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eval-result-interpreter Skill

AI Agent SkillHTMLOpen source

Analyzes Copilot Studio evaluation results using Practical Guidance on Agent Evaluation's 10-step playbook (Steps 6, 7, and 9) plus Microsoft's triage diagnostics. Returns a gate-based SHIP / ITERATE / BLOCK verdict with root cause classification, remediation, and pattern analysis. Published by microsoft in eval-guide.

What is eval-result-interpreter Skill?

Analyzes Copilot Studio evaluation results using Practical Guidance on Agent Evaluation's 10-step playbook (Steps 6, 7, and 9) plus Microsoft's triage diagnostics. Returns a gate-based SHIP / ITERATE / BLOCK verdict with root cause classification, remediation, and pattern analysis. Published by microsoft in eval-guide. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
45/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use eval-result-interpreter Skill

  • Use it for data analysis.

Built with

HTMLCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/eval-guide
  • Skill file: skills/eval-result-interpreter/SKILL.md

What it does

Analyzes Copilot Studio evaluation results using Practical Guidance on Agent Evaluation's 10-step playbook (Steps 6, 7, and 9) plus Microsoft's triage diagnostics. Returns a gate-based SHIP / ITERATE / BLOCK verdict with root cause classification, remediation, and pattern analysis.

Skill instructions

Purpose This skill takes eval results — a Copilot Studio evaluation CSV file, a pasted summary, or plain-English description of results — and produces a structured triage report. It is the standalone Interpret skill in the operational workflow: plan → generate → run → interpret. In the 10-step playbook, it reads the baseline (Step 6), drives diagnosis (Step 7), and designs the Step 9 optimization loop. The output tells you whether to ship, what broke, why it broke, and what to fix first. This skill is grounded in Practical Guidance on Agent Evaluation: a 10-step playbook. It uses Step 6 to read baseline results with agent version and timestamp, Step 7 to classify failures into eval-setup vs agent-quality problems, and Step 9 to define the production feedback loop. MS Learn evaluation resources remain useful supporting references, but the 10-step playbook is the canonical methodology. Knowledge source: This skill's analysis framework is grounded in the 10-step playbook plus Microsoft's

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Frequently asked questions

What is eval-result-interpreter?

eval-result-interpreter is a open-source AI agent skill with Copy skill directory. Analyzes Copilot Studio evaluation results using Practical Guidance on Agent Evaluation's 10-step playbook (Steps 6, 7, and 9) plus Microsoft's triage diagnostics.

Who is eval-result-interpreter best for?

eval-result-interpreter is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install eval-result-interpreter?

Install or run eval-result-interpreter using Copy skill directory. Check eval-result-interpreter for the latest setup command.

Is eval-result-interpreter actively maintained?

eval-result-interpreter may need a closer maintenance check before production use.

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Stars
63
Forks
12
Last commit
28 days ago
Repository age
4 months
License
MIT

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