defining a canonical five-layer model.
What is a Claude Code harness?
Claude Code is an agentic coding tool that can read a codebase, edit files, run commands, and integrate with development tools. It is available through several surfaces, including the terminal, IDE, desktop, and browser. The harness is the context and surrounding configuration that shapes how it performs a task in one of those environments.
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The five-layer model is useful because it separates different jobs: memory supplies context, tools add capabilities, permissions govern access, hooks provide runtime behavior, and observability helps people inspect activity. It is a simplification rather than an exhaustive map of Claude Code. Anthropic’s overview also covers skills and multiple agents, which can support particular workflows without fitting neatly into just one of these five categories. See the Claude Code overview.
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Memory is the context layer: instructions and notes that can help Claude follow project conventions or remember useful information. Anthropic documents both persistent instruction files such as CLAUDE.md and AGENTS.md, and auto memory, where Claude records notes from corrections and preferences. The mechanisms are related, but not interchangeable; see the memory documentation.
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The critical limit is that instructions and auto memory are context, not enforced configuration. They can guide Claude, but they do not by themselves guarantee that a command will be blocked or a rule followed. Put concise, durable project guidance in instruction files; treat remembered preferences as helpful context, not a security boundary.
- Use project instructions for conventions that apply repeatedly, such as how to run tests or where specific code belongs.
- Keep guidance focused on information Claude needs across tasks rather than duplicating every task-specific request.
- When a requirement must prevent an action irrespective of Claude’s judgment, use an appropriate control rather than relying on a sentence in an instruction file.
How do MCP tools fit with permissions?
Tools change what Claude can do or what information it can reach. Anthropic describes the Model Context Protocol (MCP) as an open standard for connecting AI tools to external data sources, and Claude Code has a dedicated MCP setup guide. An MCP connection can add reach or capability; it is not itself a permission policy.
Permissions are a separate concern: they govern authorization and access. Configure them using Claude Code’s settings reference and security guidance. In practice, ask two distinct questions: which tools and data sources are connected, and what actions are authorized? A tool being available does not answer the second question.
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|---|---|---|
| Tools, including MCP | Available capabilities or access to external data | That the intended integration is connected and appropriate for the task |
| Permissions and settings | Which actions or resources are authorized | That configured access matches the intended scope |
What can hooks enforce?
Hooks are runtime mechanisms that let a setup respond around tool use. The most important distinction is between advice and an action control: Anthropic’s memory guide points to a PreToolUse hook as the route to block an action regardless of what Claude decides. That makes a hook more appropriate than an instruction when a specific action must be stopped.
Do not treat the word “hook” as a blanket safety guarantee. The documented distinction supports using a suitable hook for a defined control; it does not establish that every hook is unbypassable or that hooks alone solve safety. Review Anthropic’s hooks reference for supported behavior and configuration details.
How can you inspect agent behavior?
Observability is the visibility layer: ways to review what happened during a session and understand the agent’s activity. The Claude Code overview and documentation provide the appropriate starting point for documented usage and inspection features, but the available evidence does not establish a complete, universal observability recipe or a particular set of cost metrics.
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For a practical review, use the documented session or inspection features available in your Claude Code surface, and check whether the activity you care about is actually recorded. Avoid assuming that a connected tool, a configured permission, or a hook automatically provides a complete audit trail. The exact visibility can depend on the surface and configured features.
Where do skills and agents fit?
Skills and multiple agents are additional workflow surfaces in Anthropic’s documentation. A skill can package repeatable guidance or task behavior; agents can be used where work benefits from delegated or distinct roles. They may interact with memory, tools, permissions, hooks, or visibility, but forcing them into one of the five layers can obscure what they actually do. Choose them for the workflow need, then separately consider what context, capabilities, authorization, runtime behavior, and inspection that workflow requires.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should you improve an existing setup?
Start with a specific failure or friction point rather than adding configuration everywhere. Classify the problem by what needs to change, then make the smallest relevant adjustment and verify that it is active.
- For inconsistent project conventions: review the project’s persistent instructions and memory; add concise guidance that will matter across tasks.
- For missing information or actions: identify the needed capability or external data source, then configure an appropriate tool integration such as MCP.
- For excessive or insufficient access: review permissions and settings independently of the connected tools.
- For an action that must be stopped: use a documented runtime control such as an applicable
PreToolUsehook, rather than relying only on contextual instructions. - For uncertainty about what occurred: consult the inspection and session features documented for the Claude Code surface in use; do not assume complete logging without verifying it.
- For a repeatable multi-step workflow: consider whether a skill or multiple agents are a better fit than expanding the project’s general instructions.
For each change, ask whether it changes context, capability, authorization, runtime behavior, or visibility; whether it advises Claude or controls an action outside model judgment; what scope it applies to; what maintenance it adds; and how you will verify it works. Anthropic’s official documentation supports the underlying components, but does not establish this sequence as a required setup order or promise a performance gain from adopting the framework.
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