qlik-assessment

qlik-assessment is a skill for Claude Code from twells89/sigma-migration-skills. It costs 95 tokens per session (884 once invoked), scanned A, original, MIT.

An assessment tool for reviewing a Qlik Cloud environment before migration. It inventories apps and related resources, then estimates how difficult each app may be to recreate in Sigma.

In plain words
What is it for?
Use it to count apps, spaces, and users; review app complexity, charts, formulas, data models, reload health, and access rules; and produce a ranked migration shortlist.
Why use it?
It helps decide which Qlik apps are good migration candidates and which may require substantial manual work. Qlik Cloud is Qlik’s hosted analytics service.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the qlik-to-sigma plugin — 2 skills shipped together

Good fit Use it to count apps, spaces, and users; review app complexity, charts, formulas, data models, reload health, and access rules; and produce a ranked migration shortlist.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/twells89/sigma-migration-skills/qlik-assessment
Install

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.

Any agent
npx skills add twells89/sigma-migration-skills --skill qlik-assessment
Clone the repo
git clone --depth 1 https://github.com/twells89/sigma-migration-skills

Made for: Claude Code.

Or install qlik-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.

agentmods badge for qlik-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/qlik-assessment/github.svg)](https://agentmods.dev/skills/twells89/sigma-migration-skills/qlik-assessment)
Your own site
<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/qlik-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/qlik-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.

agentmods 80×15 button for qlik-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/qlik-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/qlik-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 884 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00095 $0.00884
Opus 5 $0.00048 $0.00442
Sonnet 5 $0.00019 $0.00177
Haiku 4.5 $0.00010 $0.00088

Measured 12d ago against content hash 403ed5ceb071, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

qlik-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 7 executable files (scripts/bootstrap.ps1, scripts/bootstrap.sh, scripts/doctor.ps1, …), 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/qlik-to-sigma/skills/qlik-assessment/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Qlik Assessment

STATUS: working inventory (qlik-cli driven). Mirrors tableau-assessment / powerbi-assessment / domo-assessment: same value / (1 + cost) scoring and migrate-first / easy-win / moderate / needs-gap-scout / retire tags.

Read first:

  • refs/complexity-scoring.md — the Qlik convertibility rubric (expression + viz buckets)
  • ../qlik-to-sigma/refs/connection.md — qlik-cli auth + the two M2M gotchas
  • PRIVACY.md — read-only posture
  • refs/output-shapes.md — exact inventory.json shape the renderers consume
  • refs/readout-template.mdreadout.html section ordering + Sigma-branded theme

The key idea

The same convert_qlik_to_sigma translation rules that drive the converter also predict migration effort: bucket each master-measure expression (auto / manual / unhandled) and each chart's viz type against Sigma's coverage. Set Analysis → manual (Sigma SumIf); Aggr()/Dual()/selection-state/Range*unhandled.

Phases

  1. Probeqlik context use; qlik item ls --resourceType app; confirm spaces/users visibility (M2M only sees granted spaces — see connection.md). 1–2. Inventory — apps (+ itemViews, resourceReloadStatus, lastReloadTime, hasSectionAccess, isDirectQueryMode, resourceSize), spaces, users. scripts/qlik-inventory.py.
  2. Per-app complexity — master measures (Engine MeasureList) bucketed by expression; chart objects bucketed by viz type; Section Access & DirectQuery flags; data-model table count from the load script.
  3. Shortlistcost = 10·unhandled + 3·manual + 1·hint; value = itemViews × √(distinct, when available) else size/complexity proxy; score = value/(1+cost); tag.
  4. Readoutqlik-inventory.py writes inventory.json + readout.md; then scripts/render-readout-html.rb --out <dir> renders the customer-facing, Sigma-branded readout.html (same theme as tableau-assessment).
  5. Hand off — to qlik-to-sigma (ask the user which apps first).

Read the full file on GitHub · 55 lines

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.

  1. 12d ago First seen · 55 lines · 95 tokens per session scan A 403ed5ceb071

Subscribe to this mod's changes

qlik-assessment is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 884 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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