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CD testing-course-samples

ប្រើនៅពេលត្រូវបានស្នើឱ្យផ្ទៀងផ្ទាត់ ពិសោធន៍ ពិសោធន៍ស្ពឹក ឬរត់សៀវភៅកំណត់ត្រានិងគំរូកូដនៃវគ្គសិក្សាពីលើការកំណត់ Microsoft Foundry / Azure OpenAI ដែលកំពុងដំណើរការ។ គ្របដណ្ដប់ការតំឡើងបរិយាកាស (.env, az login, packages), កម្មវិធីរត់ scripts/validate-notebooks.ps1, ការបកស្រាយលទ្ធផល PASS/FAIL, និងមេរៀនណាដែលត្រូវការធនធានបន្ថែម (Azure AI Search, GitHub MCP, Foundry Local, Playwright)।

The skillemall take

Promises help validating notebooks and code examples from Microsoft's Azure OpenAI course—environment setup, script execution, PASS/FAIL parsing. One file in the folder, no scripts. Description in Khmer makes actual functionality unclear. Checks show: safety passes, quality at 60%, process at 38%. Broken references flag missing files or links. No model runs recorded.

Whether this works in practice is a guess. Structure incomplete, documentation unreadable, key components missing. Install only if you're prepared to restore files yourself and reverse-engineer the source without proper docs.

microsoft/ai-agents-for-beginners Agent Skills author: microsoft 1 file body ≈ 1 181 tokens Open the sourcegithub.com↗ analyzed 2 d ago

ប្រើនៅពេលត្រូវបានស្នើឱ្យផ្ទៀងផ្ទាត់ ពិសោធន៍ ពិសោធន៍ស្ពឹក ឬរត់សៀវភៅកំណត់ត្រានិងគំរូកូដនៃវគ្គសិក្សាពីលើការកំណត់ Microsoft Foundry / Azure OpenAI…

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 1181 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 378: 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.