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› I need your help in creating a plan for validating email addresses in Oracle AI Database 26ai. I
  want to use MLE/JavaScript to validate email addresses based on this open source project: valida
  tor.js (https://github.com/validatorjs/validator.js)
  I want you to come up with the steps required to implement a function that accepts a string as
  the first input parameter. It also accepts a JavaScript object to override default options. The
  function returns true if validator's isEmail is true, false otherwise.
• I’ll ground the plan in the local Oracle skill guidance and the current validator.js API shape,
  then keep it implementation-oriented for MLE/JavaScript in 26ai.
• Explored
  └ Read SKILL.md (oracle-db-skills skill)
    Search MLE|JavaScript|Multilingual|module in skills
────────────────────────────────────────────────────────────────────────────────────────────────────
• The local skill set has a dedicated MLE guide, so I’m using that path and then checking
  validator.js directly for the relevant isEmail surface.
• Explored
  └ Read mle-javascript-in-database.md
• Searching the web
• Searched validator.js isEmail options GitHub README isEmail
• Searching the web
• Searched Oracle Database 26ai JavaScript Developer's Guide MLE modules call specifications PURE
• Searching the web
• Searched Oracle AI Database 26ai MLE JavaScript type mapping JSON PL/SQL JSON object parameter
• Searching the web
• Searched validator.js package license MIT GitHub validatorjs
────────────────────────────────────────────────────────────────────────────────────────────────────
• I used the fresh Oracle MLE skill guidance and checked the current validator.js README/API.
  Plan
  1. Define the database-facing API
     Use a module-backed MLE function, not inline JavaScript, because validator.js is a third-party
     dependency.
     Proposed SQL surface:
     FUNCTION is_email(
       p_email   IN VARCHAR2,
       p_options IN JSON
     ) RETURN BOOLEAN
     JavaScript export:
     export function isEmailAddress(email, options = {}) {
       ...
     }
     Oracle MLE call specification should map JSON options to JavaScript any, because Oracle docume
     nts SQL JSON arguments as usable with MLE JavaScript and maps them to MLE ANY in call signatur
     es. (docs.oracle.com
  (https://docs.oracle.com/en/database/oracle/oracle-database/26/mlejs/working-json-data.html?utm_source=openai))
  2. Decide option semantics
     Use validator.js defaults unless p_options overrides them. validator.js isEmail(str [,
     options]) defaults include:
     {
       allow_display_name: false,
       require_display_name: false,
       allow_utf8_local_part: true,
       require_tld: true,
       allow_ip_domain: false,
       allow_underscores: false,
       domain_specific_validation: false,
       blacklisted_chars: '',
       host_blacklist: []
     }
     Current validator.js also documents ignore_max_length, host_whitelist, and that host_blacklist
     / host_whitelist can contain strings or regular expressions. JSON cannot represent JavaScript
     RegExp, so the database API should support only JSON-representable option values unless you add
     a second API for regex construction. (github.com
     (https://github.com/validatorjs/validator.js?utm_source=openai))
  3. Implement a thin JavaScript wrapper
     The wrapper should:
      - Return false for null / undefined email input.
      - Ensure the email value passed to validator.js is a string.
      - Treat null / missing options as {}.
      - Merge options with defaults.
      - Call validator.js isEmail(email, mergedOptions).
      - Return only true or false.
      - Catch validator.js input/type errors and return false, unless you want invalid options to
        raise an exception.
     validator.js validates strings only and says non-string input causes an error, so this wrapper
     is the right boundary for defensive conversion or rejection. (github.com
     (https://github.com/validatorjs/validator.js/?utm_source=openai))
  4. Bundle validator.js for MLE
     Install the npm package named validator, not validatorjs.
     Use an ESM-friendly import such as:
     import isEmail from 'validator/es/lib/isEmail.js';
     Then bundle with esbuild or similar into a single ECMAScript module suitable for CREATE MLE MO
     DULE. Oracle’s MLE guidance favors persistent modules plus call specifications for reusable AP
     Is, and third-party dependency trees should be resolved with a bundler. (docs.oracle.com
  (https://docs.oracle.com/en/database/oracle/oracle-database/26/mlejs/oracle-database-javascript-developers-guide.pdf?utm_source=openai))
  5. Create the MLE module
     Load the bundled file into Oracle AI Database 26ai as an MLE JavaScript module, for example:
     CREATE OR REPLACE MLE MODULE email_validator_mod
     LANGUAGE JAVASCRIPT AS
     ...
     /
     In practice, use SQLcl’s MLE module loading workflow rather than embedding a large bundle
     directly in SQL.
  6. Create a PURE MLE environment if possible
     Email validation is deterministic computation and should not need database state. Use PURE so
     the function cannot access stateful database APIs. Oracle 26ai documentation describes PURE re
     stricted execution contexts for MLE environments and inline call specs. (docs.oracle.com
  (https://docs.oracle.com/en/database/oracle/oracle-database/26/mlejs/changes-this-release-oracle-javascript-developers-guide.html?utm_source=openai))
  7. Expose it through a call specification
     Example shape:
     CREATE OR REPLACE FUNCTION is_email(
       p_email   VARCHAR2,
       p_options JSON
     ) RETURN BOOLEAN
     AS MLE MODULE email_validator_mod
     SIGNATURE 'isEmailAddress(string, any)';
     /
     If you want callers to omit options, add a PL/SQL wrapper or overload that passes JSON '{}',
     because call specification defaults are awkward and should stay minimal.
  8. Add tests before loading into the database
     Use Vitest against the wrapper module with cases for:
      - user@example.com returns true
      - malformed emails return false
      - NULL-like inputs return false
      - require_tld: false accepts user@localhost
      - allow_display_name: true accepts Jane Doe <jane@example.com>
      - default options reject display names
      - unsupported option shapes are handled consistently
  9. Add database validation tests
     Use SQLcl MCP against localhost_emily_1521 to verify:
     SELECT is_email('user@example.com', JSON '{}');
     SELECT is_email('user@localhost', JSON '{"require_tld": false}');
     SELECT is_email('Jane <jane@example.com>',
                     JSON '{"allow_display_name": true}');
  10. Document constraints
  Document that this function validates syntax only. It does not prove mailbox existence, deliverab
  ility, MX records, or ownership. Also document the exact validator.js version bundled, because fu
  ture validator.js option behavior can change. The project is MIT licensed, so keep the license no
  tice with the bundled dependency. (github.com
  (https://github.com/validatorjs/validator.js/?utm_source=openai))