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 qlik-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/qlik-assessment)<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.
<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>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 | $0.00095 | $0.00884 |
| Opus 5 | $0.00048 | $0.00442 |
| Sonnet 5 | $0.00019 | $0.00177 |
| Haiku 4.5 | $0.00010 | $0.00088 |
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.
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 — 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: samevalue / (1 + cost)scoring andmigrate-first / easy-win / moderate / needs-gap-scout / retiretags.
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 gotchasPRIVACY.md— read-only posturerefs/output-shapes.md— exactinventory.jsonshape the renderers consumerefs/readout-template.md—readout.htmlsection 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
- Probe —
qlik 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. - 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. - Shortlist —
cost = 10·unhandled + 3·manual + 1·hint;value = itemViews × √(distinct, when available)else size/complexity proxy;score = value/(1+cost); tag. - Readout —
qlik-inventory.pywritesinventory.json+readout.md; thenscripts/render-readout-html.rb --out <dir>renders the customer-facing, Sigma-brandedreadout.html(same theme astableau-assessment). - Hand off — to
qlik-to-sigma(ask the user which apps first).
What ships with it
14 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 1.5 KB
- README.md 4.0 KB
- refs/complexity-scoring.md 2.5 KB
- refs/environment.md 5.7 KB
- refs/output-shapes.md 4.7 KB
- refs/readout-template.md 3.6 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/qlik-inventory.py 11 KB runs code
- scripts/render-readout-html.rb 44 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.
- 12d ago First seen · 55 lines · 95 tokens per session scan A 403ed5ceb071
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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