My Post Stats WordPress Dashboard Widget

I’ve been curious about how much I post to my WordPress but all the Statistics plugins I was able to find for WordPress were about visitor stats.

Thus I created the plugin My Post Stats Dashboard Widget.

Dashboard Widget

All the plugin does is to add a new widget to your WordPress Dashboard that shows the months in which you posted something to your WordPress. Here is mine:

A screenshot of the My Post Stats WordPress dashboard widget showing a graph of posts per month and a table with stats like posts per day, most active day etc.

Below, you see a table of stats with posts per day, per week, per month. Most Active stats about which day of the week you post mostly, which hour of the day and what was your year with the most posts. Finally all time stats like your first post and the total posts you made.

Finally, it has a tree view of your posts so that you can rediscover what you posted in a particular year and month.

How to show or hide it

If the widget doesn’t show up automatically, check the Screen Options by clicking on the top right of the wp-admin screen.

You can also move the widget around:

Oh, and if the colors look different in your dashboard this is because it respects the dashboard color scheme you’ve selected in your profile (via the top right menu → Edit Profile):

Get the plugin in the WordPress plugin directory now: My Post Stats Dashboard Widget! If you encounter issues, please visit the Github repostory and report an issue or submit a patch.

cll Now Works With Local Files And Improves Output Formatting

I’ve written about my cll tool before and it is still my go-to way of communicating with LLMs. See the Github repo. As a developer, having llms available in the Terminal is very helpful to me.

Write a file to disk

A lot of my prompts ask the LLM to create a file for me. This is often a fast starting point for working on something new. It makes me realize how much time it takes to start from zero and even if the LLM doesn’t get all details right on first try, it gives me a boost.

But with this also comes that I need to do a lot of copy-pasting from LLM output. So, if you already anticipate that you’ll receive a file, you can set the -f option and it will write the suggested file contents to disk:

cll -t please write me a wordpress php plugin that will log all insert and update calls to a custom post type Model: gpt-40-mini via OpenAI System prompt: When recommending file content it must be prepended with the proposed filename in the form: "File: filename.ext" > please write me a wordpress php plugin that will log all insert and update calls to a custom post type File: log-custom-post-type.php *"php <?php /**| * Plugin Name: Custom Post Type Logger * Description: Logs all insert and update calls to a specified custom post type. * Version: 1.0 * Author: Your Name */ [...]| // Hook into the save_post action. add _action( 'save_post', 'log_custom_post_type_changes', 10, 2 ); Instructions: 1. Replace 'your_custom_post_type' with the actual name of your custom post type. 2. Save the code into a file named log-custom-post-type.php. 3. Upload the file to your WordPress installation's wp-content/plugins directory. 4. Activate the plugin through the WordPress admin interface. 5. All insert and update actions for the specified custom post type will be logged to a file named custom-post-type-log. txt in the same di rectory as the plugin file. Adjust the logging method as needed for your environment or logging preferences. Writing 1248 bytes to file: log-custom-post-type.php
The quoted code is automatically written to a file.

Modify a file (or multiple)

Further conversation would update the file from above but you can also start with an existing file. I had previously modified cll to handle pipe input well but it can be very useful to just give it a local file using the -i parameter and if you combine it with -f it will automatically update the file as well.

cll -i log-custom-post-type.php -f modify this so that the insert statements are stored in a custom post type Model: gpt-40-mini via OpenAI System prompt: When recommending file content it must be prepended with the proposed filename in the form: "File: filename.ext" > modify this so that the insert statements are stored in a custom post type Local File: log-custom-post-type.php 1248 bytes: * Plugin Name: custom Post lype Logger. * Description: Logs all insert and update calls to a specified custom post type. * Version: 1.01 Add file content to the prompt? Ly/NJ: y File: 100-custom-post-type.php pho * Plugin Name: Custom Post Type Logger * Description: Logs all insert and update calls to a specified custom post type. * Version: 1.0| * Author: Your Name| */| [...]| add action init, register Log entry cor h Backing up existing Tile: 10g-custom-post-type.onp = Log-custo-post-type.ono.oak.1/24005124 Writing 2459 bytes to file: 10g-custom-post-type.php → log-custom-post-type.php.bak. 1724665121
The file is read and given to the LLM and then written to the file again.

Output Formatting

LLM output is often Markdown-like with headlines, bold text, inline code and code blocks. This now prints more nicely:

A screenshot of the CLL tool that shows formatted output for headlines, quoted code and bold text
It uses ANSI escape codes to get styled text in the Terminal.

These little additions keep cll useful for me. I know that it’s the typical engineer’s “I’ll roll my own” but like that it automatically falls back to Ollama locally if there is no network, has the nice output formatting, can work with files, and is always quickly available in the Terminal. You can use it, or get inspired for what you’d ask from a CLI LLM client. Checkout the Github repo at https://github.com/akirk/cll