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/data-catalog-entry

@fcb0454

Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.

Use this Skill: https://skilld.dev/gh/nimrodfisher/data-analytics-skills/data-catalog-entry

This session only. Nothing lands on disk.

assetscatalog_entry_template.md

≈451 tokens on demand. Your agent reads this file only when SKILL.md points to it.

[table_name]

Overview

Name: [schema.table_name] Type: table / view / materialized view Domain: [Finance / Product / Marketing / Operations / Other] Criticality: critical / high / medium / low

Description: [One sentence: what business process or entity does this table represent?]

Grain: [What does one row represent? e.g., "One row per order, captured at the time of placement"]


Ownership

  • Business Owner: [name / team]
  • Technical Owner: [name / team]
  • Last reviewed: [YYYY-MM-DD]

Schema

Row Count (at extraction): [n] Extracted: [YYYY-MM-DD HH:MM UTC]

Column Type Nullable Keys Description Example values
[column] [type] Yes / No PK / FK / — [business meaning] [example]

Relationships

Primary key: [column(s)]

Foreign keys:

Column References
[column] [schema.table.column]

Data Quality

  • Completeness: [%] — [notes on which fields may be NULL and why]
  • Freshness: [Last updated: / Refresh schedule: ]
  • Known issues:
    • [Issue 1 — e.g., "Records before 2022-01-01 use a different status enum"]
    • [none]

Lineage

Upstream sources:

  • [source table or system]

Downstream consumers:

  • [dashboard / report / dbt model / ML feature]

Access & Governance

Access level: public / restricted / confidential Sensitivity: none / PII / financial / health Compliance tags: SOX / GDPR / HIPAA / CCPA / none

Access instructions: [How to request access — e.g., "Submit a request via the data access portal, approved by [team]"]


Sample query

SELECT *
FROM [schema].[table_name]
LIMIT 10;

Template: catalog_entry_template.md

Source: SKILL.md on GitHub

1 warning16d4 checks · Risk MEDIUM
  • Gen Agent Trust Hub16d

    The skill includes a Python automation script that is vulnerable to SQL injection and encourages insecure credential handling by passing database passwords in plain text via command-line arguments.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at fcb0454. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 5 days ago.

Activeupdated 5 months ago

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