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 looker-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/looker-assessment)<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/looker-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/looker-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/looker-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/looker-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00130 | $0.02066 |
| Opus 5 | $0.00065 | $0.01033 |
| Sonnet 5 | $0.00026 | $0.00413 |
| Haiku 4.5 | $0.00013 | $0.00207 |
Grade A, and why
looker-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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Looker Assessment
STATUS: working inventory (Looker REST API 4.0 driven, live-validated on
example.cloud.looker.com). Mirrorstableau-assessment/qlik-assessment: samevalue / (1 + cost)scoring, samemigrate-first / easy-win / moderate / needs-gap-scout / retiretags, and the byte-identical Sigma-branded HTML readout theme.
Read first:
refs/complexity-scoring.md— the Looker convertibility rubric (vis-type + feature buckets)refs/output-shapes.md— exactinventory.jsonshape the renderer consumes../looker-to-sigma/SKILL.md— the conversion skill this feeds into; auth recipePRIVACY.md— read-only posture
The key idea
The same translation rules that drive convert_lookml_to_sigma + the dashboard
builder (../looker-to-sigma/scripts/build_workbook.py) also predict migration
effort: bucket each dashboard tile's vis-type and hard-to-migrate features
against Sigma's coverage. Pivots / table calcs / Liquid → manual (a brief
post-conversion step in Sigma); merged results / marketplace-or-custom viz →
unhandled (no direct Sigma equivalent — review). Usage (the value axis) comes
from Looker's own System Activity model, which Looker exposes well (unlike most
BI tools where usage telemetry is the weak spot).
Read-only. Only GETs and System Activity inline queries
(POST /queries/run/json against model: system__activity). No object is created,
edited, or deleted; no warehouse content query is ever run.
UDD and LookML dashboards convert through the same path. GET /dashboards/{id}
returns user-defined (UI-built) and LookML dashboards as the same JSON shape, so the
assessment treats them identically and just records the kind for reporting. UDD is
the primary path.
Auth & environment
Looker API3 credentials in ~/.looker/looker.ini:
[Looker]
base_url=https://<host>.cloud.looker.com:19999
client_id=...
client_secret=...
verify_ssl=true
The :19999 API port matters (login there returns the bearer). scripts/looker_api.py
(copied in for self-containment) reads the ini and logs in fresh per call. Confirm
access with python3 scripts/looker_api.py whoami. Most counts need only a normal
role; the System Activity queries need a role with permission to the
system__activity model (admin or a role granted see_system_activity) — if that
permission is missing, usage falls back to 0 and dashboards score on a tile-count
proxy. Point at a different ini with --ini PATH.
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 2.3 KB
- README.md 4.1 KB
- refs/complexity-scoring.md 3.9 KB
- refs/environment.md 5.7 KB
- refs/output-shapes.md 5.1 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/looker_api.py 7.3 KB runs code
- scripts/looker-inventory.py 18 KB runs code
- scripts/render-readout-html.rb 40 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 · 146 lines · 130 tokens per session scan A 2237e2d7b431
looker-assessment is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed yesterday), licensed MIT. It adds 130 tokens to every session and 2,066 once invoked, about $0.0006 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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