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How to Configure Claude Code Permissions Without Disabling Security
Claude Code permissions configuration is the process of defining which file paths, shell commands, and network operations an AI coding assistant is authorized to access or execute within your development environment. Getting this right is not optional hygiene — it is the difference between an AI tool that operates within a trusted boundary and one that can read your .env file, exfiltrate tokens, or run destructive commands without a confirmation prompt.
Most teams configure it wrong the first time. Here is how to do it correctly.
Why Developers Reach for Dangerous Mode
Claude Code ships with a flag called dangerouslySkipPermissions. The name is not subtle. Anthropic's own documentation describes it as intended for "headless automation contexts where you trust all operations completely" — not for developer workstations, and certainly not for shared CI pipelines touching production credentials.
Developers enable it because the default permission prompts interrupt flow. You are mid-refactor, Claude asks to run a shell command, you click allow, it asks again thirty seconds later, and after the fifth prompt you decide to skip permissions entirely. That friction is real. But the solution is a proper allow list, not disabling the permission system.
According to GitGuardian's 2024 State of Secrets Sprawl report, the median time between a credential being committed to a public repository and its first unauthorized use is under four minutes. AI coding tools with unrestricted shell and file access expand that exposure surface dramatically — they can read credential files, execute network requests, and write output to locations outside your expected working tree, all in a single automated session. A single misconfigured agentic session is enough.
Building an Effective Allow List for Your Workflow
Claude Code reads its permission configuration from settings.json, typically located at ~/.claude/settings.json for user-level config or .claude/settings.json within a project directory for project-scoped rules. The project-level file takes precedence and is the right place for team-wide policy.
The allow array accepts glob patterns. The default is too permissive for most real workflows. A backend service that only needs to read and write TypeScript source files has no reason to have access to shell commands that touch infrastructure or network operations that reach external endpoints.
A minimal, workflow-specific allow list looks like this:
{
"permissions": {
"allow": [
"Read(src/**)",
"Write(src/**)",
"Read(tests/**)",
"Write(tests/**)",
"Bash(npm run test)",
"Bash(npm run build)",
"Bash(git diff)",
"Bash(git status)"
],
"deny": []
}
}
Notice what is absent: no wildcard Read(**), no Bash(*), no network permissions. Start with the operations your workflow actually requires, then expand only when a specific task demands it. You can review which operations Claude Code exposes — and how to scope them — in the CLaude coe documentation.
For frontend projects, you may need to add Bash(npm run dev) and reads on public/**. For projects that involve database migrations, you might allow a specific migration script command. The point is that every entry in your allow list is a deliberate decision, not a default.
Writing Deny Rules That Block Credential and Network Exposure
Deny rules override allow rules. If a path or command matches both, the deny wins. This makes deny rules the right place for your hard constraints — credential paths, destructive commands, and outbound network operations you never want an AI session to execute.
The most important deny rules to put in place immediately:
-
Credential files:
Read(.env),Read(.env.*),Read(**/.aws/credentials),Read(**/.ssh/*),Read(**/secrets/**)-
Destructive shell commands:
Bash(rm -rf *),Bash(git reset --hard *),Bash(drop *) -
Network operations:
Bash(curl *),Bash(wget *),Bash(fetch *) -
Package publishing:
Bash(npm publish),Bash(git push *)
-
Destructive shell commands:
In 2023, a published security incident involving an LLM-integrated development tool demonstrated how a model with read access to a home directory and write access to shell commands could exfiltrate SSH keys by reading ~/.ssh/id_rsa and embedding the contents into a git commit message. That attack vector is closed by a single deny rule: Read(**/.ssh/*). The overhead of adding it is about ten seconds.
One configuration pattern worth highlighting: deny outbound network commands even when your allow list does not grant them. Allow lists are a whitelist; they prevent unexpected operations. But if a future team member broadens the allow list without realizing the implications, your deny rules provide a second layer. Defense-in-depth applies here the same way it does anywhere else in your security stack.
For teams looking at how this fits into a broader AI security posture, the CLaude coe product overview covers how permission enforcement layers into runtime monitoring and audit logging for agentic AI tools.
Testing and Auditing Before Team Rollout
A permission configuration you have not tested is a guess. Before rolling out a shared settings.json to your team, verify it manually against the operations you actually perform.
The simplest test is manual: run Claude Code with your configuration in a sandboxed working directory and attempt each operation in your workflow. Watch for two outcomes: operations that should succeed and do, and operations that should be blocked and are. If Claude Code asks for confirmation on an operation you intended to allow, your allow list is incomplete. If it executes an operation you intended to block, your deny rule has a path mismatch.
For audit after sessions, Claude Code generates a transcript of every operation executed during a session. Review that transcript before committing to team deployment. Look for any Bash or Read operations that appear outside the scope of the task. If the transcript shows a read on ~/.gitconfig or a shell command you did not expect, trace it back to the allow rule that permitted it and tighten the pattern.
At CLaude coe, we recommend treating your settings.json as a first-class artifact in your repository — versioned, reviewed in pull requests, and owned by a specific person on your security or platform team. AI tool configurations that drift silently are a common root cause of permission creep. Locking the file to explicit review ensures every change is deliberate.
One practical addition to your rollout checklist: run a grep across your project for any .env files, credential directories, or API key patterns before your first Claude Code session. If those files exist in paths your allow list covers, add explicit deny rules before any developer runs a session. Credential exposure from AI sessions most often happens not from an attack, but from an allow scope that was broader than intended.
Frequently Asked Questions
What is the difference between allow and deny lists in Claude Code settings.json?
Allow rules define which file paths, shell commands, and operations Claude Code can execute without prompting for confirmation. Deny rules define hard blocks that override allow rules — if a path or command matches a deny rule, Claude Code will not execute it regardless of what the allow list says. In practice: use allow lists to reduce confirmation prompts for your expected workflow, and use deny rules for credential paths and destructive commands you want to block unconditionally.
What is the safest way to configure Claude Code permissions?
Start with an empty allow list and add only the specific operations your workflow requires. Apply deny rules to credential directories (.env, .aws/credentials, .ssh), destructive shell commands, and outbound network operations. Review the session transcript after each run and tighten any allow rules that permitted unexpected operations. Treat your settings.json as a versioned, reviewed file in your repository rather than a local setting each developer manages independently.
Can I use dangerouslySkipPermissions in production?
No. Anthropic's documentation explicitly scopes dangerouslySkipPermissions to headless automation contexts where every operation is already trusted by design. Using it on a developer workstation with access to environment files and shell removes the permission layer entirely. If you are using it to avoid confirmation prompts, the correct fix is a scoped allow list — not disabling the permission system. The name is a warning, not a suggestion.
How do deny rules interact with allow rules in settings.json?
Deny rules take priority. If a file path or command matches both an allow rule and a deny rule, the deny rule wins. This makes deny rules appropriate for hard security constraints — credential paths you never want read, commands you never want executed. You can add a broad allow rule like Read(src/**) and a specific deny rule like Read(src/secrets/**) without conflict: the deny rule narrows the allow.
Where does Claude Code store its permission config?
Claude Code reads permissions from two locations: ~/.claude/settings.json for user-level defaults that apply across all projects, and .claude/settings.json within a project directory for project-specific overrides. The project-level file takes precedence. For team deployments, commit the project-level file to your repository and manage it through code review like any other configuration artifact.
How do I audit what permissions Claude Code has used?
Claude Code generates a session transcript that logs each operation executed during a session. Review this transcript after test runs before team deployment. Look for any Read, Write, or Bash entries that fall outside the scope of the task. If the transcript shows unexpected operations, trace them to the allow rule that permitted them and tighten the pattern. For ongoing runtime monitoring and audit logging across your team's AI tool usage, see the CLaude coe pricing page for team and enterprise plans that include centralized audit capabilities.
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