docs: add goreportcard

Author: bobheadxi

README.md

@@ -1,6 +1,6 @@
 # Lens
 
-[![GoDoc](https://godoc.org/github.com/RTradeLtd/Lens?status.svg)](https://godoc.org/github.com/RTradeLtd/Lens) [![codecov](https://codecov.io/gh/RTradeLtd/Lens/branch/master/graph/badge.svg)](https://codecov.io/gh/RTradeLtd/Lens) [![Build Status](https://travis-ci.com/RTradeLtd/Lens.svg?branch=master)](https://travis-ci.com/RTradeLtd/Lens)
+[![GoDoc](https://godoc.org/github.com/RTradeLtd/Lens?status.svg)](https://godoc.org/github.com/RTradeLtd/Lens) [![codecov](https://codecov.io/gh/RTradeLtd/Lens/branch/master/graph/badge.svg)](https://codecov.io/gh/RTradeLtd/Lens) [![Build Status](https://travis-ci.com/RTradeLtd/Lens.svg?branch=master)](https://travis-ci.com/RTradeLtd/Lens) [![Go Report Card](https://goreportcard.com/badge/github.com/RTradeLtd/Lens)](https://goreportcard.com/report/github.com/RTradeLtd/Lens)
 
 Lens is an opt-in search engine and data collection tool to aid content discovery of the distributed web. Initially integrated with TEMPORAL, Lens will allow users to optionally have the data they upload be searched and indexed and be awarded with RTC for participating in the data collection process. Users can then search for "keywords" of content, such as "document" or "api". Lens will then use this keyword to retrieve all content which matched.
 
@@ -49,4 +49,4 @@ For image indexing, we currently run the images against pre-trained InceptionV5
 1) When receiving a search request, we are simply provided with a list of keywords to search through.
 2) Using these keywords, we then search through badgerds to see if these keywords have been seen before. If they have, we then pull a list of all lens identifiers that can be matched by this keyword. 
 3) After repeating step 2 for all keywords, we then search through badgerds to find the objects that the lens identifiers refer to
-4) The user is then sent a list of all object names (ie, ipfs content hashes) for which.
+4) The user is then sent a list of all object names (ie, ipfs content hashes) for which.