diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 74d2957b..e7678893 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -71,6 +71,11 @@ jobs:
         run: |
           rm -r _build/.doctrees
           jb build lectures --path-output ./ -nW --keep-going
+      # Soft check on CI to check the WASM compatibility.
+      - name: Check WASM lectures
+        shell: bash -l {0}
+        run: |
+          python testing/check_wasm.py
       - name: Upload Execution Reports (HTML)
         uses: actions/upload-artifact@v4
         if: failure()
diff --git a/testing/check_wasm.py b/testing/check_wasm.py
new file mode 100644
index 00000000..595b9ad2
--- /dev/null
+++ b/testing/check_wasm.py
@@ -0,0 +1,68 @@
+# Testing script to check whether the lectures added in
+# wasm_compatible.yml are compatible with WASM.
+# This is a soft-check check based on the imports present.
+# It is still recommended to test the lecture on the
+# https://github.com/QuantEcon/project.lecture-wasm
+
+import os
+import yaml
+import jupytext
+
+from pyodide.code import find_imports
+
+# This is the list of imports (libraries) that are not supported
+# WASM pyodide kernel in Jupyterlite.
+UNSUPPORTED_LIBS = {
+    'quantecon',
+    'numba',
+}
+
+CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
+ROOT_DIR  = os.path.dirname(CURRENT_DIR)
+LECTURES_DIR  = os.path.join(ROOT_DIR, "lectures")
+CONFIG_FILE = os.path.join(ROOT_DIR, "wasm_compatible.yml")
+
+
+def get_wasm_compatible_files():
+    """
+    Get the list of lectures names from the config file.
+    """
+    # Load the YAML configuration
+    with open(CONFIG_FILE, "r") as file:
+        config = yaml.safe_load(file)
+
+    return config.get("lectures", [])
+
+
+def convert_md_to_py_string(md_file_path):
+    """
+    Convert a .md(myst) file to Python code string without creating a .py file.
+    
+    Args:
+        md_file_path (str): Path to the Markdown file (.md)
+        
+    Returns:
+        str: Python code as a string
+    """
+    # Read the markdown file as a Jupytext notebook
+    with open(md_file_path, 'r', encoding='utf-8') as md_file:
+        notebook = jupytext.read(md_file)
+    
+    # Convert the notebook to Python script format
+    py_code = jupytext.writes(notebook, fmt="py")
+    
+    return py_code
+
+
+def test_compatibility():
+    file_names = get_wasm_compatible_files()
+    for file_name in file_names:
+        py_string = convert_md_to_py_string(os.path.join(LECTURES_DIR, file_name + ".md"))
+        file_imports = find_imports(py_string)
+        for file_import in file_imports:
+            if file_import in UNSUPPORTED_LIBS:
+                error = 'import `{}` in lecture `{}` is not supported by WASM'.format(file_import, file_name)
+                raise ValueError(error)
+
+if __name__ == "__main__":
+    test_compatibility()