Is SCD Implementation Generator safe to install?

SaferSkills independently audited SCD Implementation Generator (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

library/specializations/data-engineering-analytics/skills/scd-implementation-generator/SKILL.md · 1 file

library/specializations/data-engineering-analytics/skills/scd-implementation-generator/SKILL.md1.7 KB · Markdown

name: SCD Implementation Generator

description: Generates Slowly Changing Dimension implementations across platforms

version: 1.0.0

category: Data Modeling

skillId: SK-DEA-016

allowed-tools:

- Read

- Write

- Edit

- Glob

- Grep

- Bash

SCD Implementation Generator

Overview

Generates Slowly Changing Dimension implementations across platforms. This skill automates the creation of SCD patterns for proper historical tracking.

Capabilities

SCD Type 1/2/3/4/6 implementation
MERGE statement generation
dbt snapshot configuration
Historical tracking optimization
Surrogate key management
Effective date handling
Current flag management
Mini-dimension design

Input Schema

{
  "dimension": {
    "name": "string",
    "columns": ["object"],
    "businessKey": ["string"]
  },
  "scdType": "1|2|3|4|6",
  "platform": "snowflake|bigquery|redshift|dbt",
  "trackingColumns": ["string"]
}

Output Schema

{
  "ddl": "string",
  "mergeStatement": "string",
  "dbtConfig": "object",
  "documentation": "string"
}

Target Processes

SCD Implementation
Dimensional Model Design
dbt Model Development

Usage Guidelines

Define dimension structure with business keys
Select appropriate SCD type for business requirements
Specify target platform for syntax generation
Identify columns to track for historical changes

Best Practices

Use SCD Type 2 for attributes requiring full history
Implement surrogate keys for dimension tables
Use effective dates rather than just current flags
Consider mini-dimensions for rapidly changing attributes
Test SCD logic with representative change scenarios

SCD Implementation Generator— agent skill

Is SCD Implementation Generator safe to install?

SCD Implementation Generator

Overview

Capabilities

Input Schema

Output Schema

Target Processes

Usage Guidelines

Best Practices

Audit the pieces. Scan the whole. Decide.