dotnet-tunit

A workflow for writing, running, or fixing .NET tests built with TUnit. TUnit is a .NET testing framework, and Microsoft.Testing.Platform is the system used to run some .NET test projects.

In plain words
What is it for?
It helps inspect TUnit projects, add or repair tests, run them with the project’s real command, handle TUnit-specific features, and verify the resulting code, configuration, or documentation.
Why use it?
Test commands and features differ between frameworks. This workflow helps avoid applying xUnit or MSTest instructions to a TUnit project.

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/managedcode/prompterone/dotnet-tunit
Any agent
npx skills add managedcode/PrompterOne --skill dotnet-tunit
Clone the repo
git clone --depth 1 https://github.com/managedcode/PrompterOne

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,768 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00062 $0.01768
Opus 5 $0.00031 $0.00884
Sonnet 5 $0.00012 $0.00354
Haiku 4.5 $0.00006 $0.00177

Measured 2d ago against content hash a250af944ffd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dotnet-tunit 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 2d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.codex/skills/dotnet-tunit/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TUnit

Trigger On

  • the repo uses TUnit
  • you need to add, run, debug, or repair TUnit tests
  • the repo uses Microsoft.Testing.Platform-based test execution
  • the repo uses ClassDataSource<...>(Shared = SharedType.PerTestSession), ParallelLimiter, TUnit.Playwright, or --treenode-filter

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • xUnit projects
  • MSTest projects
  • generic test strategy with no TUnit-specific mechanics

Inputs

  • the nearest AGENTS.md
  • the test project file and package references
  • the repo's current TUnit execution command

Quick Start

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

Workflow

  1. Confirm the project really uses TUnit and not a different MTP-based framework.
  2. Read the repo's real test command from AGENTS.md. If the repo has no explicit command yet, start with dotnet test PROJECT_OR_SOLUTION.
  3. Keep the TUnit execution model intact:
    • tests are source-generated at build time
    • tests run in parallel by default
    • built-in analyzers should remain enabled
  4. Choose the fixture level deliberately:
    • plain TUnit tests for isolated logic
    • shared AppHost/Aspire fixtures for HTTP, SignalR, SSE, or UI flows
    • WebApplicationFactory layered over shared Aspire infra when tests need Host DI services, IGrainFactory, or other runtime internals
  5. Reuse expensive fixtures with ClassDataSource<Fixture>(Shared = SharedType.PerTestSession) instead of booting distributed infrastructure per test.
  6. Fix isolation bugs instead of globally serializing the suite unless the repo already documented a justified exception.
  7. Run the narrowest useful scope first with dotnet test ... -- --treenode-filter "...". Keep TUnit arguments after --.
  8. Capture useful failure evidence: host log dumps, focused console output, coverage files, and Playwright screenshots/HTML for UI tests.
  9. Use [Test], [Arguments], hooks, and dependencies only when they make the scenario clearer, not because the framework allows it.

Read the full file on GitHub · 169 lines

Files

What ships with it

5 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.

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. 2d ago First seen · 169 lines · 62 tokens per session scan A a250af944ffd

Subscribe to this mod's changes

dotnet-tunit is a skill published in the GitHub repository managedcode/PrompterOne (42 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,768 once invoked, about $0.0003 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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