keith991001 opened a new pull request, #73267:
URL: https://github.com/apache/airflow/pull/73267

   Resolves two `OVERLOOKED_TESTS` entries for the standard provider, following 
the per-provider batching convention (same shape as #73111 / #73153 / #73229).
   
   ## What changed
   
   **`sensors/test_external_task.py`** — the coverage already existed (2400+ 
lines) but under the legacy name `test_external_task_sensor.py`, so the guard 
list kept treating the mirror-path test as missing (the stale entry was never 
caught because of the `added_test_files` type mismatch that #71985 fixes). 
Renamed via `git mv` to mirror the source module `external_task.py`, matching 
the earlier `branch`/`latest_only` alignment in #73229.
   
   While moving, added a `TestExternalDagLink` class — the `ExternalDagLink` 
operator link had no dedicated coverage: its `name`, and the exact dag-run URL 
it builds, asserted for both operators that declare it (`ExternalTaskSensor` 
and `ExternalTaskMarker`).
   
   **`operators/test_empty.py`** — new file. `EmptyOperator` is 39 lines of 
source but carries a scheduler-facing contract worth pinning:
   
   - `execute` is a no-op returning `None`;
   - `inherits_from_empty_operator` is `True` on class and instance;
   - the scheduler short-circuit contract via 
`TaskInstance.is_task_schedulable` (3.2+ guarded): a trivial `EmptyOperator` is 
marked success without being scheduled, while `on_execute_callback` / 
`on_success_callback` / `outlets` / `inlets` each opt the task back into real 
scheduling.
   
   Both entries removed from `OVERLOOKED_TESTS` in `test_project_structure.py`.
   
   ## Verification
   
   - `pytest providers/standard/tests/unit/standard/operators/test_empty.py` → 
7 passed
   - `pytest 
providers/standard/tests/unit/standard/sensors/test_external_task.py` → 42 
passed, 65 skipped (pre-existing version-gated skips, unchanged by the move)
   - `pytest airflow-core/tests/unit/always/test_project_structure.py` → 10 
passed, 1 xfailed
   - local providers mypy and `prek run --from-ref main` clean
   
   ---
   
   ##### Was generative AI tooling used to co-author this PR?
   
   - [X] Yes (please specify the tool below)
   
   Generated-by: Claude Code (Fable 5) following [the 
guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions)
   
   ---
   
   * Read the **[Pull Request 
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 for more information. Note: commit author/co-author name and email in commits 
become permanently public when merged.
   * For fundamental code changes, an Airflow Improvement Proposal 
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
 is needed.
   * When adding dependency, check compliance with the [ASF 3rd Party License 
Policy](https://www.apache.org/legal/resolved.html#category-x).
   * For significant user-facing changes create newsfragment: 
`{pr_number}.significant.rst`, in 
[airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/newsfragments).
 You can add this file in a follow-up commit after the PR is created so you 
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