Meticulous Use Session Data

作者 alwaysmeticulousdeb5e45e6e56無授權條款10 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Download and use structured Meticulous session data (user flows + network mocks) for testing code changes locally. Use when you need to understand what user interactions and API calls a test covers, or when you want network mocks for writing tests.

AI 產生的概覽

下載 Meticulous 錄製的工作階段資料(使用者流程與網路模擬資料),供代理檢視並用於本機測試。

功能
引導代理執行 Meticulous CLI,找出涵蓋目前分支程式碼變更的已錄製工作階段,並將其資料以結構化目錄樹下載到 .meticulous/sessions/。說明輸出結構(清單、各工作階段摘要、使用者事件、網路請求、儲存狀態、URL 歷史、情境與 WebSocket 資料)以及如何瀏覽這些內容。也說明如何依工作階段 ID 直接下載特定工作階段,以及事後向 Meticulous 提交簡短回饋。
適用情境
當你需要了解某個已錄製測試涵蓋哪些使用者互動與 API 呼叫,或想用真實的請求/回應資料為測試撰寫網路模擬時使用。適合以已錄製的工作階段資料在本機驗證程式碼變更。
執行需求
需要 Meticulous CLI(可選用 Meticulous MCP 工具)以及對 Meticulous 服務的存取權;指令需在 git 儲存庫根目錄執行。此技能未附帶指令碼,僅為操作說明。

Use this workflow to get structured session data from Meticulous — the recorded user flows and network mocks that cover your code changes.

Before starting, run the meticulous-cli-update skill to ensure the Meticulous CLI and skills are up to date — unless it has already run earlier in this conversation, in which case skip it.

Step 1 — Find relevant sessions and download their data

Run the following command from the root of the git repository:

bash
meticulous local relevant-sessions --format=multi-file --minimum-times-to-cover-each-line=1

This will:

  1. Identify which recorded sessions exercise the code paths changed on your current branch.
  2. Download each session's data as a structured directory tree to .meticulous/sessions/.

Options:

OptionTypeDefaultDescription
--formatmulti-file—Set to multi-file to download each relevant session's data as a structured directory tree
--minimum-times-to-cover-each-linenumber—Select at least this many sessions to cover each edited line, choosing the most diverse subset when more candidates are available
--include-superfluous-sessionsbooleanfalseAlso include sessions that do test some changes but were superfluous given --minimum-times-to-cover-each-line
--outputDirstring.meticulous/sessionsOutput directory for multi-file format
--showMaybeRelevantbooleanfalseAlso show sessions that may be affected
--startingPointShastring—Only consider changes since this commit SHA

Step 2 — Understand the output structure

The downloaded data is organized as follows:

.meticulous/sessions/  manifest.json                       # List of all sessions with summary metadata  sessions/    <sanitized-session-id>/           # Special characters in session IDs are replaced for filesystem safety      summary.json                    # Session overview: URL, viewport, duration, event count      user-events.json                # Sequence of user interactions (clicks, typing, navigation)      network-requests/        summary.json                  # All network requests: method, URL, status (no bodies)        <order>.json                  # Individual request/response pairs (with bodies)      storage/        cookies.json                  # Initial cookie state        local-storage.json            # Initial localStorage state        session-storage.json          # Initial sessionStorage (if present)        indexed-db.json               # Initial IndexedDB (if present)      url-history.json                # Page navigation history with timestamps      context.json                    # Feature flags, user ID, custom context (if present)      websockets/                     # WebSocket data (if present)        summary.json                  # WebSocket connections overview        <connection-id>.json          # Events for each connection

Step 3 — Navigate the data

  1. Start with manifest.json to see all available sessions. Each entry includes the session ID, start URL, event count, duration, and network request count. Pick the session(s) relevant to your task.

  2. Read summary.json inside a session directory for a quick overview of that session — the starting URL, viewport size, total duration, and number of events.

  3. Read user-events.json to understand the user flow. Each event has:

    • type: the interaction type (e.g., click, input, scroll)
    • selector: the CSS selector of the target element
    • timestampMs: when the event occurred
    • coordinates: click position (if applicable)
  4. Browse network-requests/summary.json to see all API calls made during the session. Each entry shows the HTTP method, URL, status code, content type, and response time — without response bodies, so it's quick to scan.

  5. Read individual network-requests/<order>.json files for the full request/response data of specific API calls. Use these as mock data when writing tests. The order field in the summary corresponds to the filename.

  6. Check storage/ files if you need to understand the initial application state (cookies, localStorage, etc.).

Step 4 — Use the data for testing

Common use cases:

Understanding user flows

Read user-events.json to see the exact sequence of user interactions. This tells you what the user clicked, typed, and navigated, which helps you understand what your code change needs to support.

Creating network mocks

Use the network request files to create mock responses for your tests:

  1. Read network-requests/summary.json to find the relevant API endpoints.
  2. Read the individual network-requests/<order>.json files for the full request/response pairs.
  3. Use the response.content.text field as mock response data in your tests.

Verifying coverage

Cross-reference the user events and network requests with your code changes to verify that the session covers the code paths you've modified.

Alternative: Download specific sessions

If you already know which session IDs you need, you can download them directly:

bash
# CLImeticulous download session --sessionId=<id> --format=multi-file
# MCP (returns the same structured data inline instead of writing it to disk)get_session_data(sessionId="<id>")

The CLI writes to .meticulous/sessions/ by default; use --outputDir to change the output location.

Final step — Report feedback to Meticulous

Once you've finished using the session data, submit one brief feedback note to the Meticulous team: did the session data cover the flows you needed, and what information was missing or would have made the task easier?

bash
# CLImeticulous agent submit-feedback --message="<one or two sentences>" --outcome=<helped|neutral|hindered> --skill=meticulous-use-session-data
# MCPsubmit_feedback(message="<one or two sentences>", outcome="<helped|neutral|hindered>", skill="meticulous-use-session-data")

來源與署名

來源:alwaysmeticulous/skills位於skills/meticulous-use-session-data提交deb5e45

授權條款: 無授權條款

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