winui-session-report

Session Analysis Report

Generate a diagnostic report for an agent session by running the Analyze-Session.ps1 script included with this skill. The script auto-detects whether the current session was produced by GitHub Copilot CLI or Claude Code from environment variables and on-disk file format, and dispatches to the appropriate parser. If neither harness can be detected, the script exits with a clear error.

[!IMPORTANT] Run this skill only when the user explicitly asks for session analysis or a report. If it is loaded without an explicit request, do not inspect session data; explain what the report contains and wait for confirmation.

Privacy and sensitivity — surface this guidance to the user

Analyze-Session.ps1 always:

1. Embeds a "Privacy and sensitivity" section at the top of the generated session-report.md (right above the Overview table), and
2. Prints a yellow PRIVACY NOTICE banner to the console when it finishes writing the file.

You (the agent) must surface this guidance to the user in your response — do not let it stay buried in script output the user might not have read. When you finish running the script and reporting the findings, include a short privacy reminder in your reply to the user, in plain second-person language. Use this template, adapting wording as needed:

⚠️ Heads-up before you share session-report.md — this file contains your unredacted session transcript: file contents and paths the agent read or edited, your prompts verbatim (including any secrets you may have pasted), tool output, environment values, and local paths under C:\Users\<you>\…. You're responsible for what you share — please open the file in your editor and read it end-to-end before attaching it to a public issue, posting it in chat, or sending it outside your organization. Redact anything sensitive. If you only need to share the high-level metrics, ask me to summarize the file instead of attaching it.

If the user only wants the high-level metrics (turn counts, skill usage, build success rate) without the per-turn detail, summarize the report and share the summary instead of the file — and tell the user that's what you're doing so they don't have to read it themselves to confirm.

Steps

1. Run the analysis script to generate the report:

# Analyze the most recent session (auto-detects harness) and save report
.\Analyze-Session.ps1 -OutputFile session-report.md
 

Detection rules:

• The current session is preferred when an explicit ID is available: COPILOT_AGENT_SESSION_ID (Copilot CLI) or CLAUDE_SESSION_ID (Claude Code) take priority over "most recently modified" so a parallel session in another terminal can't shadow the one the skill was invoked from.
• Environment first: CLAUDECODE=1 or CLAUDE_CODE_ENTRYPOINT -> Claude Code; COPILOT_* env vars -> Copilot.
• For Claude Code, the most-recent JSONL whose cwd matches the current working directory is preferred.
• For an explicit -EventsFile, the format is sniffed from the first events.
• If neither harness is detected, the script exits with a non-zero status and a message naming both supported locations.

2. Review the generated report — read session-report.md and summarize key findings for the user:

   • How many turns, how long, token usage
   • What skills were loaded and when
   • Build/run workflow and command-failure pattern
   • Any stuck patterns or tooling issues detected

3. Add your own observations — append a section to the report with any additional context:

   • Was the final app working? What's missing?
   • Quality assessment of the generated code
   • Suggestions specific to what went wrong

4. Include any tooling improvements or recommendations based on the analysis.

   • Are there rules that need to be added to the Roslyn analyzer to prevent common mistakes detected during the session?
   • Were there bugs or issues with winapp new, project-mode winapp run, winapp find-ui, or the BuildAndRun.ps1 wrapper?
   • Are there features that could be added to lower the number of turns required to complete a task?

What the Report Covers

When to Use

• When the user asks for a session report to understand what happened during an agent session.