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 powerbi-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/powerbi-assessment)<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/powerbi-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/powerbi-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/powerbi-assessment"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/powerbi-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 82 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 191 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00147 | $0.03783 |
| Opus 5 | $0.00073 | $0.01892 |
| Sonnet 5 | $0.00029 | $0.00757 |
| Haiku 4.5 | $0.00015 | $0.00378 |
Grade A, and why
powerbi-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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power BI / Fabric Assessment
Surveys a Power BI / Fabric tenant — what the signed-in user can access —
via the Fabric REST API and the Power BI REST API, authenticated through a
Microsoft first-party public client (device-code, no Entra app registration).
Emits a markdown readout + JSON inventory + a value/cost-ranked migration
shortlist the user can hand to a Sigma rep or directly to the
powerbi-to-sigma conversion skill.
This is the Power-BI sibling of tableau-assessment — same file layout, same
readout sections, same privacy discipline, same value/cost shortlist scoring —
adapted to Power BI's two-artifact world (semantic model + report).
READ-ONLY. Every call is a GET (plus one read-only Scanner-API
POST getInfoprobe with an empty body). The skill never writes to Power BI and never posts to Sigma. It does not edit anything outside its output directory.
Warehouse-agnostic. Power BI models source from many warehouses (Snowflake, BigQuery, Databricks, Redshift, Synapse, Postgres, …). The skill parses the warehouse host out of each model's M (Power Query) expression and reports it; the downstream
powerbi-to-sigmaconverter re-points Sigma at the same tables regardless of which warehouse it is. Worked examples here use Snowflake because that's where the dev fixtures live.
Privacy posture (READ FIRST, surface to the customer)
This skill reads report / model metadata, not warehouse data. What crosses Anthropic's API on its way through Claude:
| Crosses Anthropic API | Stays local |
|---|---|
| Aggregate counts (workspace / model / report counts) | Warehouse rows (never queried) |
| Model names, report names, workspace names | Power BI / Entra credentials |
| Full TMSL — DAX measure/calc-column expressions + RLS role definitions | Actual report cell values |
| PBIR — visual configuration / page structure | .pbix binary model blobs |
| Warehouse host names parsed from M | Warehouse credentials |
| Refresh job results |
What ships with it
29 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.
- fixtures/INSTANCE_GAPSCOUT.md 11 KB
- fixtures/sample-readout/complexity.json 2.5 KB
- fixtures/sample-readout/inventory.json 7.8 KB
- fixtures/sample-readout/migration-plan.json 3.0 KB
- fixtures/sample-readout/probe-admin-raw.json 57 B
- fixtures/sample-readout/README.md 1.7 KB
- fixtures/sample-readout/readout.md 7.3 KB
- fixtures/sample-readout/shortlist.json 1.6 KB
- PRIVACY.md 4.7 KB
- README.md 4.5 KB
- refs/environment.md 5.7 KB
- refs/fabric-fields.md 4.8 KB
- refs/output-shapes.md 5.5 KB
- refs/readout-template.md 6.8 KB
- refs/token-model.json 3.6 KB
- scripts/bootstrap.ps1 41 KB runs code
- scripts/bootstrap.sh 44 KB runs code
- scripts/build-shortlist.rb 4.2 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/fabric-inventory.py 24 KB runs code
- scripts/migration-plan.rb 5.9 KB runs code
- scripts/probe-admin.py 4.5 KB runs code
- scripts/probe-admin.rb 2.1 KB runs code
- scripts/render-readout-html.rb 50 KB runs code
- scripts/render-readout.rb 10 KB runs code
- scripts/requirements.txt 194 B
- scripts/score-complexity.rb 4.8 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 · 289 lines · 147 tokens per session scan A 9d4a922ba53e
powerbi-assessment is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed yesterday), licensed MIT. It adds 147 tokens to every session and 3,783 once invoked, about $0.0007 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…