update readme

Author: ardunn

README.md

@@ -1,17 +1,17 @@
 
 # <img alt="rocketsled" src="docs_rst/_static/logo-small.png" width="350">
 
-| Tests  |   Code Coverage   |  Codacy | Release |
-|:----------:|:-------------:|:------:|:------:|
-[![CircleCI](https://img.shields.io/circleci/project/github/hackingmaterials/rocketsled/master.svg)](https://circleci.com/gh/hackingmaterials/rocketsled) | [![Codacy Badge](https://img.shields.io/codacy/coverage/3e4e2ac81f8d47c58759c386a6377e7d.svg?colorB=brightgreen)](https://www.codacy.com/app/ardunn/rocketsled) | [![Codacy Badge](https://img.shields.io/codacy/grade/3e4e2ac81f8d47c58759c386a6377e7d.svg)](https://www.codacy.com/app/ardunn/rocketsled) | [![PyPI version](https://img.shields.io/pypi/v/rocketsled.svg?colorB=blue)](https://pypi.org/project/rocketsled/) |
+| Tests  |   Release  |
+|:----------:|:-------------:|
+| ![example workflow](https://github.com/hackingmaterials/matbench/actions/workflows/python-package.yml/badge.svg) | [![PyPI version](https://img.shields.io/pypi/v/rocketsled.svg?colorB=blue)](https://pypi.org/project/rocketsled/) |
 
 
 rocketsled is a black-box optimization framework "on rails" for high-throughput computation with FireWorks.
 
-- **Website (including documentation):** https://hackingmaterials.github.io/rocketsled/
-- **Help/Support:** https://discuss.matsci.org
-- **Source:** https://github.com/hackingmaterials/rocketsled
-- **FireWorks website:** https://materialsproject.github.io/fireworks
+- [**Website (including documentation)**](https://hackingmaterials.github.io/rocketsled/)
+- [**Help/Support**](https://discuss.matsci.org)
+- [**Source**](https://github.com/hackingmaterials/rocketsled)
+- [**FireWorks website**](https://materialsproject.github.io/fireworks)
 
 If you find rocketsled useful, please encourage its development by citing the [following paper](http://doi.org//10.1088/2515-7639/ab0c3d) in your research: