What is thoughtspot-to-sigma?

A migration guide for recreating ThoughtSpot models, worksheets and Liveboards in Sigma. ThoughtSpot and Sigma are business-intelligence tools for modelling data and building dashboards.

Exporting ThoughtSpot models, converting them into Sigma data models, building workbooks and dashboards, and verifying that the result matches.

It catches common workbook specification errors before they are sent to Sigma and provides checks for matching the original dashboards.

thoughtspot-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/thoughtspot-to-sigma

Made for: Claude Code.

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

Your own site

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

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 8,013 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Rogue Agent · line 3
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.

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	$0.00072	$0.08013
Opus 5	$0.00036	$0.04006
Sonnet 5	$0.00014	$0.01603
Haiku 4.5	$0.00007	$0.00801

Measured 12d ago against content hash 8cc548f3e6e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

thoughtspot-to-sigma scanned grade A with 1 finding 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 12d ago.

The scan reads SKILL.md. This mod also ships 37 executable files (converter/thoughtspot.mjs, scripts/apply_layouts.py, scripts/apply_sigma_rls.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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

context (curl uses the system store and works).

plugins/thoughtspot-to-sigma/skills/thoughtspot-to-sigma/SKILL.md · 431 lines

How it starts

The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ThoughtSpot → Sigma migration

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.

Preflight the workbook spec before POST (mandatory)

Before POSTing any workbook spec, run ruby scripts/lib/preflight_lint.rb <spec.json> — it exits 1 with a precise message on the two migration-killer bugs: a table with aggregate columns + dimensions but no groupings (renders raw detail rows), and a malformed control (missing id/controlId/controlType or nesting value fields under a value object instead of flat, a non-double-nested source, or a list control wired to neither source nor filters — a filters-only list control is valid). Fix every violation first — never POST past it, and never conclude a feature is "unsupported" from an Invalid kind error (it means the inner fields are wrong). Verified shapes: sigma-workbooks controls.md / tables.md.

Phase 0 — Choose where to build (ask first when no destination given)

Don't silently land the migrated data model + workbook in an auto-picked folder. If the user didn't supply a destination (no SIGMA_FOLDER_ID), ASK before building:

python3 scripts/pick_destination.py list → { workspaces, folders (editable, with parentName), myDocuments }
Let the user pick ONE: a workspace (its id lands content in the workspace root), an existing folder, My Documents (when non-null — null for service tokens), or create a new folder: python3 scripts/pick_destination.py create --name "<name>" [--parent <workspace-or-folder-id>]
Export the chosen id as SIGMA_FOLDER_ID=<id>. folderId accepts a workspace id or a folder id.

If SIGMA_FOLDER_ID is already set, honor it silently — don't ask.

READ FIRST — refs/operating-contract.md: the fidelity guardrails (render + value-check EVERY page against the source; never ship empty or silently drop a tile; don't spin — surface blockers). 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.

Read the full file on GitHub · 431 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.

12d ago First seen · 431 lines · 72 tokens per session scan A 8cc548f3e6e3

Subscribe to this mod's changes

thoughtspot-to-sigma is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 8,013 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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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thoughtspot-to-sigma