CtrlK
BlogDocsLog inGet started
Tessl Logo

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).

77

Quality

98%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

96%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A focused, executable testing runbook with concrete commands, a clear validated workflow, and clean sectioning. Its only soft spot is progressive disclosure: the detail is inline rather than split across reference files, though that is reasonable for a self-contained runbook.

DimensionReasoningScore

Conciseness

Lean runbook with no concept-explanation padding (no 'what is a notebook' prose); prerequisites, the runner, result interpretation, and the extra-resources table are all actionable content where every token earns its place.

5 / 5

Actionability

Copy-paste-ready, fully executable guidance throughout: `pwsh scripts/validate-notebooks.ps1` with -Filter/-Timeout/-List/-Python variants, `az login`, `az cognitiveservices account deployment list`, `az cognitiveservices usage list`, and enumerated .env keys cover the common cases.

5 / 5

Workflow Clarity

Clear sequence (Prerequisites → Run → Interpret → Report) with explicit validation checkpoints: exit code equals failure count, PASS/FAIL matrix, log_*.txt tracebacks, automatic retry with backoff, and a regression-vs-environment-gap disambiguation step for this batch operation.

5 / 5

Progressive Disclosure

Well-organized into clearly signaled sections with one-level-deep markdown-linked references (validate-notebooks.ps1, tests/README.md, .env.example), but most detail lives inline in SKILL.md rather than being split into separate reference files, which is the 4-vs-5 boundary; this is appropriate for a runbook of this size.

4 / 5

Total

19

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A highly specific, complete, and distinctive description that names concrete actions and trigger phrases while explicitly scoping its boundaries. No vague fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'validate, test, smoke-test, or run the course's notebook and code samples', 'environment setup (.env, az login, packages)', the validate-notebooks.ps1 runner, 'interpreting PASS/FAIL results', and per-lesson extra resources — giving comprehensive, not vague, coverage.

5 / 5

Completeness

Explicitly answers both 'what' (validates samples, covers setup, the runner, interpreting results, extra-resource lessons) and 'when' ('Use when asked to validate, test, smoke-test, or run...') with concrete trigger phrases, matching the 5 anchor.

5 / 5

Trigger Term Quality

Natural user-facing verbs ('validate, test, smoke-test, or run') plus concrete nouns ('notebook and code samples', 'live Microsoft Foundry / Azure OpenAI configuration', 'PASS/FAIL results') cover the synonyms a user would actually say; not merely 4 because the main natural phrasings are all present.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (live Foundry/Azure OpenAI course-sample validation) with distinct triggers and explicit disambiguation from the AI Smoke Test GitHub Action, so conflict risk is minimal.

5 / 5

Total

20

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 suspicious

Warning

referenced_paths_exist

Referenced path issues: 5 missing

Warning

Total

14

/

16

Passed

Repository
microsoft/ai-agents-for-beginners
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.