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migrating-informatica-to-dbt

migrating-informatica-to-dbt is a skill for Claude Code from hicham-bab/dbt-legacy-migration-skills. It costs 95 tokens per session (3,609 once invoked), scanned A, original, Apache-2.0.

A migration guide for converting Informatica PowerCenter data workflows into dbt projects. Informatica PowerCenter is an enterprise tool for moving and transforming data, while dbt builds tested SQL models in a data warehouse.

In plain words
What is it for?
Use it to translate transformations into dbt models, snapshots, and macros, add tests and documentation, compile and build the project, and check data parity.
Why use it?
It helps replace an existing workflow while checking that the new dbt results match the original warehouse data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

not rated 4repo 3d ago A scan 95 tokens original Apache-2.0

Good fit Use it to translate transformations into dbt models, snapshots, and macros, add tests and documentation, compile and build the project, and check data parity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hicham-bab/dbt-legacy-migration-skills/migrating-informatica-to-dbt
View source ↗ hicham-bab/dbt-legacy-migration-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hicham-bab/dbt-legacy-migration-skills --skill migrating-informatica-to-dbt
Clone the repo
git clone --depth 1 https://github.com/hicham-bab/dbt-legacy-migration-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for migrating-informatica-to-dbt

README.md
[![agentmods](https://agentmods.dev/badge/skills/hicham-bab/dbt-legacy-migration-skills/migrating-informatica-to-dbt/github.svg)](https://agentmods.dev/skills/hicham-bab/dbt-legacy-migration-skills/migrating-informatica-to-dbt)
Your own site
<a href="https://agentmods.dev/skills/hicham-bab/dbt-legacy-migration-skills/migrating-informatica-to-dbt"><img src="https://agentmods.dev/badge/skills/hicham-bab/dbt-legacy-migration-skills/migrating-informatica-to-dbt/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for migrating-informatica-to-dbt

Your own site · 80×15
<a href="https://agentmods.dev/skills/hicham-bab/dbt-legacy-migration-skills/migrating-informatica-to-dbt"><img src="https://agentmods.dev/badge/skills/hicham-bab/dbt-legacy-migration-skills/migrating-informatica-to-dbt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,609 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00095 $0.03609
Opus 5.5 $0.00038 $0.01444
Sonnet 5.5 $0.00019 $0.00722
Haiku 4.5 $0.00010 $0.00361

Measured 2mo ago against content hash 18f7f3170175, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

migrating-informatica-to-dbt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/inventory_informatica.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/migrating-informatica-to-dbt/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Migrating Informatica PowerCenter to dbt

This skill migrates an Informatica PowerCenter workflow/mapping (an XML repository export) into a governed dbt project — reproducing the ETL logic as dbt models, snapshots, and macros with tests, docs, and contracts, then proving parity against warehouse data.

The core approach: PowerCenter mappings are already declarative data flows — each transformation (Source Qualifier, Expression, Joiner, Filter, Router, Lookup, Update Strategy, Sequence Generator, Aggregator, Mapplet) maps cleanly onto a dbt model, CTE, snapshot, or macro. We inventory the whole workflow, translate mapping-by-mapping using the transformation answer key, validate each output against the existing warehouse table, and report coverage and cost.

Success criteria: Migration is complete when:

  1. dbt compile finishes with 0 errors and 0 warnings
  2. Every generated model builds (dbt build) and its tests pass
  3. Data parity is proven for each mart (row-for-row or aggregate baseline — see Step 5)
  4. ≥95% of the inventoried mappings/transformations are migrated and validated, with the residual explicitly listed for human review

Validation cost: dbt compile is the free iteration gate. Only dbt build, dbt test, and the parity queries touch the warehouse — run those after compile is clean.

This skill shares its workflow with the legacy-to-dbt-migration-foundations skill; steps below link into its references for the common work. Assume the migrator may be new to dbt — explain each dbt concept (materializations, incremental, snapshots, contracts, Fusion) in plain language as it comes up (foundations → dbt-concepts-explained.md), and explain the reason behind each choice, not just the mechanics.

Contents

Read the full file on GitHub · 264 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 264 lines · 95 tokens per session scan A 18f7f3170175

Subscribe to this mod's changes

migrating-informatica-to-dbt is a skill published in the GitHub repository hicham-bab/dbt-legacy-migration-skills (4 stars, last pushed 3d ago), licensed Apache-2.0. It adds 95 tokens to every session and 3,609 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AIDatabases
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