A lightweight tool for orchestrating and organizing your command-line workflows
About • Installation • Usage • Workflow Configuration • Parallel Execution • Workflows
Rayder is a command-line tool designed to simplify the orchestration and execution of workflows. It allows you to define a series of modules in a YAML file, each consisting of commands to be executed. Rayder helps you automate complex processes, making it easy to streamline repetitive modules and execute them parallelly if the commands do not depend on each other.
To install Rayder, ensure you have Go (1.16 or higher) installed on your system. Then, run the following command:
go install github.com/devanshbatham/rayder@v0.0.4
Rayder offers a straightforward way to execute workflows defined in YAML files. Use the following command:
rayder -w path/to/workflow.yaml
A workflow is defined in a YAML file with the following structure:
vars:
VAR_NAME: value
# Add more variables...
parallel: true|false
modules:
- name: task-name
cmds:
- command-1
- command-2
# Add more commands...
silent: true|false
# Add more modules...
Rayder allows you to use variables in your workflow configuration, making it easy to parameterize your commands and achieve more flexibility. You can define variables in the vars
section of your workflow YAML file. These variables can then be referenced within your command strings using double curly braces ({{}}
).
To define variables, add them to the vars
section of your workflow YAML file:
vars:
VAR_NAME: value
ANOTHER_VAR: another_value
# Add more variables...
You can reference variables within your command strings using double curly braces ({{}}
). For example, if you defined a variable OUTPUT_DIR
, you can use it like this:
modules:
- name: example-task
cmds:
- echo "Output directory {{OUTPUT_DIR}}"
You can also supply values for variables via the command line when executing your workflow. Use the format VARIABLE_NAME=value
to provide values for specific variables. For example:
rayder -w path/to/workflow.yaml VAR_NAME=new_value ANOTHER_VAR=updated_value
If you don't provide values for variables via the command line, Rayder will automatically apply default values defined in the vars
section of your workflow YAML file.
Remember that variables supplied via the command line will override the default values defined in the YAML configuration.
Here's an example of how you can define, reference, and supply variables in your workflow configuration:
vars:
ORG: "example.org"
OUTPUT_DIR: "results"
modules:
- name: example-task
cmds:
- echo "Organization {{ORG}}"
- echo "Output directory {{OUTPUT_DIR}}"
When executing the workflow, you can provide values for ORG
and OUTPUT_DIR
via the command line like this:
rayder -w path/to/workflow.yaml ORG=custom_org OUTPUT_DIR=custom_results_dir
This will override the default values and use the provided values for these variables.
Here's an example workflow configuration tailored for reverse whois recon and processing the root domains into subdomains, resolving them and checking which ones are alive:
vars:
ORG: "Acme, Inc"
OUTPUT_DIR: "results-dir"
parallel: false
modules:
- name: reverse-whois
silent: false
cmds:
- mkdir -p {{OUTPUT_DIR}}
- revwhoix -k "{{ORG}}" > {{OUTPUT_DIR}}/root-domains.txt
- name: finding-subdomains
cmds:
- xargs -I {} -a {{OUTPUT_DIR}}/root-domains.txt echo "subfinder -d {} -o {}.out" | quaithe -workers 30
silent: false
- name: cleaning-subdomains
cmds:
- cat *.out > {{OUTPUT_DIR}}/root-subdomains.txt
- rm *.out
silent: true
- name: resolving-subdomains
cmds:
- cat {{OUTPUT_DIR}}/root-subdomains.txt | dnsx -silent -threads 100 -o {{OUTPUT_DIR}}/resolved-subdomains.txt
silent: false
- name: checking-alive-subdomains
cmds:
- cat {{OUTPUT_DIR}}/resolved-subdomains.txt | httpx -silent -threads 1000 -o {{OUTPUT_DIR}}/alive-subdomains.txt
silent: false
To execute the above workflow, run the following command:
rayder -w path/to/reverse-whois.yaml ORG="Yelp, Inc" OUTPUT_DIR=results
The parallel
field in the workflow configuration determines whether modules should be executed in parallel or sequentially. Setting parallel
to true
allows modules to run concurrently, making it suitable for modules with no dependencies. When set to false
, modules will execute one after another.
Explore a collection of sample workflows and examples in the Rayder workflows repository. Stay tuned for more additions!
Inspiration of this project comes from Awesome taskfile project.