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BD xunit-skill

Generates xUnit.net tests in C#. Covers Fact/Theory, constructor injection, IClassFixture, and FluentAssertions. Use when user mentions "xUnit", "[Fact]", "[Theory]", "Assert.Equal", "C# xUnit". Triggers on: "xUnit", "[Fact]", "[Theory]", "Assert.Equal C#", "xUnit.net".

LambdaTest/agent-skills Agent Skills author: LambdaTest 3 files body ≈ 801 tokens Open the sourcegithub.com↗ analyzed 33 h ago

Generates xUnit.net tests in C. Covers Fact/Theory, constructor injection, IClassFixture, and FluentAssertions. Use when user mentions "xUnit", "[Fact]"…

As a process D 44/100 · Unfinished process — weak spots: steps, result and completion, inputs and preconditions

GeneratorSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
97
Quality 40%
90
Run on models
none yet
Process rating
D
44/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token reference/playbook.md:237
      High-entropy token-like string (may be an id, hash or a credential)
      public async Task GetU…nds()
    • low Secrets in code secret-high-entropy-token reference/playbook.md:335
      High-entropy token-like string (may be an id, hash or a credential)
      public async Task Crea…201()
    • low Secrets in code secret-high-entropy-token reference/playbook.md:345
      High-entropy token-like string (may be an id, hash or a credential)
      public async Task Crea…400()

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "languages"

    Process rating: all ten parameters 44/100

    • 0Steps. Prose only: no discrete steps
    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 801 tokens
    • 100Running it twice. No mutating operations

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 270: enough signal without eating the budget
    • +4Structure: 11 headings
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 2)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.