Secret Scanning
GitHubOfficialFirst committed by VeVarunSharmaDistributed by GitHub
- Skill
- Tool integration
- Security
- MIT
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a comprehensive guide to GitHub's secret scanning features. It covers the configuration of repository-level secret protection, the implementation of push protection to block secrets before they are committed, and the creation of custom regex patterns to detect organization-specific secrets. It also details alert remediation workflows, including validity checks and metadata analysis, to help teams prioritize and resolve security incidents effectively.
What it does
- Enables secret scanning and push protection for repositories and organizations.
- Defines custom secret patterns using regular expressions with dry-run capabilities.
- Provides workflows for triaging, dismissing, and remediating detected secret alerts.
- Supports validity checks to determine if a leaked secret is active or inactive.
- Integrates with AI coding agents via the Advanced Security plugin for pre-commit scanning.
- Configures exclusions to reduce noise in secret scanning results.
When to use it
- When you need to secure a repository against accidental credential exposure.
- When you want to block developers from pushing secrets to your codebase.
- When you need to detect proprietary or custom secret formats.
- When you are triaging existing secret scanning alerts and need to determine their validity.
- When you want to automate pre-commit secret checks within an AI coding agent environment.
Advantages
- Prevents secrets from entering the Git history through proactive push protection.
- Reduces alert fatigue by validating the status of detected secrets.
- Provides deep visibility into secret ownership and scope via extended metadata.
- Allows for flexible, scalable security policies across repositories, organizations, and enterprises.
Usage examples
- “How do I enable push protection for my repository?”
- The agent will guide you to Settings > Advanced Security and instruct you to enable 'Push protection' under the Secret Protection section.
- “I need to detect a specific internal API key format. How do I add a custom pattern?”
- The agent will explain how to navigate to the Custom patterns section, define your regex, perform a dry run to check for false positives, and publish the pattern.
- “How can I check if a detected secret is actually active?”
- The agent will explain how to enable validity checks in your settings, which allows GitHub to periodically test the secret against provider APIs and report its status.
- “How do I scan my local code for secrets before I commit?”
- The agent will provide instructions to install the advanced-security plugin and use the /secret-scanning command within your AI coding agent.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/github/secret-scanning/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip secret-scanning.zip -d .agents/skills
Documentation by VeVarunSharma
Secret Scanning
This skill provides procedural guidance for configuring GitHub secret scanning — detecting leaked credentials, preventing secret pushes, defining custom patterns, and managing alerts.
When to Use This Skill
Use this skill when the request involves:
Enabling or configuring secret scanning for a repository or organization
Setting up push protection to block secrets before they reach the repository
Defining custom secret patterns with regular expressions
Resolving a blocked push from the command line
Triaging, dismissing, or remediating secret scanning alerts
Configuring delegated bypass for push protection
Excluding directories from secret scanning via
secret_scanning.ymlUnderstanding alert types (user, partner, push protection)
Enabling validity checks or extended metadata checks
Scanning local code changes for secrets before committing (via MCP / AI coding agent) — see the Pre-Commit Scanning via AI Coding Agents section below for the recommended plugin
How Secret Scanning Works
Secret scanning automatically detects exposed credentials across:
Entire Git history on all branches
Issue descriptions, comments, and titles (open and closed)
Pull request titles, descriptions, and comments
GitHub Discussions titles, descriptions, and comments
Wikis and secret gists
Availability
| Repository Type | Availability |
|---|---|
| Public repos | Automatic, free |
| Private/internal (org-owned) | Requires GitHub Secret Protection on Team/Enterprise Cloud |
| User-owned | Enterprise Cloud with Enterprise Managed Users |
Core Workflow — Enable Secret Scanning
Step 1: Enable Secret Protection
Navigate to repository Settings → Advanced Security
Click Enable next to "Secret Protection"
Confirm by clicking Enable Secret Protection
For organizations, use security configurations to enable at scale:
Settings → Advanced Security → Global settings → Security configurations
Step 2: Enable Push Protection
Push protection blocks secrets during the push process — before they reach the repository.
Navigate to repository Settings → Advanced Security
Enable "Push protection" under Secret Protection
Push protection blocks secrets in:
Command line pushes
GitHub UI commits
File uploads
REST API requests
REST API content creation endpoints
Step 3: Configure Exclusions (Optional)
Create .github/secret_scanning.yml to auto-close alerts for specific directories:
paths-ignore:
- "docs/**"
- "test/fixtures/**"
- "**/*.example"Limits:
Maximum 1,000 entries in
paths-ignoreFile must be under 1 MB
Excluded paths also skip push protection checks
Best practices:
Be as specific as possible with exclusion paths
Add comments explaining why each path is excluded
Review exclusions periodically — remove stale entries
Inform the security team about exclusions
Step 4: Enable Additional Features (Optional)
Non-provider patterns — detect private keys, connection strings, generic API keys:
Settings → Advanced Security → enable "Scan for non-provider patterns"
AI-powered generic secret detection — uses Copilot to detect unstructured secrets like passwords:
Settings → Advanced Security → enable "Use AI detection"
Validity checks — verify if detected secrets are still active:
Settings → Advanced Security → enable "Validity checks"
GitHub periodically tests detected credentials against provider APIs
Status shown in alert:
active,inactive, orunknown
Extended metadata checks — additional context about who owns a secret:
Requires validity checks to be enabled first
Helps prioritize remediation and identify responsible teams
Core Workflow — Resolve Blocked Pushes
When push protection blocks a push from the command line:
Option A: Remove the Secret
If the secret is in the latest commit:
# Remove the secret from the file
# Then amend the commit
git commit --amend --all
git pushIf the secret is in an earlier commit:
# Find the earliest commit containing the secret
git log
# Start interactive rebase before that commit
git rebase -i <COMMIT-ID>~1
# Change 'pick' to 'edit' for the offending commit
# Remove the secret, then:
git add .
git commit --amend
git rebase --continue
git pushOption B: Bypass Push Protection
Visit the URL returned in the push error message (as the same user)
Select a bypass reason:
It's used in tests — alert created and auto-closed
It's a false positive — alert created and auto-closed
I'll fix it later — open alert created
Click Allow me to push this secret
Re-push within 3 hours
Option C: Request Bypass Privileges
If delegated bypass is enabled and you lack bypass privileges:
Visit the URL from the push error
Add a comment explaining why the secret is safe
Click Submit request
Wait for email notification of approval/denial
If approved, push the commit; if denied, remove the secret
For detailed bypass and delegated bypass workflows, search
references/push-protection.md.
Custom Patterns
Define organization-specific secret patterns using regular expressions.
Quick Setup
Settings → Advanced Security → Custom patterns → New pattern
Enter pattern name and regex for secret format
Add a sample test string
Click Save and dry run to test (up to 1,000 results)
Review results for false positives
Click Publish pattern
Optionally enable push protection for the pattern
Scopes
Custom patterns can be defined at:
Repository level — applies to that repo only
Organization level — applies to all repos with secret scanning enabled
Enterprise level — applies across all organizations
Copilot-Assisted Pattern Generation
Use Copilot secret scanning to generate regex from a text description of the secret type, including optional example strings.
For detailed custom pattern configuration, search
references/custom-patterns.md.
Alert Management
Alert Types
| Type | Description | Visibility |
|---|---|---|
| User alerts | Secrets found in repository | Security tab |
| Push protection alerts | Secrets pushed via bypass | Security tab (filter: bypassed: true) |
| Partner alerts | Secrets reported to provider | Not shown in repo (provider-only) |
Alert Lists
Default alerts — supported provider patterns and custom patterns
Generic alerts — non-provider patterns and AI-detected secrets (limited to 5,000 per repo)
Remediation Priority
Rotate the credential immediately — this is the critical action
Review the alert for context (location, commit, author)
Check validity status:
active(urgent),inactive(lower priority),unknownRemove from Git history if needed (time-intensive, often unnecessary after rotation)
Dismissing Alerts
Dismiss with a documented reason:
False positive — detected string is not a real secret
Revoked — credential has already been revoked
Used in tests — secret is only in test code
For detailed alert types, validity checks, and REST API, search
references/alerts-and-remediation.md.
Pre-Commit Scanning via AI Coding Agents
For scanning code changes for secrets inside an AI coding agent before committing, install the Advanced Security plugin which provides the run_secret_scanning MCP tool and a dedicated scanning skill.
GitHub Copilot CLI:
/plugin install advanced-security@copilot-pluginsVisual Studio Code:
In Copilot Chat, open Chat: Plugins (or use
@agentPlugins) and install theadvanced-securitypluginThen run
/secret-scanningin Copilot Chat
See: Advanced Security Plugin — Secret Scanning Skill
Announced in Secret scanning in AI coding agents via the GitHub MCP Server (March 2026)
Reference Files
For detailed documentation, load the following reference files as needed:
references/push-protection.md— Push protection mechanics, bypass workflow, delegated bypass, user push protectionSearch patterns:
bypass,delegated,bypass request,command line,REST API,user push protection
references/custom-patterns.md— Custom pattern creation, regex syntax, dry runs, Copilot regex generation, scopesSearch patterns:
custom pattern,regex,dry run,publish,organization,enterprise,Copilot
references/alerts-and-remediation.md— Alert types, validity checks, extended metadata, generic alerts, secret removal, REST APISearch patterns:
user alert,partner alert,validity,metadata,generic,remediation,git history,REST API
Files
- ATTRIBUTION.mdAdded by AutoGineer873 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md9.4 KiB
- references/alerts-and-remediation.md7.3 KiB
- references/custom-patterns.md5.5 KiB
- references/push-protection.md5.9 KiB
references/custom-patterns.md
Custom Patterns Reference
Detailed reference for defining custom secret scanning patterns using regular expressions at the repository, organization, and enterprise level.
Overview
Custom patterns extend secret scanning to detect organization-specific secrets not covered by default patterns. They are defined as regular expressions and can optionally enforce push protection.
Pattern Definition
Required Fields
| Field | Description |
|---|---|
| Pattern name | Human-readable name for the pattern |
| Secret format | Regular expression matching the secret |
Optional Fields (via "More options")
| Field | Description |
|---|---|
| Before secret | Regex for content that must appear before the secret |
| After secret | Regex for content that must appear after the secret |
| Additional match requirements | Extra constraints on the match |
| Sample test string | Example string to validate the regex |
Regex Syntax
Custom patterns use standard regular expressions. Common patterns:
# API key with prefix
MYAPP_[A-Za-z0-9]{32}
# Connection string
Server=[\w.]+;Database=\w+;User Id=\w+;Password=[^;]+
# Internal token format
myorg-token-[a-f0-9]{64}
# JWT-like pattern
eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+Use filter patterns similar to GitHub Actions workflow syntax for glob-style matching in before/after fields.
Defining Patterns by Scope
Repository Level
Repository Settings → Advanced Security
Under "Secret Protection" → Custom patterns → New pattern
Enter pattern name, regex, and optional fields
Save and dry run to test
Review results (up to 1,000 matches)
Publish pattern when satisfied
Optionally enable push protection
Prerequisite: Secret Protection must be enabled on the repository.
Organization Level
Organization Settings → Advanced Security → Global settings
Under "Custom patterns" → New pattern
Enter pattern details
Save and dry run — select repositories for testing:
All repositories in the organization, or
Up to 10 selected repositories
Publish pattern when satisfied
Optionally enable push protection
Notes:
Push protection for org-level custom patterns only applies to repos with push protection enabled
Organization owners and repo admins receive alerts
Enterprise Level
Enterprise settings → Policies → Advanced Security → Security features
Under "Secret scanning custom patterns" → New pattern
Enter pattern details
Save and dry run — select up to 10 repositories
Publish pattern when satisfied
Optionally enable push protection
Notes:
Only the pattern creator can edit or dry-run enterprise-level patterns
Dry runs require admin access to the selected repositories
Push protection requires enterprise-level secret scanning push protection to be enabled
Dry Run Process
Dry runs test patterns against repository content without creating alerts.
Click Save and dry run after defining the pattern
Select target repositories (org/enterprise level)
Click Run
Review up to 1,000 sample results
Identify false positives
Edit pattern and re-run if needed
Publish pattern only when false positive rate is acceptable
Dry runs are essential — always test before publishing to avoid alert noise.
Managing Published Patterns
Editing Patterns
After publishing, patterns can be edited:
Navigate to the custom pattern
Modify the regex or optional fields
Save and dry run to validate changes
Publish the updated pattern
Enabling Push Protection
Push protection can only be enabled after a pattern is published:
Navigate to the published pattern
Click Enable next to push protection
Caution: Enabling push protection for commonly found patterns can disrupt contributor workflows.
Disabling or Deleting Patterns
Disable: stops new alert generation but retains existing alerts
Delete: removes the pattern and stops all scanning for it
Copilot-Assisted Pattern Generation
Use Copilot secret scanning to generate regex automatically:
Navigate to custom pattern creation
Select "Generate with Copilot" (if available)
Provide a text description of the secret type (e.g., "internal API key starting with MYORG_ followed by 40 hex characters")
Optionally provide example strings that should match
Copilot generates a regex pattern
Review and refine the generated regex
Test with dry run before publishing
Pattern Inheritance
| Scope | Applies To |
|---|---|
| Repository | That repository only |
| Organization | All repos in the org with secret scanning enabled |
| Enterprise | All repos across all orgs with secret scanning enabled |
Organization and enterprise patterns automatically apply to new repositories when secret scanning is enabled.
Best Practices
Always dry run before publishing — review for false positives
Start specific — narrow regexes reduce false positives
Use before/after context — adds precision without overly complex regex
Test with real examples — include sample strings that should and shouldn't match
Document patterns — name patterns clearly so teams understand what they detect
Review periodically — remove or update patterns that no longer apply
Be cautious with push protection — enable only for patterns with low false positive rates
Consider Copilot — let AI generate the initial regex, then refine manually
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server, Needs an API key, Needs a command-line tool
Security
What our scanner noticed· Low risk
- Instructions that use the network
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- First committed by
VeVarunSharma
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/secret-scanning · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- VeVarunSharma, felickz
AutoGineer is not affiliated with or endorsed by VeVarunSharma or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download secret-scanning.zip