What is gooddata-to-sigma?

A migration workflow for moving GoodData Cloud or GoodData.CN analytics workspaces into Sigma. GoodData workspaces contain datasets, metrics, reports, and dashboards; Sigma is a separate analytics platform.

Use it to migrate GoodData datasets, MAQL metrics, insights, and dashboards to Sigma, after checking the local environment and following the required modeling and parity checks.

It provides a defined export and mapping process for recreating the source data model and analytics while checking that results match.

gooddata-to-sigma — Skill for Claude Code by twells89

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/twells89/sigma-migration-skills

agentmods

npx agentmods add skills/twells89/sigma-migration-skills/gooddata-to-sigma

Made for: Claude Code.

Or install gooddata-to-sigma, the plugin that ships this one along with the rest of its 2 skills.

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/twells89/sigma-migration-skills/gooddata-to-sigma/github.svg)](https://agentmods.dev/skills/twells89/sigma-migration-skills/gooddata-to-sigma)

Your own site

<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/gooddata-to-sigma"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/gooddata-to-sigma/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/twells89/sigma-migration-skills/gooddata-to-sigma"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/gooddata-to-sigma.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 219 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,891 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00219	$0.02891
Opus 5	$0.00110	$0.01445
Sonnet 5	$0.00044	$0.00578
Haiku 4.5	$0.00022	$0.00289

Measured 11d ago against content hash 7a13eb6a1a34, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gooddata-to-sigma 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 11d ago.

The scan reads SKILL.md. This mod also ships 37 executable files (scripts/bootstrap.ps1, scripts/bootstrap.sh, scripts/build_workbook.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.

plugins/gooddata-to-sigma/skills/gooddata-to-sigma/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GoodData → Sigma

Windows / first run — run the environment doctor before anything else: bash scripts/doctor.sh (macOS/Linux/Git Bash) or powershell -ExecutionPolicy Bypass -File scripts\doctor.ps1 (Windows). It checks Ruby/Python/Node/bash and flags the Python "Store stub" + CRLF with exact fixes. Details: refs/environment.md. Modeling strategy — refs/modeling-strategy.md: faithful reproduction of the source model is the DEFAULT (parity is the gate); an upstream OBT or Sigma-native materialization is an OPT-IN optimization for hot, join-heavy dashboards, re-verified against the same parity oracle. The converter never auto-flattens.

Status: LIVE-VALIDATED — exact parity, data model + workbook. Proven end-to-end on a GoodData Cloud trial → Sigma (both on Snowflake): a workspace (LDM + MAQL metrics + insights + dashboard) migrated to a Sigma data model + workbook with exact parity on metrics and the relationship-backed by-region breakdown; the BY ALL share metric was correctly flagged. Build order, risks, and remaining work (live FOR-PREVIOUS date-intel) are in refs/design-notes.md. Still: never claim a specific conversion works until it passes live parity for that workspace.

Recreate a GoodData workspace in Sigma, in the same phase structure as the sibling converters (Tableau, Power BI, Qlik, Cognos, MicroStrategy, SSRS, …). This skill defers all workbook-spec authoring to the sigma-workbooks skill and all data-model authoring to sigma-data-models.

Read these first

refs/gooddata-api.md — Cloud/.CN declarative export API, auth, LDM + analytics shape.
refs/gooddata-platform-api.md — legacy Platform (/gdc) API, SST/TT auth, classic MAQL.
refs/maql-mapping.md — MAQL → Sigma formula contract (the hard part).
refs/viz-type-mapping.md — insight + dashboard → Sigma element mapping.
refs/design-notes.md — full architecture, parity, RLS, risks, build order.

Converter architecture (read if you know the other migration skills)

Read the full file on GitHub · 192 lines

Files

What ships with it

60 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.

11d ago First seen · 192 lines · 219 tokens per session scan A 7a13eb6a1a34

Subscribe to this mod's changes

gooddata-to-sigma is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed today), licensed MIT. It adds 219 tokens to every session and 2,891 once invoked, about $0.0011 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 2026-08-30.

Analytics and metrics

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