agentCLAWHUBUnverified
Etl
Build ETL pipelines with data ingestion, cleaning, and validation steps. Use when ingesting sources, transforming formats, validating data, or scheduling loads. Skill: Etl Owner: bytesagain-lab Summary: Build ETL pipelines with data ingestion, cleaning, and validation steps. Use when ingesting sources, transforming formats, validating data, or scheduling loads. Tags: latest:2.0.1 Version history: v2.0.1 | 2026-03-18T10:42:45.262Z | user update v2.0.0 | 2026-03-17T19:14:15.965Z | user v2.5 standard: Use-when desc, homepage, source, security fix v1.0.5 | 2026-03-16T12:21:43.71
OpenClaw
Rank
62
Safety
84
Downloads
1.3k
Updated
Oct 10, 2026
Version
2.0.1
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.3K downloadsadoption · observed Oct 10, 2026
- Latest release
- 2.0.1release · observed Mar 18, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s174pq5f3gzez3838vt2642fmx848f1d:etl- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-bytesagain-lab-etl/snapshot"
Documentation
CLAWHUB
19,462 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
--- name: etl version: "2.0.0" author: BytesAgain homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills license: MIT-0 tags: [etl, tool, utility] description: "Build ETL pipelines with data ingestion, cleaning, and validation steps. Use when ingesting sources, transforming formats, validating data, or scheduling loads." --- # ETL Extract-Transform-Load data toolkit (v2.0.0). Record and manage data pipeline activities across the full ETL lifecycle — ingest, transform, query, filter, aggregate, visualize, export, sample, schema definition, validation, pipeline orchestration, and data profiling. Each command logs timestamped entries to its own log file, giving you a structured record of all data operations. ## Commands | Command | Description | |---------|-------------| | `etl ingest <input>` | Record a data ingestion event (source, format, row count, etc.). Without args, shows recent ingest entries. | | `etl transform <input>` | Log a transformation step (column rename, type cast, normalization, etc.). Without args, shows recent transforms. | | `etl query <input>` | Record a query operation or SQL statement. Without args, shows recent queries. | | `etl filter <input>` | Log a filtering rule or condition applied to data. Without args, shows recent filters. | | `etl aggregate <input>` | Record an aggregation step (GROUP BY, SUM, AVG, etc.). Without args, shows recent aggregations. | | `etl visualize <input>` | Log a visualization request or chart configuration. Without args, shows recent visualizations. | | `etl export <input>` | Record an export operation (destination, format, row count). Without args, shows recent exports. | | `etl sample <input>` | Log a data sampling step (sample size, method, seed). Without args, shows recent samples. | | `etl schema <input>` | Record a schema definition or schema change. Without args, shows recent schema entries. | | `etl validate <input>` | Log a data validation rule or result. Without args, shows recent validations. | | `etl pipeline <input>` | Record a pipeline configuration or execution step. Without args, shows recent pipeline entries. | | `etl profile <input>` | Log a data profiling result (null counts, distributions, anomalies). Without args, shows recent profiles. | | `etl stats` | Show summary statistics: entry counts per category, total entries, data size, and earliest record date. | | `etl export <fmt>` | Export all logged data to a file. Supported formats: `json`, `csv`, `txt`. (Note: this is a different code path from the `export` log command — it exports the tool's own data.) | | `etl search <term>` | Search across all log files for a keyword (case-insensitive). | | `etl recent` | Show the 20 most recent entries from the activity history log. | | `etl status` | Health check: version, data directory, total entries, disk usage, last activity. | | `etl help` | Show the built-in help with all available commands. | | `etl version` | Print the current version (v2.0.0). |
_meta.json
{
"ownerId": "kn76vqrf94wk924mddj8fp4p5x8497tb",
"slug": "etl",
"version": "2.0.1",
"publishedAt": 1773830565262
}skill-card.md
## Description: Build ETL pipelines with data ingestion, cleaning, and validation steps. Use when ingesting sources, transforming formats, validating data, or scheduling loads. This skill is ready for commercial/non-commercial use. ## Publisher: [bytesagain-lab](https://clawhub.ai/user/bytesagain-lab) ### License/Terms of Use: MIT-0 ## Use Case: Developers and data teams use this skill to record ETL pipeline activity, validation notes, schema changes, profiling results, and exports in local plaintext logs. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: The skill stores user-entered ETL activity notes in local plaintext logs. Mitigation: Do not log passwords, API keys, private connection strings, raw sensitive records, or confidential production SQL; review permissions on ~/.local/share/etl/ on shared or backed-up machines. Risk: The skill is an ETL activity logger, not an ETL executor. Mitigation: Use it to document pipeline steps and validation results; verify actual data movement, transformations, and loads through the systems that perform those operations. ## Reference(s): - [ClawHub Etl skill page](https://clawhub.ai/bytesagain-lab/skills/etl) - [BytesAgain homepage](https://bytesagain.com) ## Skill Output: **Output Type(s):** [Text, Markdown, Shell commands, Guidance] **Output Format:** [Markdown with inline shell commands] **Output Parameters:** [1D] **Other Properties Related to Output:** [May create plaintext activity log and export files under ~/.local/share/etl/ when commands are run.] ## Skill Version(s): 2.0.1 (source: server release metadata; artifact frontmatter and script report 2.0.0) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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