[Bug] Update Custom Rules Markdown Location

CLI.md

@@ -481,7 +481,7 @@ Options:
 
 ### Exporting rules
 
-This command should be run with the `CUSTOM_RULES_DIR` envvar set, that way proper validation is applied to versioning when the rules are downloaded. See the [custom rules docs](docs-dev/custom-rules.md) for more information.
+This command should be run with the `CUSTOM_RULES_DIR` envvar set, that way proper validation is applied to versioning when the rules are downloaded. See the [custom rules docs](docs-dev/custom-rules-management.md) for more information.
 
 ```
 python -m detection_rules kibana export-rules -h

detection_rules/custom_rules.py

@@ -15,7 +15,7 @@
 from .utils import ROOT_DIR, get_etc_path, load_etc_dump
 
 DEFAULT_CONFIG_PATH = Path(get_etc_path('_config.yaml'))
-CUSTOM_RULES_DOC_PATH = Path(ROOT_DIR).joinpath(REPO_DOCS_DIR, 'custom-rules.md')
+CUSTOM_RULES_DOC_PATH = Path(ROOT_DIR).joinpath(REPO_DOCS_DIR, 'custom-rules-management.md')
 
 
 @root.group('custom-rules')

docs-dev/detections-as-code.md

@@ -39,7 +39,7 @@ Feature requests for the DaC components that interact with the Elastic Security
 
 ## Reference Implementation of DaC Components
 
-DaC is not a single tool. Detection as Code (DaC) is a modern security approach that applies software development best practices to the creation, management, and deployment of security rules. Here is a short summary of several components that extend upon Elastic's rule management capabilities (e.g. query validation, schema validation, unit tests, etc.) provided to help fast track users ability to implement custom DaC implementations in their private environments. If you are new to these concepts, please refer to the [DaC Documentation](https://dac-reference.readthedocs.io/en/latest/), which also provides a quickstart guide and example end-to-end CI/CD workflows.  These components are configurable by using the [custom-rules](docs-dev/custom-rules.md) setup.
+DaC is not a single tool. Detection as Code (DaC) is a modern security approach that applies software development best practices to the creation, management, and deployment of security rules. Here is a short summary of several components that extend upon Elastic's rule management capabilities (e.g. query validation, schema validation, unit tests, etc.) provided to help fast track users ability to implement custom DaC implementations in their private environments. If you are new to these concepts, please refer to the [DaC Documentation](https://dac-reference.readthedocs.io/en/latest/), which also provides a quickstart guide and example end-to-end CI/CD workflows.  These components are configurable by using the [custom-rules](custom-rules-management.md) setup.
 
 - Kibana's Rule Versioning Mechanism ([link](https://dac-reference.readthedocs.io/en/latest/internals_of_the_detection_rules_repo.html#option-2-defer-to-elastic-security))
 - Local rule management (e.g. autoschema generation, actions and exceptions) ([link](https://dac-reference.readthedocs.io/en/latest/internals_of_the_detection_rules_repo.html#option-1-using-the-built-in-configuration))

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "detection_rules"
-version = "1.0.0"
+version = "1.0.1"
 description = "Detection Rules is the home for rules used by Elastic Security. This repository is used for the development, maintenance, testing, validation, and release of rules for Elastic Security’s Detection Engine."
 readme = "README.md"
 requires-python = ">=3.12"