What is informatica-assessment?

An assessment tool for Informatica PowerCenter workflows and mappings, which are visual data-processing jobs, during migration to Snowflake. It reads their XML source and conversion reports to classify workflows and rate complexity.

It helps analyze Informatica workflows and mappings, describe their migration characteristics, and generate JSON for a combined assessment report.

Many data workflows contain different transformations and dependencies, making migration effort hard to compare. This tool produces a structured review of each workflow for the wider assessment.

informatica-assessment — Skill for Claude Code by sfc-gh-dflippo

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 sfc-gh-dflippo/snowflake-dbt-demo --skill informatica-assessment

Clone the repo

git clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demo

Made for: Claude Code.

Or install snowflake-migration, the plugin that ships this one along with the rest of its 72 skills, 7 agents.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/informatica-assessment/github.svg)](https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/informatica-assessment)

Your own site

<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/informatica-assessment"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/informatica-assessment/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/informatica-assessment"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/informatica-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,718 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.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.01718
Opus 5	$0.00022	$0.00859
Sonnet 5	$0.00009	$0.00344
Haiku 4.5	$0.00004	$0.00172

Measured 2d ago against content hash 2431fc1560c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

informatica-assessment 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 2d ago.

The scan reads SKILL.md. This mod also ships 15 executable files (scripts/informatica_assessment_analyzer/__init__.py, scripts/informatica_assessment_analyzer/__main__.py, scripts/informatica_assessment_analyzer/analyzer.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.

.claude/skills/snowflake-migration/skills/migration/assessment/informatica-assessment/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Informatica Power Center Assessment

SnowConvert AI migrates Informatica Power Center workflows to Snowflake. This skill analyzes workflows and mappings from their source XML and SnowConvert assessment CSV reports to generate detailed migration analysis including workflow classification and complexity assessment.

Rules

Use ONLY Provided Scripts
- ONLY use the provided CLI commands: python -m informatica_assessment_analyzer
- DO NOT create custom scripts to read or manipulate the JSON file
- DO NOT use grep, jq, or other tools to parse the JSON directly
- All JSON interactions MUST go through the provided CLI
Quality Over Speed
- Each workflow deserves thorough, individual analysis
- Write specific, detailed analysis for each workflow
- DO NOT create batch analysis regardless of workflow volume
- DO NOT skip analysis steps to save time
Follow ONLY Provided Analysis Methods
- Use ONLY the workflow defined in this skill
Complete ALL Steps
- Step 4 (AI Summary) is MANDATORY before finishing
- DO NOT skip to report generation without completing all steps
- Every checkpoint in the workflow must be completed
Report Generation via Parent Skill ONLY
- The multi-report generator in the parent skill (../SKILL.md) is the ONLY approved method
- Provide the --informatica-json parameter pointing to the informatica_assessment_analysis.json file generated by this skill

Workflow

Conversion Target Context

The parent assessment skill collects informatica.target ("dbt" or "scripting") from the user at Step 4. This value is persisted to .scai/config/plugin.yml as etl_informatica_target and determines how this skill frames its analysis:

dbt: Mappings convert to dbt models. References to dbt project structure, ref(), and Snowflake Tasks calling dbt are appropriate.
scripting: Mappings convert to Snowflake stored procedures (Snowflake Scripting). Zero dbt references allowed — use stored procedure calls, inline SQL, and CALL statements instead.

Read the full file on GitHub · 168 lines

Files

What ships with it

18 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.

2d ago First seen · 168 lines · 43 tokens per session scan A 2431fc1560c2

Subscribe to this mod's changes

informatica-assessment is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed 3d ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,718 once invoked, about $0.0002 per session on Opus 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 2026-09-10.

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