The Bug That Taught Me: **Date:** 2025-12-18

**Date:** 2025-12-18
**Agent:** Agent-2
**Trigger:** User request to add cleaning agent workspaces to task list
**Status:** ✅ EXECUTED – Created analysis tool and populated MASTER_TASK_LOG

## Context

User asked: “can we add cleaning agent workspaces to the task list too”

This refers to the need for systematic workspace maintenance tasks to be tracked in MASTER_TASK_LOG.md, similar to how toolbelt health check tasks were added.

## Action Taken

Shadow Sovereign

[Shadow Sovereign]

Building Digital Dreamscape in public. One episode at a time.

1. **Created workspace analysis tool** (`tools/analyze_agent_workspace_cleaning.py`):
– Analyzes all agent workspaces for cleaning needs
– Identifies: old devlogs, large status.json files, inbox/outbox files, temp files, old cycle planner tasks
– Generates task entries for MASTER_TASK_LOG.md
– Provides recommendations per workspace

2. **Ran analysis**:
– Found 10 agent workspaces
– Identified 3 workspaces needing cleanup (Agent-1, Agent-3, Agent-6)
– Total: 412 inbox files across all workspaces
– 2 outbox files total

3. **Populated MASTER_TASK_LOG.md**:
– Added new section: “AGENT WORKSPACE CLEANING TASKS”
– Added 3 MEDIUM priority inbox cleanup tasks
– Added additional cleaning opportunities (status.json optimization, cycle planner archiving, etc.)
– Referenced workspace_auto_cleaner.py fix (already in toolbelt tasks)

## Analysis Results

**Workspaces Analyzed**: 10
– Agent-1, Agent-2, Agent-3, Agent-4, Agent-5, Agent-6, Agent-7, Agent-8, Agent-MCP, Agent-TEST

Shadow Sovereign

[Shadow Sovereign]

Building Digital Dreamscape in public. One episode at a time.

**Workspaces Needing Cleanup**: 3
– **Agent-1**: 96 inbox files
– **Agent-3**: 87 inbox files
– **Agent-6**: 75 inbox files, 2 outbox files

**Total Cleanup Needs**:
– Inbox files: 412 total
– Outbox files: 2 total
– Old devlogs (>30 days): 0
– Temp files: 0
– Large status.json files: 0

## Generated Tasks

### MEDIUM PRIORITY (3 tasks):
– Clean inbox in Agent-1 (96 files)
– Clean inbox in Agent-3 (87 files)
– Clean inbox in Agent-6 (75 files)

### Additional Opportunities:
– Review and optimize status.json files
– Archive old cycle planner tasks
– Clean outbox files
– Fix workspace_auto_cleaner.py tool (already in toolbelt tasks)

Shadow Sovereign

[Shadow Sovereign]

Building Digital Dreamscape in public. One episode at a time.

## Files Created/Modified

– **tools/analyze_agent_workspace_cleaning.py** (new): Workspace cleaning analysis tool
– **MASTER_TASK_LOG.md** (updated): Added “AGENT WORKSPACE CLEANING TASKS” section
– **devlogs/2025-12-18_agent-2_workspace_cleaning_tasks_added.md** (this file)

## Integration with Existing Tools

**Existing Tool**: `tools/workspace_auto_cleaner.py` (Agent-8)
– Currently broken (Import error: name ‘Dict’ is not defined)
– Already in toolbelt health check tasks
– Once fixed, can be used to automate cleanup

**New Tool**: `tools/analyze_agent_workspace_cleaning.py` (Agent-2)
– Analyzes all workspaces
– Generates task entries
– Can be run periodically to identify new cleaning needs

Shadow Sovereign

[Shadow Sovereign]

Building Digital Dreamscape in public. One episode at a time.

## Task Generation System

**Workflow**:
1. Run analysis: `python tools/analyze_agent_workspace_cleaning.py`
2. Review generated tasks
3. Add to MASTER_TASK_LOG.md (done)
4. Execute cleanup using workspace_auto_cleaner.py (once fixed)

**Automation Potential**:
– Integrate with workspace_auto_cleaner.py once fixed
– Run periodically to catch new cleaning needs
– Auto-update MASTER_TASK_LOG.md with new tasks
– Schedule automated cleanup runs

## Benefits

– **Systematic Approach**: All workspace cleaning needs identified and tracked
– **Prioritization**: Tasks categorized by priority and workspace
– **Actionable**: Specific file counts and workspace names provided
– **Maintainable**: System can be run regularly to catch new issues
– **Closed Loop**: Cleaning needs → tasks → execution tracking

Shadow Sovereign

[Shadow Sovereign]

Building Digital Dreamscape in public. One episode at a time.

## Next Steps

1. **Fix workspace_auto_cleaner.py**: Address Dict import error (already in toolbelt tasks)
2. **Execute inbox cleanup**: Archive old messages in Agent-1, Agent-3, Agent-6
3. **Review status.json files**: Check for optimization opportunities
4. **Archive cycle planner tasks**: Clean up old cycle planner JSON files
5. **Automate workflow**: Integrate cleanup into regular maintenance schedule

## Technical Notes

– Analysis tool checks file counts, sizes, and ages
– Identifies patterns: inbox/outbox, devlogs, temp files, cycle planners
– Generates markdown-formatted task entries
– V2 Compliant: <300 lines