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CD testing-course-samples

जेव्हा Microsoft Foundry / Azure OpenAI च्या लाईव्ह कॉन्फिगरेशन विरुद्ध कोर्सचा नोटबुक आणि कोड नमुने व्हॅलिडेट, टेस्ट, स्मोक-टेस्ट, किंवा चालवायचे असे विचारले जाते तेव्हा वापरा. यात वातावरण सेटअप (.env, az login, पॅकेजेस), स्क्रिप्ट्स/validate-notebooks.ps1 रन्नर, PASS/FAIL निकालांचे अर्थ लावणे, आणि कोणत्या धड्यांना अतिरिक्त संसाधने (Azure AI Search, GitHub MCP, Foundry Local, Playwright) आवश्यक आहेत याचा समावेश आहे.

The skillemall take

A skill for validating Microsoft course materials against live Azure OpenAI configurations. Promises to run notebooks, check code samples, validate environment setup, interpret PASS/FAIL results, and flag which modules need extra resources (Azure AI Search, GitHub MCP, Playwright). On review: one file, zero scripts. Broken references and missing files detected. Content quality scores 60/100, process score 38. No critical findings, but incomplete state is evident. Never ran on sandbox. Useful for Microsoft Foundry workflows when you need to verify examples before classroom use. The file condition demands caution.

Install if you're prepared for manual fixes. Too early for production validation.

microsoft/ai-agents-for-beginners Agent Skills author: microsoft 1 file body ≈ 1 169 tokens Open the sourcegithub.com↗ analyzed 2 d ago

जेव्हा Microsoft Foundry / Azure OpenAI च्या लाईव्ह कॉन्फिगरेशन विरुद्ध कोर्सचा नोटबुक आणि कोड नमुने व्हॅलिडेट, टेस्ट, स्मोक-टेस्ट, किंवा चालवायचे असे विचारले…

As a process D 38/100 · Unfinished process — References files that are not bundled: ../../../../../scripts/validate-notebooks.ps1, ../../../tests/README.md, ../../../../../.env.example

AnalyzerAzureGitHubPlaywrightSoftware developmentInfrastructureAI and agentstype 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
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
D
38/100
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
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • 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

Process rating: all ten parameters 38/100

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
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1169 tokens

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 420: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.