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Claude Code plugin security audit: Installation and patch guide

Goon NguyenClaude Code Guides17 min read

Claude Code plugin security audit: Installation, scanning and patch guide

A claude code plugin security audit uses the Claude Security plugin to examine a repository or supported committed changes for potential vulnerabilities. The workflow starts through /claude-security, produces reviewable findings, and can generate patch proposals for selected issues. Findings may be incomplete or incorrect, while patches remain under developer control. Treat the plugin as an additional defense-in-depth layer, not proof that a codebase is secure.

Claude Code plugin security audit: Installation and patch guide

This guide covers:

  • Checking requirements and repository safety
  • Installing and activating the plugin
  • Selecting and running a scan
  • Triaging reports and proposed fixes
  • Applying patches through a controlled Git workflow

Quick start: Run your first audit safely

  • Check Python and Git in your system terminal.

python3 --version
git --version

  • Open Claude Code in the intended repository.
  • Install Claude Security plugin from Anthropic’s official marketplace.

/plugin install claude-security@claude-plugins-official

  • Reload plugins if Claude Code reports that activation is pending.

/reload-plugins

  • Open the security workflow.

/claude-security

  • Run a focused or full scan, based on the security question.
  • Review the generated report before requesting vulnerability remediation patches.
  • Validate and apply accepted patches manually.

git apply --check <patch-file>
git apply <patch-file>

  • Run tests, obtain human approval, and rescan the affected code.
Version note: Availability, commands, menu labels, requirements, and output formats may change. Verify the current workflow in Anthropic’s documentation. Review and test every generated patch before applying it.
Claude Code plugin security audit: Installation and patch guide

1.  Check requirements for the Claude Security plugin

Check each dependency independently before installation. The current documented Claude Security plugin requirements include an eligible paid plan, Python, a supported operating system, and Git for specific workflows.

Run a pre-installation environment check

Run these commands in your system terminal:

python3 --version
git --version

Expected result: The terminal returns an installed Python and Git version without a command-not-found error.

Anthropic currently documents Python 3.9 or later, exposed on PATH as python3. The plugin uses Python’s standard library, so its tooling does not install a separate dependency bundle. If python3 is unavailable, install a supported Python release through the official instructions for your operating system. Restart Claude Code after changing PATH.

The plugin currently supports Linux, macOS, and Windows. It also requires access to dynamic workflows. On eligible Pro plans, Anthropic instructs users to enable them through the Dynamic workflows row in /config.

Requirement

How to verify

Why it matters

Claude Code access

Open a paid Claude Code session

The scan uses dynamic agent workflows

Plugin availability

Check Anthropic’s official listing

Names and availability can change

Python

Run python3 --version

Plugin tooling requires Python 3.9+

Operating system

Confirm Linux, macOS, or Windows

These are the documented platforms

Git

Run git --version

Required for change scans and patch workflows

Repository state

Run git status where applicable

Change scans depend on committed history

Session permissions

Review filesystem, shell, network, and environment access

The plugin operates with current session access

Understand when Git is required

Git requirements vary by workflow:

  • A full scan can operate in a directory with or without version control.
  • Branch, pull request, and commit scans depend on accessible Git history.
  • Change-based scans inspect committed changes, not arbitrary working-tree edits.
  • Patch generation and application require the report to match the relevant committed code.
  • Material changes after a scan can make its findings or proposed patches stale.

Before scanning a branch, commit the intended changes and separate unrelated edits. This creates a reviewable baseline and reduces ambiguity during remediation.

Review permissions before scanning untrusted code

Security warning: The plugin runs within the permissions available to the current Claude Code session. A repository may contain instructions, scripts, configuration, or tooling that creates additional risk.

Before opening unfamiliar code:

  • Use a disposable workspace, container, virtual machine, or comparable sandboxing control.
  • Remove unnecessary API keys, cloud credentials, and production tokens.
  • Restrict filesystem and network access where supported.
  • Inspect repository scripts and configuration before execution.
  • Avoid exposing customer data or private environment variables.
  • Apply least privilege to the Claude Code session.

Isolation reduces exposure but does not guarantee safety.

Claude Code plugin security audit: Installation and patch guide

2.  Install and activate the Claude Security plugin

Install the plugin only from Anthropic’s verified official plugin marketplace. Installation, activation, and functional verification are separate steps.

Install from Anthropic’s official marketplace

  • Open Claude Code in the intended project environment.
  • Run the installation command in the Claude Code slash-command interface.

/plugin install claude-security@claude-plugins-official

Expected result: Claude Code displays the plugin identity and prompts for an installation scope before completing installation.
  • Verify the source is claude-plugins-official.
  • Select an installation scope appropriate for your environment.
  • Review the installation summary for pending activation instructions.

The official source matters because third-party mirrors may contain modified, outdated, or malicious plugin code. Verify the listing through Anthropic’s Claude Security documentation before placing the command into team documentation.

Claude Code plugin security audit: Installation and patch guide

Add the official marketplace if it is missing

If Claude Code reports that claude-plugins-official cannot be found, add Anthropic’s marketplace:

/plugin marketplace add anthropics/claude-plugins-official

Expected result: Claude Code registers the official marketplace, allowing you to retry the installation command.

Symptom

Likely cause

Resolution

Marketplace unavailable

Official marketplace is not registered or accessible

Add or verify the marketplace

Plugin not found

Typo or changed listing

Check the current official plugin name

Python warning

Missing or unsupported Python

Correct python3 and restart the session

Command unavailable after installation

Reload or activation remains pending

Follow the installation summary

Permission error

Installation scope or filesystem restrictions

Review system and Claude Code permissions

Treat these as likely explanations rather than universal causes. Use the reported error and current documentation as the final authority.

Activate and verify the plugin

If the installation summary reports that a reload is required, run:

/reload-plugins

Expected result: Claude Code activates the pending plugin change without requiring a complete restart.

Then verify functional access:

/claude-security

Expected result: Claude Code opens the installed security workflow. Available labels may vary by plugin version.

Uninstall the plugin

Remove the plugin through Claude Code’s /plugin manager or run the documented terminal command:

claude plugin uninstall claude-security

Expected result: Claude Code removes the installed plugin from the selected scope.

3.  Run a Claude Code security audit

To run a Claude Code security audit, open /claude-security and select the smallest supported scope that answers your security question. Broader scanning can improve coverage, but it usually consumes more time and plan usage.

Run the first scan from the plugin menu

  • Open the repository in Claude Code.
  • Confirm the active branch and run git status where applicable.
  • Run the workflow entry point.

/claude-security

Expected result: The plugin presents the currently supported scanning and patch workflows.
  • Choose a scan workflow.
  • Select the repository or focused scope.
  • Review any requested actions or permissions.
  • Confirm the scan.
  • Keep Claude Code open while the scan completes, if instructed.
  • Open the generated results from the timestamped output directory.

The scan runs within your local Claude Code session and uses models available through your current plan. Each run counts against applicable usage limits.

Choose the correct scan scope

Scan scope

Best used when

Main consideration

Entire repository

Creating an initial security baseline

Broader but potentially slower and more usage-intensive

Focused component

Reviewing authentication, API, billing, or data-access code

Faster, but does not establish complete coverage

Branch diff

Reviewing committed feature-branch changes

Depends on the base comparison and Git history

Pull request diff

Assessing a defined proposed change

Requires accessible pull request and Git context

Single commit

Reviewing an isolated hotfix or change

May miss surrounding architectural weaknesses

A full scan is not always the best first choice. In a large monorepo, begin with the component connected to the current risk or release decision.

Claude Code plugin security audit: Installation and patch guide

Run a change-based scan

The plugin accepts direct requests through the command workflow or natural-language instructions. Examples include:

  • “Scan the committed changes on this branch.”
  • “Review the security impact of commit <commit>.”
  • “Audit the authentication changes in this pull request.”

These are request examples, not a fixed command-line API. Interpretation may vary by version and repository context.

For a reliable scan branch diff workflow:

  • Confirm the correct base revision.
  • Commit the relevant changes before scanning.
  • Separate unrelated working-tree edits.
  • Verify that the intended pull request or commit is accessible.
  • Record the scanned revision for later patch validation.

A change scan can miss vulnerabilities created by surrounding architecture. For example, a safe-looking authorization helper may still be misused elsewhere.

Scope large repositories by risk

When you scan codebase with Claude Code, prioritize areas that handle sensitive access or untrusted data:

  1. Authentication
  2. Authorization and tenant boundaries
  3. Public APIs
  4. Administrative functions
  5. Database query construction
  6. File upload and parsing
  7. Secrets and cryptographic handling
  8. Payment or billing logic
  9. Cross-tenant data access

This sequence is a practical starting point, not a universal ranking. Adjust it according to data sensitivity, internet exposure, user privileges, and business impact.

4.  Read and prioritize the scan results

A Claude Security report should be treated as an investigation queue, not a final vulnerability verdict. Verify the report format, scanned revision, and code state before acting on any finding.

Identify the generated files

Current scans write results into a timestamped CLAUDE-SECURITY-<timestamp>/ directory.

Output

Purpose

Typical user

CLAUDE-SECURITY-RESULTS.md

Human-readable findings and recommendations

Developers and engineering leads

CLAUDE-SECURITY-RESULTS.jsonl

Structured JSONL findings

Automation and tooling teams

CLAUDE-SECURITY-RESULTS.sarif

Security-analysis interchange output

CI and security platforms

CLAUDE-SECURITY-REVISION-<commit>.json

Records the scanned revision

Reviewers and audit workflows

patches/

Stores generated patch proposals

Developers managing remediation

Claude Code plugin security audit: Installation and patch guide

Understand severity, confidence and exploit context

Finding confidence describes the strength of evidence supporting a reported weakness. It does not measure business impact or prove that an attacker can exploit the issue. Review confidence alongside reachability, exposure, existing controls, and the affected system’s role.

  • Severity: Potential impact if the weakness is exploitable.
  • Confidence: Strength of evidence supporting the finding.
  • Exploit scenario: A proposed path through which an attacker could abuse the issue.
  • Reachability: Whether an attacker can practically access the vulnerable path.
  • Exploitability: The effort and conditions required to abuse the weakness.
  • CWE: A Common Weakness Enumeration category, when provided.

MITRE’s CWE reference can clarify the weakness category. It does not validate whether the specific finding is reachable.

Severity is not exploitability. A critical rating may describe serious theoretical impact while compensating controls prevent practical access.

Apply a six-factor finding triage framework

Prioritize each finding using six factors:

  1. Reachability: Can an attacker reach the affected path?
  2. Business impact: What data, service, or privilege is at risk?
  3. Exploitability: How difficult is practical abuse?
  4. Confidence: How strong is the supporting evidence?
  5. Exposure: Is the code public, internal, privileged, or isolated?
  6. Compensating controls: Do existing controls reduce practical risk?

Finding profile

Recommended action

Reachable, high-impact, externally exposed

Validate and prioritize immediate remediation

High severity, low confidence

Investigate before changing code

High confidence, low business impact

Schedule according to engineering risk

Protected by effective controls

Document residual risk and verify the controls

No longer matches current code

Rescan before remediation

A useful triage process can still produce the wrong decision if ownership is unclear. Assign each accepted finding to a developer or security owner and record deferred or accepted risk.

Confirm the report still matches the code

Before generating a patch:

  • Confirm the scanned commit or revision.
  • Compare the report timestamp with later code changes.
  • Isolate unrelated modifications.
  • Rescan if the affected code changed materially.

AI-generated findings can include false positives and false negatives. A focused or clean scan does not establish complete repository security.

5.  Generate, review and apply security patches safely

Claude security patches are proposed code changes, not trusted fixes. Generate them only for validated findings, inspect the complete diff, and keep application under human control.

Generate patches for selected findings

  • Verify the report revision.
  • Open the plugin workflow.

/claude-security

  • Select the documented patch-suggestion workflow.
  • Choose only findings that have completed triage.
  • Generate the vulnerability remediation patches.
  • Locate the resulting patch files.
  • Review any generation errors or unsupported findings.
Expected result: The plugin writes patch proposals for review. It does not apply them automatically.

Review a patch before applying it

Check each proposed change:

  • Does it address the reported root cause?
  • Does it preserve authentication and authorization boundaries?
  • Is untrusted input validated at the correct layer?
  • Could it introduce a bypass, regression, or fail-open condition?
  • Does it change error handling or security logging?
  • Does it add dependencies or configuration changes?
  • Could it expose credentials or sensitive data?
  • Are tests included for the vulnerable path?
  • Does the change require a second security reviewer?

A patch that applies cleanly can still be unsafe.

Apply the patch manually

Create a dedicated branch and validate the patch structure:

git switch -c security/fix-<finding-id>
git apply --check <patch-file>
git apply <patch-file>
git diff

Expected result: git apply --check confirms whether Git can apply the patch without modifying the working tree. It does not verify security correctness.

After manual patch application:

  1. Review the complete diff.
  2. Run formatting and linting.
  3. Run unit and integration tests.
  4. Run existing SAST, SCA, and secret-scanning controls.
  5. Open a focused pull request.
  6. Obtain human approval.
  7. Preserve a rollback path.

Refer to the Git documentation for applying patches for current options and behavior.

Rescan after remediation

Scan the component or committed change after remediation. Confirm the original path is addressed and check for newly introduced findings.

A clean rescan indicates that the workflow did not report another issue in that run. It does not prove the remediation is complete or the application is secure.

Claude Code plugin security audit: Installation and patch guide

6.  Choose the right Claude Code security review option

The Claude Security plugin supports deeper, on-demand investigation across documented repository or change scopes. /security-review provides a more direct security review for routine development changes. Neither option is universally better, and both should complement deterministic scanners, CI controls, and human AppSec review.

Claude Code security tool selection matrix

Tool or layer

Best use case

Typical trigger

Scope

Output

Main limitation

Claude Security plugin

Deeper vulnerability investigation

Manual

Repository or supported committed changes

Findings and optional patch proposals

Variable output; human validation required

/security-review

Routine security review during development

Manual

Current documented review scope

Security feedback

Less suited to broad repository investigation

Claude Code Review

General pull-request review

Pull request

PR diff

Review comments

Security is one part of broader review

CI review

Repeatable merge checks

Push or PR event

Configured jobs and changed code

Status checks or comments

Quality depends on configuration

SAST

Repeatable code-pattern or data-flow analysis

Local or CI

Supported source code

Deterministic findings

May miss contextual business-logic flaws

SCA

Known dependency vulnerability detection

Local or CI

Manifests and lockfiles

Package and vulnerability records

Does not assess custom business logic

Secret scanning

Credential and token detection

Local, pre-commit, or CI

Repository content and history

Secret alerts

Cannot validate every access-control flaw

Penetration testing

Runtime exploit validation

Scheduled or pre-release

Deployed system

Validated attack paths

Limited test window and higher cost

  • SAST (Static Application Security Testing) evaluates source code using repeatable rules or data-flow analysis.
  • SCA (Software Composition Analysis) checks third-party packages against known vulnerability data.
  • DAST (Dynamic Application Security Testing) evaluates a running application from the outside. It addresses a different security question than source-code review.

Anthropic also documents automated /security-review usage and GitHub Actions workflows in its Claude Code security review guidance.

Use a defense-in-depth workflow

  1. Apply secure coding guidance during implementation.
  2. Review routine changes with /security-review or Code Review.
  3. Use /claude-security for deeper or high-risk investigation.
  4. Run SAST, secret scanning, and SCA in CI.
  5. Conduct architecture and manual AppSec review for critical systems.
  6. Use DAST or penetration testing when runtime validation is required.
  7. Require human approval before merging generated fixes.

This defense-in-depth model combines contextual reasoning with repeatable controls. It also prevents teams from relying on one tool’s blind spots.

Know the plugin’s operational limits

  • Findings may differ between runs.
  • A finding may be incorrect, incomplete, or no longer relevant.
  • Scan output does not prove exploitability.
  • Large repositories may require focused scopes.
  • Focused scans do not demonstrate full-codebase coverage.
  • Dependency vulnerabilities still require SCA.
  • Runtime vulnerabilities may require DAST or penetration testing.
  • Generated patches require review and testing.
  • Material code changes can make an earlier report stale.
  • Session permissions determine what the workflow can access.
  • Requirements and supported behavior may change.

The practical question in Claude Security vs security review is not which tool replaces the other. It is which review depth matches the change, followed by which conventional controls validate the result.

Build a controlled, layered Claude Code security workflow

A reliable Claude Code security audit starts by verifying the environment, repository state, and session permissions. Install the Claude Security plugin from Anthropic’s official source, activate it, and select the smallest scan scope that answers the security question. Triage findings using reachability, impact, exploitability, confidence, exposure, and compensating controls.

Generate patches only for validated findings. Review and test every change on a dedicated branch, obtain human approval, and rescan before merging. Continue using SAST, SCA, secret scanning, CI policies, and manual review throughout vulnerability remediation.

A clean scan does not prove security, and version-sensitive commands should always be rechecked. Use AgentKit when your team needs a reusable workflow that preserves explicit control over findings, patches, tests, and approvals.

Frequently asked questions

What is the Claude Security plugin?

The Claude Security plugin is a tool for Claude Code that runs a multi-agent vulnerability scan locally within your development session. It identifies security issues in your repository and generates remediation patches that you can review, test, and apply manually.

How does the Claude Security plugin identify vulnerabilities?

The plugin orchestrates subagents to map your repository architecture, build threat models, and conduct adversarial verification. It uses a 2-of-3 quorum panel to validate candidate findings for reachability, impact, and existing defenses before including them in the final security report.

Are Claude Security patches applied automatically?

No. Patches are never applied automatically. After the plugin generates a patch, you must review the diff, run your project’s test suite, and manually apply the patch using git apply. This ensures you maintain full control over your codebase.

Can the Claude Security plugin scan my entire repository?

Yes. The plugin offers multiple scan scopes, including a full repository scan, focused scans for specific directories or components, and change-based scans for branches, pull requests, or single commits. For large monorepos, focused scans are recommended for better performance.

Is the Claude Security plugin a replacement for traditional security tools?

No. It is an on-demand, deep-scan layer designed to complement existing practices. It should be used alongside other controls, including Software Composition Analysis (SCA), Static Application Security Testing (SAST), manual code reviews, and penetration testing to ensure a robust defense-in-depth strategy.

What are the system requirements for running the plugin?

To run the plugin, you need a paid Claude plan, Claude Code v2.1.154 or later, Python 3.9+, and Git. Anthropic recommends using a sandboxed runtime when scanning unfamiliar or untrusted codebases to ensure environment isolation during the analysis.

How do I troubleshoot installation issues?

If an installation fails, verify your Python version and ensure the official marketplace is added via /plugin marketplace add anthropics/claude-plugins-official. If the plugin is installed but inactive, run /reload-plugins to initialize the workflow in your current session.

Read more:

Conclusion

In conclusion, the Claude Security plugin offers a powerful, context-aware layer for deep vulnerability analysis and patch generation, but it should be embraced as an enhancement for traditional security practices. Achieving a resilient security posture requires treating AI findings as an investigation queue, rigorously triaging candidate vulnerabilities, and testing all proposed patches through a human-controlled Git workflow.

By combining the plugin's multi-agent scans with deterministic SAST, SCA, CI/CD controls, and expert human review, development teams can safely accelerate security audits without compromising codebase integrity.

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