tmdl-linter-false-positives

tmdl-linter-false-positives is a skill for Claude Code, Codex from fabioc-aloha/Alex_Skill_Mall. It costs 31 tokens per session (490 once invoked), scanned A, original, MIT.

A reference for recognizing valid TMDL, the text format used to describe Power BI tabular models, when VS Code reports incorrect errors.

In plain words
What is it for?
Use it to check reported errors, verify model definitions in Power BI Desktop or Tabular Editor, and suppress known false warnings.
Why use it?
It helps developers distinguish a real model syntax problem from a limitation in the editor's linter.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to check reported errors, verify model definitions in Power BI Desktop or Tabular Editor, and suppress known false warnings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fabioc-aloha/alex_skill_mall/tmdl-linter-false-positives
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 fabioc-aloha/Alex_Skill_Mall --skill tmdl-linter-false-positives
Clone the repo
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mall

Made for: Claude Code, Codex.

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 tmdl-linter-false-positives

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/tmdl-linter-false-positives"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/tmdl-linter-false-positives.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 490 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 $0.00031 $0.00490
Opus 5 $0.00015 $0.00245
Sonnet 5 $0.00006 $0.00098
Haiku 4.5 $0.00003 $0.00049

Measured 9d ago against content hash f9f9abc6837e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tmdl-linter-false-positives 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 9d 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.

plugins/data-analytics/tmdl-linter-false-positives/skills/tmdl-linter-false-positives/SKILL.md · 85 lines

What it actually says

TMDL Linter False Positives

The Problem

VS Code's TMDL (Tabular Model Definition Language) linter reports valid syntax as errors:

measure 'Total Sales' = SUM('Sales'[Amount])
    description = "Sum of all sales amounts"  // Linter: "Invalid property 'description'"

The description property IS valid — this is a linter limitation.

The Solution

Ignore these specific false positives:

Known False Positives

Property Context Actual Status
description On measures ✅ Valid
description On columns ✅ Valid
formatString Some contexts ✅ Valid
displayFolder On measures ✅ Valid

Verification

Test in Power BI Desktop or Tabular Editor:

  1. Apply the TMDL
  2. If it loads without error, the syntax is correct
  3. The VS Code linter is wrong, not your code

Workaround Options

Option 1: Ignore the Squiggles

The TMDL will work — the linter is just incomplete.

Option 2: Suppress in Settings

// .vscode/settings.json
{
  "tmdl.validate": false
}

Option 3: Use Tabular Editor

Tabular Editor's TMDL support is more complete.

When Linter IS Correct

Error Likely Real
Syntax errors (missing =, unmatched quotes) Yes
Unknown table/column references Yes
DAX function errors Yes
Property on wrong object type Maybe

Verification

# Deploy to test
# If no error in Power BI/SSAS, linter was wrong

When to Apply

  • TMDL development in VS Code
  • Any unexpected linter error on common properties
  • When syntax looks correct but shows errors

Tags

data tmdl power-bi linting false-positive

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. 9d ago First seen · 85 lines · 31 tokens per session scan A f9f9abc6837e

Subscribe to this mod's changes

tmdl-linter-false-positives is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 490 once invoked, about $0.0002 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 2026-09-03.

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