[TT-15111] Added visor code review

[lghiur]

No description provided.

[probelabs]

🔍 Code Analysis Results

Pull Request Analysis: TT-15111 Added visor code review

This pull request introduces an automated code review and analysis tool, "Visor," by adding a new GitHub Actions workflow.

---

1. Change Impact Analysis

What this PR accomplishes

This PR integrates the probelabs/visor GitHub Action into the repository's CI/CD pipeline. The goal is to automate parts of the development lifecycle by providing automated feedback and analysis on pull requests, issues, and issue comments. This enhances the development workflow by adding a layer of automated quality control and analysis.

Key Technical Changes

The sole change is the addition of the .github/workflows/visor.yaml file, which defines a new GitHub workflow with the following characteristics:

• Triggers: The workflow is configured to run on several repository events:
  • When a pull request is opened or updated (synchronize).
  • When a new issue is opened.
  • When a new comment is created on an issue.
• Permissions: The workflow is granted write permissions for pull requests, issues, and checks, allowing it to post comments, update statuses, and interact with repository events.
• Core Action: The workflow's main step executes the probelabs/visor@main action.
• Authentication & Dependencies:
  • The action authenticates using GitHub App credentials stored in secrets (PROBE_APP_ID, PROBE_APP_PRIVATE_KEY, PROBE_APP_INSTALLATION_ID). This allows it to perform actions on behalf of an application.
  • It also utilizes a GOOGLE_API_KEY, suggesting a dependency on Google Cloud services, likely for AI-powered analysis.

+name: Visor
+
+on:
+  pull_request:
+    types: [opened, synchronize]
+  issues:
+    types: [opened]
+  issue_comment:
+    types: [created]
+
+permissions:
+  contents: read
+  pull-requests: write
+  issues: write
+  checks: write
+
+jobs:
+  visor:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+      - uses: probelabs/visor@main
+        with:
+          app-id: ${{ secrets.PROBE_APP_ID }}
+          private-key: ${{ secrets.PROBE_APP_PRIVATE_KEY }}
+          installation-id: ${{ secrets.PROBE_APP_INSTALLATION_ID }}
+        env:
+          GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}

Affected System Components

• CI/CD Pipeline: A new automated job is added to the pipeline, which will consume runner minutes and execute on the specified triggers.
• Development Workflow: Developers will see feedback from the Visor tool directly in pull requests and issues, changing how they interact with the review process.
• Repository Security: The workflow relies on several sensitive secrets. The security of the probelabs/visor action and the management of these secrets are critical.

---

2. Architecture Visualization

The following sequence diagram illustrates the flow of the new "Visor" workflow, from user action to automated feedback.

sequenceDiagram
    participant User
    participant GitHub
    participant GitHub Actions Runner
    participant Visor Action (probelabs/visor)
    participant Google Cloud

    User->>GitHub: Opens/updates PR, opens issue, or comments
    GitHub->>GitHub Actions Runner: Triggers 'Visor' workflow
    activate GitHub Actions Runner
    GitHub Actions Runner->>GitHub Actions Runner: Starts 'visor' job
    GitHub Actions Runner->>GitHub Actions Runner: Step 1: Checkout code
    GitHub Actions Runner->>Visor Action (probelabs/visor): Step 2: Run action with secrets
    activate Visor Action (probelabs/visor)
    Visor Action (probelabs/visor)->>Google Cloud: Performs analysis via API call
    Google Cloud-->>Visor Action (probelabs/visor): Returns analysis results
    Visor Action (probelabs/visor)->>GitHub: Posts results (e.g., PR comment, check) using App auth
    deactivate Visor Action (probelabs/visor)
    deactivate GitHub Actions Runner

Loading

This diagram shows how a user's action on GitHub initiates the workflow. The runner executes the Visor action, which leverages external services (Google Cloud) for its analysis and then posts the results back to GitHub, completing the automated feedback loop.

---

Powered by Visor from Probelabs

Last updated: 2025-09-23T08:45:14.326Z | Triggered by: opened | Commit: 05927ea

[probelabs]

🔍 Code Analysis Results

Security Issues (3)

Severity	Location	Issue
🔴 Critical	.github/workflows/visor.yaml:24	The workflow uses `probelabs/visor@main`, which is a mutable reference. This creates a supply chain risk, as any new commit to the `main` branch will be automatically executed. If the third-party repository is compromised, malicious code could run with access to repository secrets. 💡 Suggestion To ensure the workflow executes a specific, trusted version of the action, pin it to an immutable commit SHA instead of a branch. Find a specific commit hash from the `probelabs/visor` repository that you trust and use that. 🔧 Suggested Fix - uses: probelabs/visor@a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2 # Replace with a specific commit SHA
🟢 Info	.github/workflows/visor.yaml:26-30	The workflow grants a third-party action significant permissions and access to high-privilege secrets, including a GitHub App private key and a Google API key. This establishes a high level of implicit trust in the `probelabs/visor` action. 💡 Suggestion Ensure the principle of least privilege is applied. The underlying GitHub App (`PROBE_APP`) should be configured with the absolute minimum set of permissions required for its operation. Similarly, the `GOOGLE_API_KEY` should be scoped down to only the specific services required by the Visor tool.
🟡 Warning	.github/workflows/visor.yaml:8-9	The workflow is configured to trigger on every new issue comment (`issue_comment: [created]`). This can be abused by external actors to trigger a large number of workflow runs, potentially leading to a denial-of-service on CI/CD resources by exhausting available runner minutes. 💡 Suggestion Restrict the trigger to trusted actors, such as repository collaborators or members. Add an `if` condition to the job to check the author's association with the repository before running. 🔧 Suggested Fix visor: if: contains(fromJson('["MEMBER", "OWNER", "COLLABORATOR"]'), github.event.comment.author_association) runs-on: ubuntu-latest

Performance Issues (2)

Severity	Location	Issue
🟢 Info	.github/workflows/visor.yaml:8-10	The workflow is configured to trigger on `issue_comment: [created]`, which will execute it for every single comment on any issue. This can lead to a high number of workflow runs, consuming a significant amount of available GitHub Actions minutes. 💡 Suggestion Consider using a more specific trigger to optimize resource usage. For example, trigger the workflow only when a comment contains a specific command (e.g., `/review`), if the action supports it.
🟡 Warning	.github/workflows/visor.yaml:23	The workflow uses `probelabs/visor@main`. Pinning an action to `@main` is not recommended as it can introduce unexpected behavior, stability issues, and performance regressions from upstream changes. 💡 Suggestion For predictable performance and stability, it is best practice to pin actions to a specific release version (e.g., `@v1`) or a commit SHA. 🔧 Suggested Fix - uses: probelabs/visor@v1

Quality Issues (2)

Severity	Location	Issue
🟢 Info	.github/workflows/visor.yaml:8-10	The workflow is configured to run on every issue comment (`issue_comment: [created]`). In an active repository, this can lead to a high volume of workflow executions, consuming CI/CD resources and potentially slowing down feedback cycles for other jobs. 💡 Suggestion If the intent is to trigger the action on-demand, consider a more specific trigger, such as a command in a comment (e.g., `/review`). If the action supports it, refining the trigger will optimize resource usage and reduce CI/CD noise.
🟡 Warning	.github/workflows/visor.yaml:23	The workflow uses `probelabs/visor@main`, which makes the CI pipeline's behavior non-deterministic. Using the `@main` tag can pull in breaking changes or bugs unexpectedly, making failures difficult to debug and compromising the reliability of the workflow. 💡 Suggestion Pin the action to a specific, stable release version (e.g., a tag like `@v1`) or a commit SHA to ensure repeatable and reliable workflow executions. This makes the CI process more maintainable and easier to troubleshoot.

Style Issues (1)

Severity	Location	Issue
🟢 Info	.github/workflows/visor.yaml:24	The GitHub Action `probelabs/visor@main` is not pinned to a specific version. 💡 Suggestion Using a floating reference like `main` can introduce unexpected breaking changes into your workflow. It is a best practice to pin actions to a specific version tag (e.g., `@v1`) or a commit SHA to ensure your workflow is stable and reproducible. 🔧 Suggested Fix uses: probelabs/visor@v1

---

Powered by Visor from Probelabs

Last updated: 2025-09-23T08:45:15.079Z | Triggered by: opened | Commit: 05927ea