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.

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

# Or analyze a specific session by ID (searched in both harness locations)
.\Analyze-Session.ps1 -SessionId "<session-id>" -OutputFile session-report.md

# Or analyze a transcript file directly (format sniffed from content)
.\Analyze-Session.ps1 -EventsFile <path-to-transcript.jsonl> -OutputFile session-report.md

# Force a specific format if auto-detection picks the wrong harness
.\Analyze-Session.ps1 -Format ClaudeCode -OutputFile session-report.md

# Skip subagent transcripts (Claude Code only) for a parent-only view
.\Analyze-Session.ps1 -SkipSubagents -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 success/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 run or the BuildAndRun.ps1 script?
   • Are there features that could be added to lower the number of turns required to complete a task?

What the Report Covers

Section	Details
Overview	Harness, session ID, model, duration, turns, tokens (incl. cache tokens for Claude Code)
Prompt	The original user request
Turn Breakdown	Turns and tokens by category (building, coding, exploring, subagent dispatch, etc.)
Skills	Which were invoked and when, including from inside subagent transcripts
Subagents	(Claude Code only) Per-agent breakdown of dispatched subagents and their work
Build Analysis	Build attempts, failures, errors, whether BuildAndRun.ps1 was used
Stuck Patterns	Build loops, repeated file reads, obj/ clean cycles
Tooling Issues	Auto-detected improvement opportunities
Turn Detail	Every turn with tools used and errors flagged, parent and subagent transcripts shown separately

When to Use

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