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.
git clone --depth 1 https://github.com/twells89/sigma-migration-skillsnpx agentmods add skills/twells89/sigma-migration-skills/tableau-vds-to-cdwWrote 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/tableau-vds-to-cdw)<a href="https://agentmods.dev/skills/twells89/sigma-migration-skills/tableau-vds-to-cdw"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/tableau-vds-to-cdw/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/tableau-vds-to-cdw"><img src="https://agentmods.dev/badge/skills/twells89/sigma-migration-skills/tableau-vds-to-cdw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 15 findings, up to high
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 →
- high Supply Chain · line 91 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 101 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 114 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 118 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 138 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Privilege Escalation · line 487 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 91 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 114 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 118 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 138 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 Rogue Agent · line 168 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Data Exfiltration · line 311 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 330 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 610 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 628 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 | $0.00090 | $0.09647 |
| Opus 5 | $0.00045 | $0.04824 |
| Sonnet 5 | $0.00018 | $0.01929 |
| Haiku 4.5 | $0.00009 | $0.00965 |
Grade A, and why
tableau-vds-to-cdw scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
AUTH=$(curl -s -X POST "https://{server}/api/3.21/auth/signin" \ How it starts
The opening of the file, as written. The whole thing — 852 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tableau VDS → Cloud Data Warehouse (CDW)
Extract data from a published Tableau datasource via the VizQL Data Service (VDS) API and land it in a cloud data warehouse so Sigma can build on it. The Tableau/VDS extraction half is warehouse-agnostic — only the landing step changes per target.
Supported targets:
| Target | Landing mechanism | Section |
|---|---|---|
| Snowflake | Stored procedure + External Access Integration, scheduled with a Task | Part A |
| Databricks | Notebook on serverless compute + secret scope, scheduled with a Workflow | Part B |
| BigQuery | Not built yet — the extraction half ports directly; landing = a Cloud Function / scheduled query. File an issue if needed. | — |
Both Snowflake and Databricks paths are validated end-to-end with parity verified in Sigma against the landed table (Superstore: 10,192 rows, exact on Technology/Office Supplies, expected null-key row-level drift on the total — see Column types).
When this skill applies (and when it doesn't) — shared
VDS only works against published Tableau datasources. If the workbook you care about uses an embedded extract (the common case for Tableau community samples and one-off "extract from CSV, dashboard on top" workbooks), VDS will not see it.
mcp__tableau__list-datasourcesandsearch-contentwithcontentTypes=["datasource"]only return published datasources — if the source you want isn't there, it's embedded.To VDS an embedded extract, the workbook owner must first publish the datasource separately in Tableau Cloud (right-click datasource → Publish Data Source). That's a one-time UI step per datasource. After publishing, the datasource shows up via the MCP and VDS can read it.
Always check this before running the skill — surface the gap to the user rather than burning turns on a query that can't succeed.
How it works
Tableau Published Datasource
│
│ POST /api/v1/vizql-data-service/query-datasource
│ (auth via PAT + x-tableau-auth header)
▼
Server-side compute in the warehouse
(Snowflake stored proc | Databricks notebook)
- signs in to Tableau REST API
- calls VDS query endpoint
- creates/replaces target table
- loads rows
│
▼
Warehouse table ──▶ Sigma Workbook
What ships with it
3 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.
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 · 852 lines · 90 tokens per session scan A 6053b3d5ecab
tableau-vds-to-cdw is a skill published in the GitHub repository twells89/sigma-migration-skills (16 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 9,647 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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