← Back to Skills Marketplace
399
Downloads
0
Stars
3
Active Installs
3
Versions
Install in OpenClaw
/install data-quality-operations
Description
Data quality validation patterns for daily checks and anomaly follow-up.
README (SKILL.md)
Data Quality Operations
Use when dataset freshness/completeness checks must be run consistently.
Inputs to Gather
- Primary target (service, team, or dataset)
- Current impact and urgency
- Assigned owner and deadline
Core Commands
dq profile --dataset \x3Cname>dq validate --rule-set \x3Cid>dq anomaly --open --metric \x3Cname>workflow checklist --from templates/checklist.mdworkflow report --from templates/report.md
Operating Notes
- Prefer explicit owner assignment before action.
- Keep timeline notes concise and timestamped.
- Save output artifacts for audit and handoff.
- This version adds a structured report template for post-task summaries.
Version marker: data-quality-operations 1.2.0
Usage Guidance
This skill appears to be a set of runbooks/templates for data-quality checks and is internally consistent. Before installing, verify what the 'dq' and 'workflow' commands are on your system (which binaries or services they map to), and confirm you trust those tools — they will perform the actual work and might require credentials or network access. Also note the small naming inconsistencies (package name/version/healthcheck text) which look like copy-paste errors; they are not dangerous but you may want to ask the publisher to correct them for clarity.
Capability Analysis
Type: OpenClaw Skill
Name: data-quality-operations
Version: 1.2.0
The skill bundle provides standard templates and command definitions for data quality monitoring and reporting. The scripts (echo-version.sh, healthcheck.sh) are trivial and harmless, and the instructions in SKILL.md are strictly aligned with the stated purpose of dataset validation and reporting without any signs of malicious intent, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
The SKILL.md, templates, and tiny helper scripts are coherent with a data-quality operations checklist/reporting skill. However, the top-level name shown as "1.2.0" and the healthcheck script echoing a different skill name ("pipiwu-benchmark-delta-skill") look like copy-paste or packaging lapses—these are sloppy but not inherently dangerous.
Instruction Scope
Runtime instructions are limited to running external commands (dq profile/validate/anomaly and workflow checklist/report) and using included templates; the SKILL.md does not instruct reading unrelated system files or exporting data to unknown endpoints. Note: the actual behavior depends on what the external 'dq' and 'workflow' binaries/tools do—those tools could contact services or require credentials, but that is outside this skill's files.
Install Mechanism
There is no install spec and only two tiny shell scripts plus templates are included. No downloads or archive extraction are present.
Credentials
The skill declares no required environment variables, no credentials, and the SKILL.md does not reference any secrets or unexpected env vars. This is proportionate for a checklist/reporting template skill.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence. Model invocation is allowed (default), which is normal for user-invocable skills and not a red flag here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install data-quality-operations - After installation, invoke the skill by name or use
/data-quality-operations - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
- Added a structured report template for post-task summaries.
- Introduced the command: workflow report --from templates/report.md.
- Updated documentation to reflect new reporting workflow.
- Minor updates to asset and script files for version 1.2.0.
v1.1.0
- Added an operations checklist template for handoffs.
- Introduced `workflow checklist --from templates/checklist.md` to core commands.
- Updated operating notes to reflect new checklist template.
- Minor updates to scripts and documentation for version 1.1.0.
v1.0.0
Initial release providing core data quality validation operations:
- Introduces daily dataset freshness and completeness check patterns.
- Supports commands for profiling, rule-based validation, and anomaly monitoring.
- Guides on owner assignment, urgency tracking, and auditing outputs.
- Targeted for consistent quality monitoring and anomaly follow-up.
Metadata
Frequently Asked Questions
What is 1.2.0?
Data quality validation patterns for daily checks and anomaly follow-up. It is an AI Agent Skill for Claude Code / OpenClaw, with 399 downloads so far.
How do I install 1.2.0?
Run "/install data-quality-operations" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 1.2.0 free?
Yes, 1.2.0 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does 1.2.0 support?
1.2.0 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 1.2.0?
It is built and maintained by Yikun Fu (@jiarani); the current version is v1.2.0.
More Skills