What is domo-assessment?

A read-only assessment tool for a Domo analytics environment. Domo is a business intelligence platform; its governance datasets contain information about the environment's data, flows, reports, and usage.

Use it to count Domo assets, review Beast Mode calculations, identify data-security and pipeline concerns, estimate migration readiness, and create a migration shortlist.

It replaces a manual inventory with a structured view of what exists, how complex it is to convert, and which content is most worth moving.

domo-assessment — 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/domo-assessment

Made for: Claude Code.

Or install domo-to-sigma, the plugin that ships this one along with the rest of its 3 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/domo-assessment/github.svg)](https://agentmods.dev/skills/twells89/sigma-migration-skills/domo-assessment)

Your own site

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

Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,250 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	$0.00101	$0.03250
Opus 5	$0.00051	$0.01625
Sonnet 5	$0.00020	$0.00650
Haiku 4.5	$0.00010	$0.00325

Measured 12d ago against content hash 370b64808c21, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

domo-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 12d ago.

The scan reads SKILL.md. This mod also ships 19 executable files (run-offline.sh, scripts/bootstrap.ps1, scripts/bootstrap.sh, …), 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/domo-to-sigma/skills/domo-assessment/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domo Assessment

STATUS: offline-complete (hermetic fixture pipeline, both governance tiers); live not yet validated. The four pipeline scripts run end-to-end against committed Tier A / Tier B fixtures (bash run-offline.sh) and the repo test suite. What remains live: confirming the exact governance-dataset names/column schemas on first contact with a real Domo instance (see "Open work" below) — this skill defers that, consistent with this repo's rule of never calling something validated until it's proven live.

Read first:

refs/governance-datasets.md — which Governance/DomoStats system datasets power which section, the SQL query pattern, and the offline fixture filenames
refs/complexity-scoring.md — the Domo convertibility rubric (Beast Mode bucketing + card-type coverage + structural flags)
refs/output-shapes.md — exact JSON shapes each stage reads/writes
refs/readout-template.md — the readout.md section layout
../domo-to-sigma/SKILL.md — the conversion skill this feeds into; auth recipe

The key idea

Domo's admin-installable DomoStats and Governance Datasets connectors materialize the instance's own metadata (DataSets, DataFlows, Pages, Cards, Users, PDP policies, Activity Log) as ordinary DataSets — queryable via the public, documented POST /v1/datasets/query/execute/{id} endpoint with plain MySQL SQL. That's Domo's analog of Tableau Admin Insights: no private-API scraping is required just to build an inventory. Card-level Beast Mode SQL text (the real complexity signal) is only visible either through a DOMO_DEV_TOKEN against the private card-definition API, or — on instances where it's installed — through a public Beast Modes governance dataset. Whichever is reachable determines the assessment's tier:

Tier A — Beast Mode SQL is visible. Every card's Beast Modes are bucketed auto/manual/unhandled (same convert_sql_to_sigma_formula coverage rules domo-to-sigma uses) and folded into cost/score.
Tier B — public API only. Beast Mode buckets are forced to zero; cost/ score are driven by structural flags (PDP, DataFlow-sourced) and usage only. The shortlist is directional, not precise (see refs/complexity-scoring.md §4).

Read the full file on GitHub · 211 lines

Files

What ships with it

41 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 · 211 lines · 101 tokens per session scan A 370b64808c21

Subscribe to this mod's changes

domo-assessment is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 3,250 once invoked, about $0.0005 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.

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