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.
npx skills add twells89/sigma-migration-skills --skill thoughtspot-assessmentgit clone --depth 1 https://github.com/twells89/sigma-migration-skillsWrote 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.
[](https://agentmods.dev/skills/twells89/sigma-migration-skills/thoughtspot-assessment)<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/thoughtspot-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/thoughtspot-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.
<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/thoughtspot-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/thoughtspot-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00956 |
| Opus 5 | $0.00000 | $0.00478 |
| Sonnet 5 | $0.00000 | $0.00191 |
| Haiku 4.5 | $0.00000 | $0.00096 |
Grade A, and why
thoughtspot-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 11d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ThoughtSpot migration assessment
Read-only pre-scoping for a ThoughtSpot → Sigma migration. Complements
thoughtspot-to-sigma (which does the actual conversion). Designed for a real,
populated production instance — usage data is a first-class signal, not an
optional extra.
Auth
Same as thoughtspot-to-sigma: TS_HOST + TS_TOKEN (SSO session token or
Trusted-Auth service token). For the usage axis the identity needs admin scope so
it can read the TS: BI Server system worksheet. No Sigma credentials needed —
this only reads ThoughtSpot.
Run
scripts/scan.py — inventories the instance via metadata/search
(LOGICAL_TABLE / LIVEBOARD / ANSWER / CONNECTION), pulls per-object usage from
TS: BI Server, exports each Liveboard's TML, and per Liveboard scores migration
complexity: viz count + distinct chart kinds + models touched + TML formula and
filter weight. Writes ~/thoughtspot-migration/assessment.json.
Then render the customer-facing report:
ruby scripts/render-readout-html.rb --out ~/thoughtspot-migration
→ ~/thoughtspot-migration/readout.html (Sigma-branded, share-friendly).
scripts/render-readout-html.rb is the canonical renderer (the old
render_html.py is superseded — keep using the Ruby one for parity with the
tableau / powerbi / qlik / quicksight assessment skills).
What the readout covers
- 01 Environment overview — KPI tiles: Liveboards, Answers, models/worksheets, tables, connections.
- 02 Liveboard priority & usage — usage-ranked with bars from
TS: BI Server; cold / zero-view detection for retirement candidates. - 03 Ownership & concentration — Liveboards by author; top-author concentration.
- 04 Data-source patterns — Embrace (live warehouse) vs Falcon (in-memory), file-uploaded tables flagged for warehouse landing.
- 05 User activity — per-user action volume (only when
TS: BI Serverusage is present). - Migration shortlist + per-Liveboard complexity — value/cost ranking, tag pills (migrate-first / easy-win / needs-review / retire), chart-type coverage, and the set of models the Liveboards depend on (migrate these first).
What ships with it
17 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.
- PRIVACY.md 3.8 KB
- README.md 3.7 KB
- refs/environment.md 5.7 KB
- refs/output-shapes.md 3.4 KB
- refs/readout-template.md 2.9 KB
- refs/token-model.json 3.6 KB
- scripts/bootstrap.ps1 41 KB runs code
- scripts/bootstrap.sh 44 KB runs code
- scripts/doctor.ps1 24 KB runs code
- scripts/doctor.sh 34 KB runs code
- scripts/dup-dashboards.py 13 KB runs code
- scripts/get_token.py 8.2 KB runs code
- scripts/get-token.sh 4.4 KB runs code
- scripts/render_html.py 7.3 KB runs code
- scripts/render-readout-html.rb 43 KB runs code
- scripts/scan.py 14 KB runs code
- scripts/ts_lib.py 4.1 KB runs code
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 · 72 lines · 0 tokens per session scan A 5a7ef68136d1
thoughtspot-assessment is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 956 tokens. 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.
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