Add comprehensive technical audit and use case documentation #264
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This commit adds extensive documentation covering both high-level architecture and low-level code analysis of the Self-Operating Computer Framework. Changes: - Add AUDIT.md: Complete technical audit report covering: * High-level architecture analysis (design patterns, data flow, multi-model integration) * Low-level security audit (11 identified vulnerabilities with severity levels) * Code quality assessment (strengths, weaknesses, recommendations) * Error handling analysis and testing coverage evaluation * Dependency analysis and performance considerations * Comprehensive recommendations and roadmap (P0/P1/P2 priorities) - Add USE_CASES.md: Detailed real-world use cases and scenarios: * Use Case 1: Automated Web Research & Data Collection * Use Case 2: UI/UX Testing & Quality Assurance * Use Case 3: Repetitive Desktop Task Automation * Use Case 4: Content Creation & Social Media Management * Use Case 5: Local Application Automation & System Administration * Each includes step-by-step workflows, time savings analysis, and best practices * Cost estimation and ROI analysis * Troubleshooting guide - Update README.md: * Add Documentation section with links to AUDIT.md and USE_CASES.md * Add prominent Security Notice section with usage recommendations * Clearly distinguish appropriate vs inappropriate use cases * Link to detailed security assessment Key Audit Findings: - Overall Assessment: Experimental/Research Quality (3/5 stars) - Security: CRITICAL vulnerabilities identified (unrestricted OS access, plaintext API keys, prompt injection risks) - Architecture: Innovative multi-modal design with 9+ AI models - Code Quality: Clear separation of concerns but significant code duplication - Testing: Minimal coverage (~5%) - needs comprehensive test suite Recommendations: Framework suitable for research/personal use but requires significant security hardening before production deployment.
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Pull request overview
This PR adds comprehensive technical documentation for the Self-Operating Computer Framework, providing both detailed security audit analysis and practical use case scenarios to help users understand the capabilities, limitations, and security considerations of the system.
Key additions:
- Technical audit report identifying 11 security vulnerabilities with P0/P1/P2 prioritized recommendations
- Five detailed use case scenarios with step-by-step workflows, cost analysis, and best practices
- Security notice in README.md distinguishing appropriate vs. inappropriate usage
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 8 comments.
| File | Description |
|---|---|
| AUDIT.md | Comprehensive 1400+ line technical audit covering architecture analysis, security vulnerabilities (critical OS access issues, plaintext API keys, prompt injection), code quality assessment, testing coverage (~5%), dependency analysis, and prioritized roadmap for production readiness |
| USE_CASES.md | Detailed 940-line use case documentation with 5 real-world scenarios (web research, UI testing, task automation, social media management, system administration) including workflows, time savings calculations, cost estimates, and troubleshooting guide |
| README.md | Updated with documentation section linking to new files and prominent security notice clarifying the framework is for research/experimental use only, with clear guidance on appropriate and inappropriate use cases |
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| # Self-Operating Computer Framework - Technical Audit Report | |||
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| **Audit Date:** November 26, 2025 | |||
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The audit date is listed as "November 26, 2025", but according to the system instructions, the current date is November 2025 (and knowledge cutoff is January 2025). This appears to be a future date. Consider using the actual date when the audit was performed or clarify if this is intentional.
| **Audit Date:** November 26, 2025 | |
| **Audit Date:** November 1, 2025 |
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| **Audit Completed:** November 26, 2025 | ||
| **Auditor:** Claude (Sonnet 4.5) |
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The auditor is listed as "Claude (Sonnet 4.5)". However, Claude 3.5 Sonnet is the latest known model as of the knowledge cutoff (January 2025). "Sonnet 4.5" may not exist yet. Consider updating to "Claude 3.5 Sonnet" or clarifying if this is speculative/future documentation.
| **Auditor:** Claude (Sonnet 4.5) | |
| **Auditor:** Claude 3.5 Sonnet |
| export 'customers' table to ~/backups/customers_2025-11-26.sql" | ||
| ``` | ||
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| **Automated Steps:** | ||
| 1. Launches MySQL Workbench: | ||
| - macOS: Cmd+Space → types "MySQL Workbench" → Enter | ||
| - Windows: Win key → types "MySQL Workbench" → Enter | ||
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| 2. Waits for application to load (identifies welcome screen) | ||
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| 3. Identifies saved connection "Production DB" in connections panel | ||
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| 4. Double-clicks connection to initiate connection | ||
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| 5. Handles authentication: | ||
| - Enters password from system keychain (if prompted) | ||
| - Or uses saved credentials | ||
| - Clicks "Connect" | ||
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| 6. Waits for connection to establish (looks for "Connected" status) | ||
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| 7. Navigates schema tree in left sidebar: | ||
| - Expands "Schemas" section | ||
| - Finds production database | ||
| - Expands "Tables" folder | ||
| - Locates "customers" table | ||
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| 8. Exports table: | ||
| - Right-clicks "customers" table | ||
| - Hovers over "Table Data Export Wizard" | ||
| - Clicks "Export to Self-Contained File" | ||
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| 9. Configures export settings: | ||
| - Format: SQL INSERT statements | ||
| - Output file: ~/backups/customers_2025-11-26.sql | ||
| - Include CREATE TABLE: Yes | ||
| - Include DROP TABLE: No | ||
| - Extended inserts: Yes (for faster restore) | ||
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| 10. Clicks "Start Export" button | ||
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| 11. Monitors progress bar until completion | ||
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| 12. Verifies export: | ||
| - Checks file exists at ~/backups/ | ||
| - Verifies file size > 0 bytes | ||
| - Reads first few lines to confirm valid SQL | ||
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| 13. Reports: | ||
| ``` | ||
| ✅ Backup completed successfully | ||
| File: ~/backups/customers_2025-11-26.sql | ||
| Size: 2.3 MB | ||
| Rows: ~15,000 records | ||
| Duration: 45 seconds | ||
| ``` | ||
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| **Expected Results:** | ||
| - Database table exported to SQL file | ||
| - Backup saved with dated filename | ||
| - File integrity verified | ||
| - Total time: ~2 minutes (vs. 5 minutes manually) | ||
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| **Best Practices:** | ||
| - Use read-only connection for safety | ||
| - Schedule daily backups with cron/Task Scheduler | ||
| - Compress large exports (add `.gz` extension) | ||
| - Test restore process periodically | ||
| - Rotate old backups (keep last 30 days) | ||
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| **Real-World Applications:** | ||
| - Database administrators automating backups | ||
| - DevOps teams implementing DR strategies | ||
| - Small businesses without backup software | ||
| - Developers creating data snapshots before migrations | ||
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| **Advanced Variations:** | ||
| ```bash | ||
| # Backup all tables | ||
| operate | ||
| > "Export all tables from production database to | ||
| ~/backups/full_backup_2025-11-26/, one file per table" | ||
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| # Backup to cloud storage | ||
| operate | ||
| > "Backup customers table, then upload the SQL file | ||
| to Google Drive in the 'DB Backups' folder" | ||
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| # Automated weekly backup | ||
| # (Combined with cron job) | ||
| 0 2 * * 0 /usr/local/bin/operate -m gpt-4-with-ocr \ | ||
| --prompt "Backup all tables from production DB" | ||
| ``` | ||
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| --- | ||
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| ### Scenario 5.2: System Monitoring Dashboard Check | ||
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| **Objective:** | ||
| ```bash | ||
| operate | ||
| > "Open monitoring dashboard at http://grafana.internal, | ||
| check CPU and memory metrics for server-prod-01, | ||
| take screenshot if any metric exceeds 80%, | ||
| send email alert to ops-team@company.com" | ||
| ``` | ||
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| **Automated Steps:** | ||
| 1. Opens web browser (or uses existing window) | ||
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| 2. Navigates to http://grafana.internal | ||
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| 3. Handles authentication: | ||
| - Logs in via SSO (clicks "Sign in with Google") | ||
| - Or enters username/password if needed | ||
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| 4. Waits for dashboard to load | ||
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| 5. Navigates to correct dashboard: | ||
| - Clicks "Dashboards" menu | ||
| - Searches for "Infrastructure Overview" | ||
| - Clicks dashboard link | ||
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| 6. Applies server filter: | ||
| - Finds dropdown labeled "Server" | ||
| - Clicks to expand options | ||
| - Selects "server-prod-01" | ||
| - Waits for metrics to refresh | ||
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| 7. Reads metrics using OCR: | ||
| - **CPU Gauge**: Identifies gauge widget | ||
| - Reads value: "CPU: 73%" | ||
| - Status: Normal (< 80%) | ||
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| - **Memory Gauge**: Identifies gauge widget | ||
| - Reads value: "Memory: 89%" | ||
| - Status: ⚠️ High (> 80%) | ||
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| - **Disk Gauge**: | ||
| - Reads value: "Disk: 45%" | ||
| - Status: Normal | ||
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| - **Network Graph**: | ||
| - Identifies trend (stable/increasing) | ||
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| 8. Detects threshold violation (Memory > 80%) | ||
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| 9. Takes screenshot: | ||
| - Uses built-in screenshot function | ||
| - Saves to /tmp/grafana_alert_2025-11-26_14-30.png | ||
| - Crops to relevant dashboard area | ||
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| 10. Composes alert email: | ||
| - Opens Mail app (Cmd+N for new message) | ||
| - To: ops-team@company.com | ||
| - Subject: "⚠️ High Memory Alert: server-prod-01" | ||
| - Body: | ||
| ``` | ||
| Alert triggered at 2:30 PM on Nov 26, 2025 | ||
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| Server: server-prod-01 | ||
| Metric: Memory Usage | ||
| Current Value: 89% | ||
| Threshold: 80% | ||
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| Other Metrics: | ||
| - CPU: 73% (Normal) | ||
| - Disk: 45% (Normal) | ||
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| Dashboard: http://grafana.internal/d/infrastructure | ||
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| Please investigate and take action if necessary. | ||
| ``` | ||
| - Attaches screenshot | ||
| - Clicks "Send" | ||
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| 11. Logs alert to file: | ||
| - Appends entry to ~/monitoring_alerts.log | ||
| - Format: `2025-11-26 14:30:00 | server-prod-01 | Memory | 89%` | ||
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| 12. Reports: | ||
| ``` | ||
| ⚠️ Alert detected and sent | ||
| Server: server-prod-01 | ||
| Issue: Memory usage at 89% (threshold: 80%) | ||
| Action: Email sent to ops-team@company.com | ||
| Screenshot: /tmp/grafana_alert_2025-11-26_14-30.png |
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Throughout the Database Backup and System Monitoring examples (Scenarios 5.1 and 5.2), hardcoded dates like "2025-11-26" appear in filenames, timestamps, and example outputs. While these serve as concrete examples, consider adding a note that users should update dates appropriately, or use dynamic placeholders like $(date +%Y-%m-%d) in the documentation to make examples more reusable.
| #### Scenario 5.1: Database Backup via GUI Tool | ||
| ``` | ||
| Objective: "Open MySQL Workbench, connect to production database, | ||
| export 'customers' table to ~/backups/customers_2025-11-26.sql" |
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Similar to USE_CASES.md, this example uses hardcoded date "customers_2025-11-26.sql". Consider using dynamic date placeholders for consistency.
| export 'customers' table to ~/backups/customers_2025-11-26.sql" | |
| export 'customers' table to ~/backups/customers_{YYYY-MM-DD}.sql" |
| Known Vulnerabilities: | ||
| - urllib3==2.0.7: CVE-2023-45803 (Request smuggling) | ||
| - Pillow==10.1.0: Check for buffer overflow issues |
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The vulnerability scanner output mentions CVE-2023-45803 for urllib3==2.0.7. This is marked as "(simulated - should run actual scan)" which is appropriate, but the CVE reference should be verified. CVE-2023-45803 is a real vulnerability related to request smuggling in urllib3. Consider running an actual vulnerability scan with pip-audit or safety and updating this section with real results.
| ```bash | ||
| operate -m gpt-4-with-ocr | ||
| > "Open MySQL Workbench, connect to production database, | ||
| export 'customers' table to ~/backups/customers_2025-11-26.sql" |
There was a problem hiding this comment.
The file path uses a hardcoded date "customers_2025-11-26.sql". In the objective string, consider using a dynamic date placeholder like customers_$(date +%Y-%m-%d).sql or documenting that users should update the date, to make the example more reusable and avoid confusion about whether this is the actual date to use.
| export 'customers' table to ~/backups/customers_2025-11-26.sql" | |
| export 'customers' table to ~/backups/customers_$(date +%Y-%m-%d).sql" |
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| **Audit Completed:** November 26, 2025 | ||
| **Auditor:** Claude (Sonnet 4.5) | ||
| **Next Review:** Recommended after implementing P0 security fixes |
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The "Next Review" section states "Recommended after implementing P0 security fixes" but doesn't provide a specific timeframe. Consider adding a suggested review interval (e.g., "Recommended within 3-6 months after implementing P0 security fixes" or "Next review: Q2 2026") to make this more actionable.
| **Next Review:** Recommended after implementing P0 security fixes | |
| **Next Review:** Recommended within 3-6 months after implementing P0 security fixes |
| **Solution:** | ||
| - Use `--verbose` mode to see AI reasoning | ||
| - Provide exact text in quotes | ||
| - Use `gpt-4.1-with-ocr` for better accuracy |
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Incorrect model name. The model should be gpt-4o-with-ocr (with the 'o'), not gpt-4.1-with-ocr. According to the AUDIT.md file, the correct model names are:
gpt-4-with-ocr(GPT-4o + OCR)gpt-4.1-with-ocr(GPT-4.1 + OCR)
This line appears to be mixing the two. Based on context, it should likely be gpt-4o-with-ocr.
| - Use `gpt-4.1-with-ocr` for better accuracy | |
| - Use `gpt-4o-with-ocr` for better accuracy |
2 participants
This commit adds extensive documentation covering both high-level architecture and low-level code analysis of the Self-Operating Computer Framework.
Changes:
Add AUDIT.md: Complete technical audit report covering:
Add USE_CASES.md: Detailed real-world use cases and scenarios:
Update README.md:
Key Audit Findings:
Recommendations: Framework suitable for research/personal use but requires significant security hardening before production deployment.
What does this PR do?
Fixes # (issue)
Requirement/Documentation
Type of change
Mandatory Tasks