$29.00
AI OverviewGenerated from SKILL.md
Core usage
This skill audits a data pipeline end to end by connecting to the warehouse and profiling every table involved. It flags schema drift, stale partitions, duplicates, and row-count drops, then produces a prioritized remediation plan with owners and effort estimates. To use it, provide connection details and the pipeline job list, run the profiler over the last 30 days of runs, and review the generated findings report.
Key advantages
It delivers a broad, pipeline-wide audit in a single pass rather than focusing on isolated tables or checks. The output includes a prioritized remediation plan with ownership and effort estimates, making findings directly actionable. It also produces structured deliverables such as a pipeline audit markdown file, data quality scores CSV, and remediation plan document.
Limitations
The skill depends on the user supplying accurate connection details and a pipeline job list, so incomplete input limits coverage. Its profiling window is limited to the last 30 days of runs, which may miss longer-term issues. It does not appear to provide real-time monitoring or continuous validation beyond the audit snapshot.
Target audience
This is intended for data engineers, data platform owners, and analytics teams responsible for maintaining pipeline reliability and data quality. It is also useful for teams that need to prioritize quality fixes and assign owners and effort estimates for remediation.
Risks & notes
Connecting the skill to a warehouse requires access to sensitive credentials and should only be done in secure, authorized environments. Findings should be reviewed by a human before assigning fixes, since automated profiling may flag issues that need context or verification. Remediation plan owner and effort estimates are generated from the audit and should be validated before committing resources.
DescriptionWritten by the seller
Use caseInput → Output
Input
Warehouse credentials + job list -> pipeline audit + remediation plan
Output
Warehouse credentials + job list -> pipeline audit + remediation plan
How it worksImport to your platform and run
1
Connect warehouseTrigger
Profiles schema and metadata
2
Detect anomaliesAI action
Flags drift, staleness, duplicates
3
Score qualityAI action
Computes per-table quality scores
4
Write remediation planOutput
Prioritized fixes with owners
Item details
Use case
AI Skills
Capability
Data & Analysis
Agents
Codex, Gemini
Version
2.0.0
First seen
Aug 14, 2026
Installs
88
License
Non-exclusive
Last update
Aug 14, 2026
InstallCompatible with agent skill ecosystem
npx skills add https://github.com/ictcoder/data-pipeline-analyzer --skill data-pipeline-analyzer
What you get
Security ScanS+Score 100/100 · 0 findings · 2026-08-15 21:30:55
Static analysis100
Dynamic behavior100
Dependencies100
Network100
Privacy100
Threat intel100
✓ 未发现安全问题，六维检测全部通过。
Security scan generated by TopTinker automated engine from SKILL.md static analysis, for pre-install reference only. Third-party skills carry their own runtime risk.
Guarantees
Escrow paymentOn
Platform holds funds until delivery is confirmed
Install verified
Free download - install & run before you pay
Source transparency
Original GitHub repo linked & verified
No refunds after download
Digital product - disputes arbitrated on evidence only
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