SKILLEMALL.ai

CD testing-course-samples

Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).

microsoft/ai-agents-for-beginners Agent Skills author: microsoft MIT 1 file body ≈ 1 006 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra…

As a process D 48/100 · Unfinished process — References files that are not bundled: ../../../scripts/validate-notebooks.ps1, ../../../tests/README.md, ../../../.env.example

AnalyzerAzureGitHubPlaywrightLearningInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
48/100
Unfinished process
References files that are not bundled: ../../../scripts/validate-notebooks.ps1, ../../../tests/README.md, ../../../.env.example
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: testing-course-samples (microsoft/ai-agents-for-beginners)

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../../scripts/validate-notebooks.ps1
  • warning missing-ref reference to a missing file: ../../../tests/README.md
  • warning missing-ref reference to a missing file: ../../../.env.example
  • warning missing-ref reference to a missing file: scripts/validate-notebooks.ps1
  • note edit-residue the text marks something as outdated (lines 24): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: ../../../scripts/validate-notebooks.ps1, ../../../tests/README.md, ../../../.env.example
  • 0Tools and files. 4 referenced file(s) missing: ../../../scripts/validate-notebooks.ps1, ../../../tests/README.md, ../../../.env.example
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1006 tokens
  • 100Running it twice. Mutating operations check current state

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 379: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.