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Gooddata Assessment

skill-twells89-sigma-migration-skills-gooddata-assessment · by twells89

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Install

$ agentstack add skill-twells89-sigma-migration-skills-gooddata-assessment

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

GoodData assessment

Read-only migration-readiness readout for a GoodData Cloud / .CN estate. Pulls the declarative layout (no writes) and scores it against what gooddata-to-sigma can actually convert.

> Status: working + live-validated. scripts/assess.py reuses the converter's > own MAQL translator for honest coverage scoring (no guessing) and tags each > dashboard AUTO / HINT / MANUAL / UNHANDLED.

What it reports

  • Inventory — workspaces, datasets, metrics, insights, dashboards.
  • MAQL complexity — histogram of metrics by construct (plain agg / WHERE /

BY-WITHIN-BY ALL context / FOR time transforms / ranking), since context + time intel are the conversion-risk drivers (maql-mapping.md).

  • Visualization mix — insight visualizationUrl histogram, with each type

tagged against viz-type-mapping.md (auto-mappable vs flagged).

  • Per-dashboard tag — AUTO (fully mappable), HINT (minor manual), MANUAL

(context MAQL / RLS review), UNHANDLED (exotic widgets / compute-only metrics).

  • Shortlist — value/cost-ranked migration order.

Usage

eval "$(../gooddata-to-sigma/scripts/get-token.sh)"
python3 scripts/assess.py --workspace      # or --all

Usage telemetry (per-dashboard view counts) is the universal weak spot — it is not in the declarative model; note it as a manual input if needed.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.