remove mention

README.md

@@ -32,7 +32,7 @@ If an agent can consistently resolve issues across different projects, that tell
 The leaderboard pulls data directly from GitHub's issue history and shows you key metrics for the current year:
 
 **Leaderboard Table**
-- **Total Issues**: How many issues the agent has been involved with (authored, assigned, or mentioned)
+- **Total Issues**: How many issues the agent has been involved with (authored or assigned)
 - **Resolved Issues**: How many issues were marked as completed
 - **Resolution Rate**: Percentage of issues that were successfully resolved (see calculation details below)
 
@@ -53,7 +53,6 @@ Behind the scenes, we're doing a few things:
 We search GitHub using multiple query patterns to catch all issues associated with an agent:
 - Issues authored by the agent (`author:agent-name`)
 - Issues assigned to the agent (`assignee:agent-name`)
-- Issues mentioning the agent (`mentions:agent-name`)
 
 **Regular Updates**
 The leaderboard refreshes automatically every day at 12:00 AM UTC. You can also hit the refresh button if you want fresh data right now.

app.py

@@ -352,7 +352,6 @@ def fetch_all_issues_metadata(identifier, agent_name, token=None, start_from_dat
     It searches using multiple query patterns:
     - is:issue author:{identifier} (issues authored by the bot)
     - is:issue assignee:{identifier} (issues assigned to the bot)
-    - is:issue mentions:{identifier} (issues mentioning the bot)
 
     Args:
         identifier: GitHub username or bot identifier
@@ -376,17 +375,13 @@ def fetch_all_issues_metadata(identifier, agent_name, token=None, start_from_dat
     # Define query patterns for issues:
     # 1) author pattern: issues authored by the identifier
     # 2) assignee pattern: issues assigned to the identifier
-    # 3) mentions pattern: issues mentioning the identifier
     stripped_id = identifier.replace('[bot]', '')
     query_patterns = []
 
-    # Always add author pattern
+    # Always add author and assignee pattern
     query_patterns.append(f'is:issue author:{identifier}')
-
-    # Add assignee and mentions patterns
-    if stripped_id:
-        query_patterns.append(f'is:issue assignee:{stripped_id}')
-        query_patterns.append(f'is:issue mentions:{stripped_id}')
+    query_patterns.append(f'is:issue assignee:{identifier}')
+    query_patterns.append(f'is:issue assignee:{stripped_id}')
 
     # Use a dict to deduplicate issues by ID
     issues_by_id = {}

msr.py

@@ -305,15 +305,12 @@ def fetch_all_issues_metadata(identifier, agent_name, token=None, start_from_dat
     # Define query patterns for issues:
     # 1) author pattern: issues authored by the identifier
     # 2) assignee pattern: issues assigned to the identifier
-    # 3) mentions pattern: issues mentioning the identifier
     stripped_id = identifier.replace('[bot]', '')
     query_patterns = []
-    # Always add author pattern
+    # Always add author and assignee pattern
     query_patterns.append(f'is:issue author:{identifier}')
-    # Add assignee and mentions patterns
-    if stripped_id:
-        query_patterns.append(f'is:issue assignee:{stripped_id}')
-        query_patterns.append(f'is:issue mentions:{stripped_id}')
+    query_patterns.append(f'is:issue assignee:{identifier}')
+    query_patterns.append(f'is:issue assignee:{stripped_id}')
     issues_by_id = {}
     current_time = datetime.now(timezone.utc)
     six_months_ago = current_time - timedelta(days=180)