Add Kaggle Secrets documentation

docs/README.md

@@ -55,7 +55,7 @@ The Kaggle CLI is organized into several command groups:
 *   [Competitions](./competitions.md): Manage and participate in Kaggle competitions.
 *   [Datasets](./datasets.md): Search, download, and manage Kaggle datasets.
 *   [Forums](./forums.md): Browse and read Kaggle discussion forums.
-*   [Kernels](./kernels.md): Interact with Kaggle Kernels (notebooks and scripts).
+*   [Kernels](./kernels.md): Interact with Kaggle Kernels (notebooks and scripts). Includes information on using [Kaggle Secrets](./kernels.md#using-secrets-in-kernels).
 *   [Models](./models.md): Manage your Kaggle Models.
 *   [Model Variations](./model_variations.md): Manage variations of your Kaggle Models.
 *   [Model Variation Versions](./model_variations_versions.md): Manage versions of your Kaggle Model Variations.

docs/kernels.md

@@ -394,3 +394,24 @@ kaggle kernels topics show owner/kernel-slug/12345
 **Purpose:**
 
 This command displays a full discussion topic along with all of its comments rendered in an indented tree structure.
+
+## Using Secrets in Kernels
+
+If your kernel needs to access sensitive information (like API keys or passwords) without exposing them in your code, you should use **Kaggle Secrets**.
+
+### 1. Add Secrets on Kaggle.com
+1.  Open your notebook in the Kaggle Notebook Editor.
+2.  In the menu, select **Add-ons** -> **Secrets**.
+3.  Add your secrets as key-value pairs (e.g., Label: `MY_API_KEY`, Value: `your-actual-key-value`).
+
+### 2. Access Secrets in your Code
+Use the `UserSecretsClient` from the `kaggle_secrets` package to retrieve your secrets at runtime:
+
+```python
+from kaggle_secrets import UserSecretsClient
+
+# Retrieve the secret value using the label you defined
+secret_value = UserSecretsClient().get_secret("MY_API_KEY")
+```
+
+**Note:** The `kaggle_secrets` package is pre-installed and only functional within the Kaggle notebook execution environment. It will not work when running scripts locally.