Retrieves and groups GitHub code scanning alerts by rule and severity using the gh CLI
npx skills add https://github.com/microsoft/hve-core --skill gh-code-scanning
GitHub code scanning alerts are produced by static analysis tools such as CodeQL and Scorecard and surfaced in the GitHub Security tab. The GitHub Security tab is not accessible through the default MCP toolset, so this skill provides scripts for all read operations.
| Requirement | Details |
|-------------|-------------------------------------------------------------------------|
| pwsh | PowerShell 7+; install from <https://learn.microsoft.com/powershell> |
| gh CLI | Installed and on PATH; install from <https://cli.github.com> |
| Auth | Run gh auth login or set GH_TOKEN; requires security_events scope |
| Scope | security_events for private repos; public_repo for public-only |
The repo scope also satisfies security_events. The gh CLI handles authentication automatically; no explicit token passing is needed in commands.
Get-CodeScanningAlerts.ps1 validates both prerequisites at startup and aborts with a targeted error message if either check fails.
Run this command to get a grouped summary of open code scanning alerts, sorted by frequency. This is the recommended first command when triaging a repository's code scanning posture.
pwsh scripts/Get-CodeScanningAlerts.ps1 -Owner "{owner}" -Repo "{repo}" -OutputFormat Json
This returns a JSON array of alert groups sorted by occurrence count, descending. Always use -OutputFormat Json when consuming results programmatically.
| Parameter | Type | Required | Default | Description |
|-----------------|--------|----------|---------|-----------------------------------------------------------------------------------------------------------------------------|
| -Owner | String | Yes | | GitHub organization or user that owns the repository |
| -Repo | String | Yes | | Repository name |
| -OutputFormat | String | No | Table | Output format: agents must always use Json for programmatic consumption; GroupedJson is accepted as an alias for Json |
| -Branch | String | No | main | Branch to scope alert results |
> These parameters apply to Get-CodeScanningAlerts.ps1. For bash script flags including -s {severity}, see the Script Reference section below.
Groups and sorts open code scanning alerts by occurrence count, descending.
# JSON output for programmatic consumption
pwsh scripts/Get-CodeScanningAlerts.ps1 -Owner "{owner}" -Repo "{repo}" -OutputFormat Json
# Scope to a specific branch
pwsh scripts/Get-CodeScanningAlerts.ps1 -Owner "{owner}" -Repo "{repo}" -Branch "{branch}" -OutputFormat Json
Groups and sorts open code scanning alerts by occurrence count, descending. Requires jq.
# JSON output for programmatic consumption
bash scripts/get-code-scanning-alerts.sh -o "{owner}" -r "{repo}"
# Scope to a specific branch
bash scripts/get-code-scanning-alerts.sh -o "{owner}" -r "{repo}" -b "{branch}"
# Filter by severity
bash scripts/get-code-scanning-alerts.sh -o "{owner}" -r "{repo}" -s critical
Use this skill when the task involves reading code scanning alerts only. Get-CodeScanningAlerts.ps1 is the only supported method for listing and grouping code scanning alerts. gh api must not be used as a fallback for listing or grouping.
When the GitHub MCP server is configured with the code_security toolset, read-only access to code scanning alerts is available without gh api. Enable via toolsets: all or explicit toolset configuration.
Always run with -OutputFormat Json. Parse the JSON output and present it to the user.
pwsh scripts/Get-CodeScanningAlerts.ps1 -Owner "{owner}" -Repo "{repo}" -OutputFormat Json
Use -Branch {branch} to scope to a branch other than main.
-OutputFormat Json returns an array of group objects:
[
{
"RuleDescription": "Empty except",
"RuleId": "py/empty-except",
"Tool": "CodeQL",
"SecuritySeverity": null,
"Severity": "warning",
"Count": 23,
"AffectedPaths": [
"scripts/collections/Get-CollectionItems.py",
"scripts/linting/Validate-MarkdownFrontmatter.py"
],
"HasFilePaths": true,
"AlertUrl": "https://github.com/microsoft/hve-core/security/code-scanning/42",
"FindingDescription": "'except' clause does nothing but pass and there is no explanatory comment."
},
{
"RuleDescription": "Code injection",
"RuleId": "actions/code-injection/medium",
"Tool": "CodeQL",
"SecuritySeverity": "medium",
"Severity": "error",
"Count": 2,
"AffectedPaths": [
".github/workflows/validate.yml"
],
"HasFilePaths": true,
"AlertUrl": "https://github.com/microsoft/hve-core/security/code-scanning/17",
"FindingDescription": "Potential code injection in ${{ inputs.version }}, which may be controlled by an external user."
},
{
"RuleDescription": "Branch-Protection",
"RuleId": "BranchProtectionID",
"Tool": "Scorecard",
"SecuritySeverity": "high",
"Severity": "error",
"Count": 1,
"AffectedPaths": [],
"HasFilePaths": false,
"AlertUrl": "https://github.com/microsoft/hve-core/security/code-scanning/1",
"FindingDescription": "score is 9: branch protection is not maximal on development and all release branches"
}
]
SecuritySeverity is null for code quality rules that have no security classification; Severity (the non-security rule severity: error, warning, note, none) provides a fallback. AffectedPaths is always a JSON array of unique, sorted file paths with sentinel strings filtered out. HasFilePaths is false and AffectedPaths is [] when an alert has no associated source file (for example, BranchProtectionID). AlertUrl links directly to the alert in the GitHub Security tab. FindingDescription is the most recent alert message text.
This call returns one record; it is not a listing or grouping operation and does not conflict with the gh api restriction above.
gh api repos/{owner}/{repo}/code-scanning/alerts/{alert_number}
Use -OutputFormat Json and read the AffectedPaths field from each rule group. The JSON output includes RuleDescription, RuleId, Tool, SecuritySeverity, Severity, Count, AffectedPaths (unique, sorted file paths), HasFilePaths (boolean: false for repo-level rules that have no associated source file), AlertUrl (string: direct link to the alert in the GitHub Security tab), and FindingDescription (string: most recent alert message text from the analysis tool) per group.
These are GitHub API response field paths, not output object properties. The grouped output object field names are listed in the JSON output shape section above.
rule.security_severity_level: security severity tier: critical, high, medium, or low; null for code quality rulesrule.severity: non-security rule severity: error, warning, note, or none; always populatedrule.id: rule identifier used for deduplication and cross-referencingtool.name: analysis tool that produced the alert (for example, CodeQL)most_recent_instance.location.path: source file path of the most recent alert occurrenceThese calls retrieve analysis metadata, not alert listings, and do not conflict with the gh api restriction above.
Returns the last 10 CodeQL runs on the main branch.
gh api repos/{owner}/{repo}/code-scanning/analyses \
-f tool_name=CodeQL \
-f ref=refs/heads/main \
-f per_page=10
created_at: timestamp of the analysis runresults_count: number of alerts producedrules_count: number of rules evaluatedtool.version: version of the analysis toolwarning / error: any issues reported during analysisSearch for an existing issue using the title and an embedded automation marker before creating a new one.
existing=$(gh issue list --repo "{owner}/{repo}" \
--search "\"[Security] {rule_description}\" in:title" \
--state open --json number --jq '.[0].number // empty')
if [[ -z "$existing" ]]; then
gh issue create --repo "{owner}/{repo}" \
--title "[Security] {rule_description}" \
--label "security" \
--body "<!-- automation:security-scan:{rule_id} -->
## Code Scanning Alert: {rule_description}
**Rule:** \`{rule_id}\`
$([ -n "{severity}" ] && echo "**Severity:** {severity}")
**Tool:** {tool}
**Affected files:** {count} occurrences
### Affected paths
{affected_paths}
"
fi
The automation marker <!-- automation:security-scan:{rule_id} --> is embedded in the issue body and serves as the deduplication anchor. Replace all {placeholders} with actual values from the alert-grouping JSON output.
| Symptom | Likely cause | Fix |
|------------------------------------------------------------|------------------------------------------------|---------------------------------------------------------------------------------------------------------------------|
| gh CLI not found. Install it from https://cli.github.com | gh CLI not on PATH | Install from <https://cli.github.com>, then re-open your terminal |
| gh CLI is not authenticated. Run 'gh auth login' | gh auth not completed | Run gh auth login; ensure security_events scope is granted |
| HTTP 403 Resource not accessible by integration | Missing security_events scope on token | Re-authenticate: gh auth refresh -s security_events or set GH_TOKEN with appropriate scope |
| Empty results [] | Wrong ref format or no alerts on that branch | Omit -f ref= to search all branches, or use refs/heads/main format (not just main) |
| bash: jq: command not found | jq not installed | Install via brew install jq (macOS), apt-get install jq (Debian/Ubuntu), or from <https://jqlang.github.io/jq/> |
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take microsoft/gh-code-scanning from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference brew, apt.
Without those the skill loads but fails at the first command.