Skill: xueyetianya/data-labeler (version 2.0.0)

--- version: "2.0.0" name: Label Studio description: "Label Studio is a multi-type data labeling and annotation tool with standardized output format label studio, typescript, annotation, annotation-tool." --- # Data Labeler A data processing and labeling toolkit for ingesting, transforming, querying, and managing data entries from the command line. All operations are logged with timestamps and stored locally. ## Commands ### Data Operations Each data command works in two modes: run without arguments to view recent entries, or pass input to record a new entry. | Command | Description | |---------|-------------| | `data-labeler ingest <input>` | Ingest data — record a new ingest entry or view recent ones | | `data-labeler transform <input>` | Transform data — record a transformation or view recent ones | | `data-labeler query <input>` | Query data — record a query or view recent ones | | `data-labeler filter <input>` | Filter data — record a filter operation or view recent ones | | `data-labeler aggregate <input>` | Aggregate data — record an aggregation or view recent ones | | `data-labeler visualize <input>` | Visualize data — record a visualization or view recent ones | | `data-labeler export <input>` | Export data — record an export entry or view recent ones | | `data-labeler sample <input>` | Sample data — record a sample or view recent ones | | `data-labeler schema <input>` | Schema management — record a schema entry or view recent ones | | `data-labeler validate <input>` | Validate data — record a validation or view recent ones | | `data-labeler pipeline <input>` | Pipeline management — record a pipeline step or view recent ones | | `data-labeler profile <input>` | Profile data — record a profile or view recent ones | ### Utility Commands | Command | Description | |---------|-------------| | `data-labeler stats` | Show summary statistics — entry counts per category, total entries, disk usage | | `data-labeler export <fmt>` | Export all data to a file (formats: `json`, `csv`, `txt`) | | `data-labeler search <term>` | Search all log files for a term (case-insensitive) | | `data-labeler recent` | Show last 20 entries from activity history | | `data-labeler status` | Health check — version, data directory, entry count, disk usage, last activity | | `data-labeler help` | Show available commands | | `data-labeler version` | Show version (v2.0.0) | ## Data Storage All data is stored locally at `~/.local/share/data-labeler/`: - Each data command writes to its own log file (e.g., `ingest.log`, `transform.log`) - Entries are stored as `timestamp|value` pairs (pipe-delimited) - All actions are tracked in `history.log` with timestamps - Export generates files in the data directory (`export.json`, `export.csv`, or `export.txt`) ## Requirements - Bash (with `set -euo pipefail`) - Standard Unix utilities: `date`, `wc`, `du`, `grep`, `tail`, `cat`, `sed` - No external dependencies or API keys required ## When to Use - To log and track data processing operations (ingest, transform, query, etc.) - To maintain a searchable history of data pipeline activities - To export accumulated records in JSON, CSV, or plain text format - As part of larger automation or data-pipeline workflows - When you need a lightweight, local-only data operation tracker ## Examples ```bash # Record a new ingest entry data-labeler ingest "loaded customer_data.csv 5000 rows" # View recent transform entries data-labeler transform # Search across all logs data-labeler search "customer" # Export everything as JSON data-labeler export json # Check overall statistics data-labeler stats # View recent activity data-labeler recent # Health check data-labeler status ``` --- Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET] 💬 Feedback & Feature Requests: https://bytesagain.com/feedback


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)