testing-standards

testing-standards is a skill for Claude Code, Codex from edudutra/mcp-tableau. It costs 47 tokens per session (1,752 once invoked), scanned A, original, no licence file.

A testing guide for an MCP Tableau project, covering how to organise pytest tests, simulated Tableau clients, reusable test setups, tool checks, coverage, and naming rules.

In plain words
What is it for?
Use it when creating, organising, or reviewing tests for this MCP Tableau project.
Why use it?
It gives the project a shared way to write and review tests, so important MCP tools and Tableau interactions are checked consistently.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/edudutra/mcp-tableau/testing-standards
Any agent
npx skills add edudutra/mcp-tableau --skill testing-standards
Clone the repo
git clone --depth 1 https://github.com/edudutra/mcp-tableau

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 testing-standards

README.md
[![agentmods](https://agentmods.dev/badge/skills/edudutra/mcp-tableau/testing-standards.svg)](https://agentmods.dev/skills/edudutra/mcp-tableau/testing-standards)
Your own site
<a href="https://agentmods.dev/skills/edudutra/mcp-tableau/testing-standards"><img src="https://agentmods.dev/badge/skills/edudutra/mcp-tableau/testing-standards.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,752 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00047 $0.01752
Opus 5 $0.00023 $0.00876
Sonnet 5 $0.00009 $0.00350
Haiku 4.5 $0.00005 $0.00175

Measured 3d ago against content hash 1f3b3db697cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

testing-standards 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 3d 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.

.claude/skills/testing-standards/SKILL.md · 123 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 123 lines · 47 tokens per session scan A 1f3b3db697cd

Subscribe to this mod's changes

testing-standards is a skill published in the GitHub repository edudutra/mcp-tableau (0 stars, last pushed 1mo ago), with no licence file. It adds 47 tokens to every session and 1,752 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 2026-08-31.

Related

Other skills, from other repositories

run-helix-tests

Submit and monitor .NET MAUI unit tests on Helix infrastructure. Supports running XAML, Resizetizer, Core, Essentials, and other unit test projects on distributed Helix queues.

dotnet/maui · 45 tokens

nunit-testing

Use when writing or modifying tests in NUnit's own test projects, or when making a behavioral change to production code that needs test coverage. Covers test structure, attribute choice, helper visibility, platform guards, and which test projects are real.

nunit/nunit · 51 tokens

dart-test

DART Test: unit tests, integration tests, CI validation, and debugging.

dartsim/dart · 18 tokens

browserless-test

Creates Vaadin Browserless server-side unit tests for Vaadin views covering navigation, component interactions, form validation, grid operations, and notifications. Use when the user asks to "write Browserless tests", "write Vaadin UI unit tests", "unit test a Vaadin view without a browser", "create view tests with…

AI-Unified-Process/marketplace · 104 tokens

junit-5-skill

Generates production-grade JUnit 5 unit and integration tests in Java. Covers assertions, parameterized tests, lifecycle hooks, mocking with Mockito, and nested tests. Use when user mentions "JUnit", "JUnit 5", "@Test", "assertEquals", "Assertions", "Java unit test". Triggers on: "JUnit", "@Test", "assertEquals"…

LambdaTest/agent-skills · 90 tokens

smoke-test-ml-pipeline

Owns the smoke test contract for an ML experiment: a small, diagnostic-by-construction pytest that fits the experiment's learner on a portion of the real data/ source and predicts on a disjoint portion that deliberately carries no pre-history buffer. The assertion is structural — the number of predictions must equal…

probabl-ai/skills · 486 tokens