I knew about the Konesans Trash Destination, but it turns out that they have a whole series of free, publicly available SSIS components. The main product page is here, and below I have pasted in content for each of the transforms, with the link to the download page:
The Checksum Transformation computes a hash value, the checksum, across one or more columns, returning the result in the Checksum output column. The transformation provides functionality similar to the T-SQL CHECKSUM function, but is encapsulated within SQL Server Integration Services, for use within the pipeline without code or a SQL Server connection. Checksums can reduce network contention and increase process performance by allowing you to verify data through a single value rather than transferring all data values for comparison.
This source component literally generates data. Specify how many columns you want, and how many rows, then watch the data flow out. Build demonstration and research scenarios faster with this simple source.
The File Watcher Task does what it says really, it watches a folder waiting for files. When an available file is found the task completes, returning the name of the file for onward use within the package.
The Regular Expression Transformation exposes the power of regular expression matching within the pipeline. One or more columns can be selected, and for each column an individual expression can be applied. If all columns selected pass their tests then rows are passed down the successful match output. Rows that fail to pass all tests are directed down the alternate output.
The Row Number Transformation calculates a row number for each row. It offers ROW_NUMBER or IDENTITY like behaviour within the Data Flow. Uses include surrogate key generation or data partitioning within the pipeline.
The Trash Destination Adapter is a development aid. It allows you to quickly terminate a data flow path, and does not require any configuration. It will consume the rows without any side effects, and prevents warnings or errors you may otherwise receive when executing the data flow.