meta-agent: add 164 task(s) [gpt-4.1]

[gb-vmax]

Summary

• Tasks added: 31
• Model: gpt-4.1
• Candidates attempted: 117
• Candidates generated: 64
• Tasks validated: 31
• Elapsed: 57019.0s

Generated by endless-terminals meta-agent.

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What changed?

This PR adds 31 new shell scripting and system administration tasks to the agent training dataset, all generated using the endless-terminals meta-agent with GPT-4.1:

Log Analysis & Monitoring

• Extract deployment errors from logs and filter by service name (task_02b48654)
• Summarize CI/CD build failures with statistics and chronological failure lists (task_3f8ba11a)
• Aggregate and count ERROR entries from Kubernetes onboarding logs (task_253078c3)
• Identify untranslated keys across locales from translation logs (task_207933de)
• Parse compliance audit logs for allowed user access by service (task_b5c3916f)
• Extract microservice ERROR logs and generate service-level summaries (task_0bb2ba84, task_85678b4b)
• Filter web server access logs for 404 errors (task_be19ef5d)
• Analyze ping results to identify unreachable hosts (task_54de33ae)
• Parse access logs for specific users and actions (task_86d99a7f)
• Extract ERROR lines with multi-log aggregation and summarization (task_10dca18e, task_3f94bcb4, task_ae5e6ed8)

File Operations & Data Transformation

• Generate unified diffs and apply patches to HTML templates (task_19062488)
• Convert CSV to JSONL with field transformations (task_c5be50d4)
• Compress markdown files to gzip and archive with tar (task_acbcc755)
• Create and validate symbolic links for files and queries (task_508b9e99, task_bbb623cd, task_320f6a60)
• Create standardized directory structures for datasets and projects (task_4218ceab, task_cd3b1c02)
• Move files with conflict detection and error logging (task_2dfdea94)
• Extract tar.gz archives and log extracted files (task_31b33ec6)
• Create compressed diagnostic archives and verify contents (task_4ff1cebc)
• Synchronize files between directories with detailed logging (task_12c39686)
• Reorganize Kubernetes manifests into versioned directories with symlinks (task_85ee5118)

Configuration Management

• Update YAML refresh intervals with comments and audit logging (task_41aa1c00)
• Modify APP_ENVIRONMENT across YAML and TOML configs (task_a8802cba)
• Parse INI files for specific sections and extract key-value pairs (task_d28804e2, task_081e0578, task_85947420, task_c19cbb19)
• Track modified configuration keys (task_e27af10a)
• Parse and filter INI artifacts by release status (task_8d134311)
• Generate YAML/TOML workflow and settings configs with logging (task_6bbc8819)
• Update locale environment variables and log active settings (task_5b5f652a)
• Parse enabled repositories from INI and generate reports (task_0e8a0eb0)
• Sanitize i18n files by removing malicious script tags (task_b0274c40)

Database Operations

• Create SQLite tables, insert data, and query aggregated statistics (task_6545a5a6)
• Migrate SQLite data between databases with validation (task_8535bb3f, task_55b0c0d9)
• Export SQLite query results to CSV format (task_7a282754)
• Import CSV to SQLite, filter by department, export to CSV (task_5bec4786)
• Parse JSON manifests and extract pod data to CSV (task_53b77aec)
• Calculate maximum memory usage per application from CSV to JSON (task_a2131f06)
• Calculate department with highest average CPU from CSV to JSON (task_053390cb)

Security & Permissions

• Fix overly permissive file permissions recursively (task_e62dc9c4)
• Generate ed25519 SSH keypairs with proper permissions (task_90f7421e)
• Audit symbolic link structures and file permissions (task_320f6a60)
• Audit file permissions and ownership in directories (task_4126495d)
• Scan for world-writable files and generate reports (task_070928b9)
• Create users, groups, and configure directory permissions (task_59746438, task_85741908)

Data Processing & Reporting

• Calculate artifact filename frequencies with sorting (task_7902e0bb)
• Preprocess text by lowercasing and trimming whitespace (task_6f5663fd)
• Capture system resource snapshots (CPU, RAM, disk) (task_c671d231)
• Calculate sales totals from CSV files (task_aa7fa7cc)
• Clean CSV data by filtering malformed rows (task_795c0eb5)
• Transform CSV to JSONL and generate summary statistics (task_bb9c70e3)
• Use awk/sed for log parsing, text replacement, and aggregation (task_775456af, task_7f3ef7fb)

DevOps & Deployment

• List Git submodules with paths and URLs (task_ed82cf05)
• Execute Python 2 legacy scripts with output capture (task_c603b3e7, task_207c90d4, task_1ffcaec0, task_5ee54523)
• Run solver benchmarks in parallel and log results (task_9b5927ad)
• Create deployment environments with .env files and logs (task_200c9567)
• Configure monitoring alerts with restricted log permissions (task_921d7d21)
• Generate documentation and CSV summaries for solvers (task_9af089ad)
• Verify package installations and log versions (task_0804ff18, task_a962516f)
• Audit user cron jobs and generate reports (task_30234317)
• Validate Kubernetes manifests against JSON schemas (task_81f5097f)
• Parse Kubernetes YAML deployments to CSV summaries (task_9fa2646a)
• Set up Python virtual environments and run backup checks (task_a5093557)
• Configure dashboard environments and merge settings (task_a824a2b4)
• Process build artifacts with error recovery and logging (task_afc486c2)
• Create network backup archives with ping logs (task_1fbe8d23)
• Verify artifact files from INI configs (task_8d134311)
• Parse vulnerability scan results and generate summaries (task_6a1f4faa)

Each task includes:

• task.toml: Metadata with generation model (gpt-4.1), pass@k metrics (1.0), complexity, and source
• instruction.md: Role-based scenario with detailed requirements
• solution/solve.sh: Reference bash implementation
• environment/Dockerfile: Ubuntu 22.04-based container with dependencies
• tests/test_final_state.py: Comprehensive pytest validation
• tests/test.sh: Test runner with uv/pytest setup

Validation

• 31 tasks validated from 64 generated candidates (117 total attempted)
• All tasks achieve 100% pass@k metrics (k=1,2,3,4)
• Standard test environment: Ubuntu 22.04, Python 3.12, pytest 8.4.1
• Resource limits: 1 CPU, 2GB memory, 120s verifier timeout, 600s agent timeout
• Total generation time: 57,019s (~15.8 hours)
• Generated by endless-terminals meta-agent using GPT-4.1 model

^{Description generated by Mesa. Update settings}