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January 16, 2026 10:13
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ASO Atlas Analysis Report v2
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| </head> | |
| <body> | |
| <div class="container"> | |
| <div class="card header"> | |
| <h1>🗺️ ASO Atlas Analysis</h1> | |
| <p class="subtitle">Comprehensive Repository Analysis Report</p> | |
| <div style="margin-top: 20px;"> | |
| <span class="badge badge-primary">Python</span> | |
| <span class="badge badge-success">Data Analysis</span> | |
| <span class="badge badge-warning">App Store</span> | |
| <span class="badge badge-danger">Sandbox Limited</span> | |
| </div> | |
| <p style="margin-top: 15px; color: var(--muted);"> | |
| Generated: 2026-01-16 10:08 UTC | Repository: <a href="https://github.com/barneyhill/aso_atlas" style="color: var(--primary);">barneyhill/aso_atlas</a> | |
| </p> | |
| </div> | |
| <div class="card"> | |
| <h2><span class="section-icon">⚠️</span> Environment Status</h2> | |
| <div class="alert alert-warning"> | |
| <span class="alert-icon">🔒</span> | |
| <div> | |
| <strong>Analysis Limited by Sandbox Environment</strong> | |
| <p style="margin-top: 5px; color: var(--muted);"> | |
| This analysis is running in a restricted Docker sandbox without network access or essential development tools. | |
| Full analysis requires host-level execution or an enhanced sandbox configuration. | |
| </p> | |
| </div> | |
| </div> | |
| <h3>Tool Availability Matrix</h3> | |
| <table> | |
| <thead> | |
| <tr><th>Tool</th><th>Required</th><th>Available</th><th>Impact</th></tr> | |
| </thead> | |
| <tbody> | |
| <tr><td><code>git</code></td><td>✅ Yes</td><td>❌ No</td><td>Cannot clone repository</td></tr> | |
| <tr><td><code>curl/wget</code></td><td>✅ Yes</td><td>❌ No</td><td>Cannot download files</td></tr> | |
| <tr><td><code>python3</code></td><td>✅ Yes</td><td>❌ No</td><td>Cannot run analysis scripts</td></tr> | |
| <tr><td><code>uv/pip</code></td><td>✅ Yes</td><td>❌ No</td><td>Cannot install dependencies</td></tr> | |
| <tr><td><code>gh</code> CLI</td><td>⚪ Optional</td><td>❌ No</td><td>Cannot query GitHub API</td></tr> | |
| <tr><td>Network</td><td>✅ Yes</td><td>❌ Blocked</td><td>No external connectivity</td></tr> | |
| <tr><td><code>perl</code></td><td>⚪ Fallback</td><td>✅ v5.36</td><td>Available but limited (no SSL)</td></tr> | |
| <tr><td><code>bash</code></td><td>✅ Yes</td><td>✅ v5.2</td><td>Basic shell operations work</td></tr> | |
| </tbody> | |
| </table> | |
| </div> | |
| <div class="card"> | |
| <h2><span class="section-icon">📊</span> Repository Overview</h2> | |
| <div class="grid"> | |
| <div class="stat-card"> | |
| <h4>Repository Name</h4> | |
| <div class="value" style="font-size: 1.2em;">aso_atlas</div> | |
| <p style="color: var(--muted);">by barneyhill</p> | |
| </div> | |
| <div class="stat-card"> | |
| <h4>Domain</h4> | |
| <div class="value" style="font-size: 1.2em;">ASO</div> | |
| <p style="color: var(--muted);">App Store Optimization</p> | |
| </div> | |
| <div class="stat-card"> | |
| <h4>Type</h4> | |
| <div class="value" style="font-size: 1.2em;">Data/Analysis</div> | |
| <p style="color: var(--muted);">Atlas = Comprehensive Dataset</p> | |
| </div> | |
| </div> | |
| <div class="alert alert-info"> | |
| <span class="alert-icon">💡</span> | |
| <div> | |
| <strong>About ASO (App Store Optimization)</strong> | |
| <p style="margin-top: 5px;"> | |
| ASO is the process of improving an app's visibility in app stores (Apple App Store, Google Play Store). | |
| Key factors include: keywords, app title, description, screenshots, ratings, reviews, and download velocity. | |
| An "atlas" typically implies a comprehensive mapping or collection of data in this domain. | |
| </p> | |
| </div> | |
| </div> | |
| <h3>Likely Repository Contents</h3> | |
| <p style="color: var(--muted); margin-bottom: 15px;">Based on naming conventions and typical ASO research repositories:</p> | |
| <div class="file-tree"> | |
| <ul> | |
| <li class="folder">📁 aso_atlas/</li> | |
| <ul> | |
| <li class="file">📄 README.md - Project documentation</li> | |
| <li class="file">📄 requirements.txt / pyproject.toml - Python dependencies</li> | |
| <li class="folder">📁 data/</li> | |
| <ul> | |
| <li class="file">📊 app_metadata.csv - App store listings data</li> | |
| <li class="file">📊 keywords.csv - Keyword rankings/volumes</li> | |
| <li class="file">📊 categories.json - App category mappings</li> | |
| </ul> | |
| <li class="folder">📁 scripts/ or src/</li> | |
| <ul> | |
| <li class="file">🐍 scraper.py - Data collection scripts</li> | |
| <li class="file">🐍 analysis.py - Data analysis utilities</li> | |
| <li class="file">🐍 visualizations.py - Chart generation</li> | |
| </ul> | |
| <li class="folder">📁 notebooks/</li> | |
| <ul> | |
| <li class="file">📓 exploration.ipynb - Data exploration</li> | |
| <li class="file">📓 analysis.ipynb - Statistical analysis</li> | |
| </ul> | |
| </ul> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <h2><span class="section-icon">🔬</span> Expected Analysis Components</h2> | |
| <h3>Data Analysis Pipeline</h3> | |
| <p style="color: var(--muted); margin-bottom: 20px;"> | |
| When full access is available, the following analyses would be performed: | |
| </p> | |
| <div class="grid"> | |
| <div style="background: #f0fdf4; padding: 20px; border-radius: 12px; border: 1px solid #86efac;"> | |
| <h4 style="color: var(--success);">📈 Statistical Analysis</h4> | |
| <ul style="margin-top: 10px; color: var(--muted); list-style: none;"> | |
| <li>✓ Distribution of app ratings</li> | |
| <li>✓ Download count correlations</li> | |
| <li>✓ Keyword frequency analysis</li> | |
| <li>✓ Category performance metrics</li> | |
| </ul> | |
| </div> | |
| <div style="background: #eff6ff; padding: 20px; border-radius: 12px; border: 1px solid #93c5fd;"> | |
| <h4 style="color: var(--primary);">📊 Visualizations</h4> | |
| <ul style="margin-top: 10px; color: var(--muted); list-style: none;"> | |
| <li>✓ Rating distribution histograms</li> | |
| <li>✓ Category breakdown pie charts</li> | |
| <li>✓ Time series trend analysis</li> | |
| <li>✓ Correlation heatmaps</li> | |
| </ul> | |
| </div> | |
| <div style="background: #fef3c7; padding: 20px; border-radius: 12px; border: 1px solid #fcd34d;"> | |
| <h4 style="color: var(--warning);">🔍 Code Analysis</h4> | |
| <ul style="margin-top: 10px; color: var(--muted); list-style: none;"> | |
| <li>✓ Dependency mapping</li> | |
| <li>✓ Code complexity metrics</li> | |
| <li>✓ Module structure analysis</li> | |
| <li>✓ Documentation coverage</li> | |
| </ul> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <h2><span class="section-icon">🛠️</span> Host Execution Commands</h2> | |
| <p style="color: var(--muted); margin-bottom: 20px;"> | |
| Run these commands on the host (not in sandbox) to perform the full analysis: | |
| </p> | |
| <h3>1. Clone and Setup</h3> | |
| <pre> | |
| # Clone the repository | |
| git clone https://github.com/barneyhill/aso_atlas.git /tmp/aso_atlas | |
| cd /tmp/aso_atlas | |
| # Set up Python environment with uv | |
| uv venv --python 3.13 | |
| source .venv/bin/activate | |
| # Install dependencies (if requirements.txt exists) | |
| if [ -f "requirements.txt" ]; then | |
| uv pip install -r requirements.txt | |
| fi | |
| # Or install common analysis packages | |
| uv pip install pandas numpy matplotlib seaborn plotly jupyter scikit-learn</pre> | |
| <h3>2. Explore Repository</h3> | |
| <pre> | |
| # List all files | |
| find . -type f -name "*.py" -o -name "*.csv" -o -name "*.json" -o -name "*.ipynb" | |
| # Check for data files | |
| ls -la data/ 2>/dev/null || echo "No data directory" | |
| # View README | |
| cat README.md 2>/dev/null | head -100</pre> | |
| <h3>3. Generate Analysis Report</h3> | |
| <pre> | |
| python3 << 'PYEOF' | |
| import os | |
| import json | |
| from pathlib import Path | |
| # Scan repository structure | |
| def scan_repo(path): | |
| structure = {"files": [], "dirs": [], "stats": {}} | |
| for root, dirs, files in os.walk(path): | |
| for f in files: | |
| full_path = os.path.join(root, f) | |
| rel_path = os.path.relpath(full_path, path) | |
| ext = Path(f).suffix | |
| size = os.path.getsize(full_path) | |
| structure["files"].append({ | |
| "path": rel_path, | |
| "ext": ext, | |
| "size": size | |
| }) | |
| structure["stats"][ext] = structure["stats"].get(ext, 0) + 1 | |
| return structure | |
| repo_data = scan_repo("/tmp/aso_atlas") | |
| print(json.dumps(repo_data, indent=2)) | |
| PYEOF</pre> | |
| </div> | |
| <div class="card"> | |
| <h2><span class="section-icon">📋</span> Analysis Checklist</h2> | |
| <table> | |
| <thead> | |
| <tr><th>Task</th><th>Status</th><th>Details</th></tr> | |
| </thead> | |
| <tbody> | |
| <tr> | |
| <td>Clone repository</td> | |
| <td><span class="badge badge-danger">Blocked</span></td> | |
| <td>No git or network access</td> | |
| </tr> | |
| <tr> | |
| <td>Install dependencies</td> | |
| <td><span class="badge badge-danger">Blocked</span></td> | |
| <td>No Python or pip/uv</td> | |
| </tr> | |
| <tr> | |
| <td>Analyze data files</td> | |
| <td><span class="badge badge-warning">Pending</span></td> | |
| <td>Requires repo access</td> | |
| </tr> | |
| <tr> | |
| <td>Generate visualizations</td> | |
| <td><span class="badge badge-warning">Pending</span></td> | |
| <td>Requires matplotlib/plotly</td> | |
| </tr> | |
| <tr> | |
| <td>Code structure analysis</td> | |
| <td><span class="badge badge-warning">Pending</span></td> | |
| <td>Requires file access</td> | |
| </tr> | |
| <tr> | |
| <td>Create HTML report</td> | |
| <td><span class="badge badge-success">Complete</span></td> | |
| <td>This document (with limitations)</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| </div> | |
| <div class="card"> | |
| <h2><span class="section-icon">💡</span> Recommendations</h2> | |
| <div class="content-preview"> | |
| <h4>Option 1: Run on Host</h4> | |
| <p>Execute the analysis directly on the MacBook where git, python, and uv are available. | |
| The host has full network access and can clone repositories without restrictions.</p> | |
| </div> | |
| <div class="content-preview"> | |
| <h4>Option 2: Enhanced Sandbox</h4> | |
| <p>Request a Docker container with Python, git, and network access enabled. | |
| This would allow the subagent to perform full analysis in isolation.</p> | |
| </div> | |
| <div class="content-preview"> | |
| <h4>Option 3: Pre-fetch Data</h4> | |
| <p>Clone the repository on the host first, then mount the directory into the sandbox. | |
| This keeps network operations on the host while allowing analysis in the sandbox.</p> | |
| </div> | |
| </div> | |
| <div class="card" style="background: linear-gradient(135deg, #1e293b, #334155); color: white;"> | |
| <h2 style="color: white; border-bottom-color: #475569;"><span class="section-icon" style="background: linear-gradient(135deg, #fbbf24, #f59e0b);">🎯</span> Summary</h2> | |
| <p style="font-size: 1.1em; line-height: 1.8; color: #cbd5e1;"> | |
| The <strong style="color: #fbbf24;">barneyhill/aso_atlas</strong> repository likely contains App Store Optimization data and analysis tools. | |
| Due to sandbox network restrictions, a full analysis could not be performed. | |
| </p> | |
| <p style="margin-top: 20px; color: #94a3b8;"> | |
| To complete this analysis, the main agent should either: | |
| </p> | |
| <ul style="margin-top: 10px; color: #94a3b8; list-style: none;"> | |
| <li>✦ Execute on host with full network access</li> | |
| <li>✦ Use an enhanced sandbox with required tools</li> | |
| <li>✦ Pre-fetch the repository and mount into sandbox</li> | |
| </ul> | |
| </div> | |
| <div class="footer"> | |
| <p> | |
| <strong>Generated by:</strong> Clawdbot Subagent (aso-atlas-v2)<br> | |
| <strong>Session:</strong> agent:main:subagent:aeb0778b-493a-4c93-b286-7370663445a5<br> | |
| <strong>Runtime:</strong> Debian 12 (arm64) | Docker Sandbox | No Network<br><br> | |
| <a href="https://github.com/barneyhill/aso_atlas">View Repository on GitHub →</a> | |
| </p> | |
| </div> | |
| </div> | |
| </body> | |
| </html> |
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