Bump specklesystems/speckle-automate-github-composite-action

Bumps [specklesystems/speckle-automate-github-composite-action](https://github.com/specklesystems/speckle-automate-github-composite-action) from 0.9.0 to 0.9.2.
- [Release notes](https://github.com/specklesystems/speckle-automate-github-composite-action/releases)
- [Commits](https://github.com/specklesystems/speckle-automate-github-composite-action/compare/0.9.0...0.9.2)

---
updated-dependencies:
- dependency-name: specklesystems/speckle-automate-github-composite-action
  dependency-version: 0.9.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/main.yml

@@ -33,7 +33,7 @@ jobs:
         run: |
           python main.py generate_schema ${HOME}/${{ env.FUNCTION_SCHEMA_FILE_NAME }}
       - name: Speckle Automate Function - Build and Publish
-        uses: specklesystems/speckle-automate-github-composite-action@0.9.0
+        uses: specklesystems/speckle-automate-github-composite-action@0.9.2
         with:
           speckle_automate_url: ${{ env.SPECKLE_AUTOMATE_URL || vars.SPECKLE_AUTOMATE_URL || 'https://automate.speckle.dev' }}
           speckle_token: ${{ secrets.SPECKLE_FUNCTION_TOKEN }}

README.md

@@ -1,6 +1,6 @@
 # 🛡️ Data Shield — User Guide
 
-**Data Shield** is a Speckle Automate function that helps you keep your model data clean, safe, and share-ready. Whether you're sending models to clients, collaborators, or just tidying up before archiving — Data Shield’s got your back.
+**Data Shield** is a Speckle Automate function that helps you keep your model data clean, safe, and share-ready. Whether you're sending models to clients or collaborators or just tidying up before archiving, Data Shield has your back.
 
 ## ✨ What Data Shield Does
 
@@ -21,7 +21,7 @@ We know one size doesn’t fit all, so Data Shield offers three modes to suit yo
 > **Best for:** Simple, predictable naming conventions.
 
 Remove parameters that start with a specific prefix.
-> Example: Want to remove everything starting with `secret_`? Just set that prefix and Data Shield does the rest.
+> Example: Want to remove everything starting with `secret_`? Just set that prefix, and Data Shield will do the rest.
 
 **Setup**:
 - Add your prefix (like `internal_`, `private_`, or `secret_`)
@@ -42,7 +42,7 @@ Get fancy and use `*`, `?`, or full regular expressions.
 ---
 
 ### Anonymization
-> **Best for:** Keeping the structure, hiding the details.
+> **Best for:** Keeping the structure and hiding the details.
 
 Automatically detect email addresses inside parameter values and anonymize them.
 > Example:
@@ -50,7 +50,7 @@ Automatically detect email addresses inside parameter values and anonymize them.
 > ![image](https://github.com/user-attachments/assets/076e4acd-2257-4ebd-b82b-c151e51c00c0)
 
 
-No setup needed. Just select and go.
+No setup is needed. Just select and go.
 
 ---
 
@@ -91,7 +91,7 @@ No setup needed. Just select and go.
 - Share confidently!
 
 ### → Anonymizing client data
-- Select Anonymization mode
+- Select the Anonymization mode
 - Run on any models with contact details
 - Use sanitized versions for demos, public decks, or sales pitches
 
@@ -107,6 +107,7 @@ No setup needed. Just select and go.
 - **Case mismatch?** Try turning off strict mode.
 - **Only partly sanitized?** Some complex models might need multiple passes.
 - **Errors?** Check run logs in the automation report for clues.
+- **Next Gen vs Legacy**: While v3 data objects are supported, if you're using non-Revit v2 objects, you might experience varied results. Please report any issues.
 
 ---