Add AI PR review workflow using Grok

.github/workflows/ai-pr-review

@@ -0,0 +1,110 @@
+name: Grok AI PR Review
+
+on:
+  pull_request:
+    types: [opened, synchronize, reopened]
+
+permissions:
+  pull-requests: write
+  contents: read
+
+jobs:
+  review:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0  # Needed for git diff
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install openai requests
+
+      - name: Run Grok Review
+        env:
+          XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
+          GROK_MODEL: ${{ vars.GROK_MODEL || 'grok-code-fast-1' }}  # fallback to fast coding model
+        run: |
+          python - << 'EOF'
+          import os
+          import requests
+          from openai import OpenAI
+
+          # Use OpenAI SDK with custom base URL for xAI compatibility
+          client = OpenAI(
+              api_key=os.environ["XAI_API_KEY"],
+              base_url="https://api.x.ai/v1"
+          )
+
+          # Get PR diff via GitHub API (or git diff origin/${{ github.base_ref }}...HEAD)
+          repo = "${{ github.repository }}"
+          pr_number = ${{ github.event.pull_request.number }}
+          token = os.environ.get("GITHUB_TOKEN")  # built-in
+
+          headers = {
+              "Accept": "application/vnd.github.v3.diff",
+              "Authorization": f"token {token}"
+          }
+          diff_url = f"https://api.github.com/repos/{repo}/pulls/{pr_number}"
+          diff_response = requests.get(diff_url, headers=headers)
+          diff_text = diff_response.text
+
+          if not diff_text.strip():
+              print("No diff found or empty PR.")
+              exit(0)
+
+          # Truncate if too long (Grok context is large, but save tokens)
+          max_chars = 30000
+          if len(diff_text) > max_chars:
+              diff_text = diff_text[:max_chars] + "\n\n[Diff truncated; full context may be larger]"
+
+          # Strong, repo-specific prompt (tune this!)
+          prompt = f"""
+          You are a senior security & knowledge-base curator reviewing changes to 'The Book of Secret Knowledge' — a curated list of cybersecurity, pentesting, CLI/GUI tools, shell tricks, and secret-finding resources.
+
+          Review this PR diff carefully:
+          {diff_text}
+
+          Provide concise, actionable feedback in Markdown:
+          - **Summary**: One-sentence overview of changes
+          - **Strengths**: What is good (e.g., new valuable resources, clean formatting)
+          - **Issues/Suggestions**:
+            - Formatting/consistency (links, headings, lists)
+            - Potential inaccuracies or outdated info
+            - Security risks (e.g., dangerous commands without warnings)
+            - Improvements (clarity, better structure, missing cross-references)
+          - **Overall**: Approve, Request changes, or Comment (with emoji rating)
+
+          Be strict but constructive. Flag anything promotional/spammy.
+          """
+
+          response = client.chat.completions.create(
+              model=os.environ["GROK_MODEL"],
+              messages=[
+                  {"role": "system", "content": "You are an expert code/knowledge reviewer."},
+                  {"role": "user", "content": prompt}
+              ],
+              temperature=0.4,  # lower for focused reviews
+              max_tokens=1200
+          )
+
+          review_body = response.choices[0].message.content.strip()
+
+          # Post as comment
+          comment_url = f"https://api.github.com/repos/{repo}/issues/{pr_number}/comments"
+          comment_headers = {
+              "Accept": "application/vnd.github+json",
+              "Authorization": f"Bearer {token}",
+              "X-GitHub-Api-Version": "2022-11-28"
+          }
+          payload = {"body": f"### Grok AI Review\n\n{review_body}"}
+          requests.post(comment_url, json=payload, headers=comment_headers)
+          print("Review posted.")
+          EOF