[prompt-clustering] Copilot Agent Prompt Clustering Analysis - Feb 17 #16335
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🎭 The smoke test agent just waltzed through discussion #16335! Testing all the things... 🔥
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🔬 Copilot Agent Prompt Clustering Analysis
Analysis Date: 2026-02-17
Run ID: §22098453566
Summary
Analysis Period: Last 30 days (PRs created by Copilot)
Total Tasks Analyzed: 1,514
Clusters Identified: 8
Overall Success Rate: 67.8%
Silhouette Score: 0.104 (clustering quality)
🎯 Key Findings
View Full Cluster Analysis & Data Table
📊 Cluster Breakdown
Cluster 5: Agentic Workflow Updates
Characteristics: Agentic workflow improvements, documentation updates, and general enhancements. The largest cluster representing broad workflow maintenance.
Example PRs: #11053, #11064, #11065
Sample Titles:
Update parent issue template for agentic-workflow failures
Add interactive engine selection and secret configuration to init command
[WIP] Fix network configuration for MCP server time
Cluster 3: Workflow & Issue Management
Characteristics: General workflow management, issue handling, and GitHub Actions configuration. Covers workflow maintenance and issue assignment.
Example PRs: #11054, #11059, #11060
Sample Titles:
Auto-assign
@copilotto workflow sync issues when agent token availableInstall Go toolchain in daily-cli-performance workflow
Merge maintenance jobs and add comprehensive logging
Cluster 4: Testing & Code Quality
Characteristics: Testing infrastructure, code quality fixes, and error resolution. Includes test fixes, type errors, and linting issues.
Example PRs: #11058, #11068, #11069
Sample Titles:
Fix ephemerals tests after blockquote prefix requirement in PR Fix expiration detection for quoted footers and legacy format #11036
Prevent ANSI escape sequences in compiled workflow YAML files
Fix TypeScript type error in close_older_issues.cjs - add type guard for error.stack access
Cluster 2: MCP Server Integration
Characteristics: MCP (Model Context Protocol) server integration, updates, and tool additions. Focuses on server version updates and tooling improvements.
Example PRs: #11050, #11067, #11085
Sample Titles:
chore: Update Sentry MCP server to 0.27.0
Add missing get_repository tool to repos toolset
Verify CLI version updates: Copilot 0.0.388, Sandbox Runtime 0.0.29, MCP Gateway v0.0.74
Cluster 1: Safe Outputs & Configuration
Characteristics: Tasks related to safe outputs configuration, error handling, and validation. Includes improvements to the safe-outputs system and agent output handling.
Example PRs: #11066, #11112, #11116
Sample Titles:
Improve error messages for invalid target configuration in safe outputs
Validate safe-outputs target field at compile time
Fix create_pull_request in safe-outputs container by installing git
Cluster 6: Project & Status Management
Characteristics: Project management features, status tracking, and field configuration. Focuses on GitHub Projects integration.
Example PRs: #11174, #11238, #11284
Sample Titles:
Add temporary project ID support for safe outputs
Fix campaign project URL resolution in issue updates
Add field-definitions support to create-project configuration
Cluster 7: Campaign & Security
Characteristics: Campaign management, security scanning, and documentation. Specialized workflows for campaign tracking and security.
Example PRs: #11070, #11080, #11087
Sample Titles:
chore: campaign discovery via label-based approach
Clarify tracker-id is optional for campaign worker workflows
Replace campaign fusion with first-class dispatch-only workers
Cluster 8: CI/CD & Integration Fixes
Characteristics: CI/CD pipeline fixes, GitHub Actions debugging, and integration issues. High success rate for targeted bug fixes.
Example PRs: #11096, #11783, #11915
Sample Titles:
[WIP] Fix failing GitHub Actions workflow for JavaScript
[WIP] Fix Dependabot bundler issues requiring token
Fix staticcheck S1009 lint error: remove redundant nil check on map
📈 Success Rate by Cluster
📋 Full Data Table (Sample of 100 PRs)
...and 80 more PRs (see full report for complete table)
🔍 Insights & Patterns
Task Distribution
Success Patterns
Task Complexity Indicators
💡 Recommendations
For Task Success
For Prompt Engineering
For Future Analysis
📚 Methodology
Technical Details
Data Collection:
NLP Processing:
Cluster Validation:
Generated by Copilot Agent Prompt Clustering Analysis
Data: 1514 tasks | Clusters: 8 | Success Rate: 67.8%
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