meticulous-use-session-data
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.
Works with
---
name: meticulous-use-session-data
description: 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.
license: ISC
---
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:**
| Option | Type | Default | Description |
| ------------------------------------ | ------------ | ---------------------- | --------------------------------------------------------------------------------------------------------------------------------- |
| `--format` | `multi-file` | — | Set to `multi-file` to download each relevant session's data as a structured directory tree |
| `--minimum-times-to-cover-each-line` | number | — | Select at least this many sessions to cover each edited line, choosing the most diverse subset when more candidates are available |
| `--include-superfluous-sessions` | boolean | `false` | Also include sessions that do test some changes but were superfluous given `--minimum-times-to-cover-each-line` |
| `--outputDir` | string | `.meticulous/sessions` | Output directory for multi-file format |
| `--showMaybeRelevant` | boolean | `false` | Also show sessions that may be affected |
| `--startingPointSha` | string | — | 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
# CLI
meticulous 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
# CLI
meticulous agent submit-feedback --message="<one or two sentences>" --outcome=<helped|neutral|hindered> --skill=meticulous-use-session-data
# MCP
submit_feedback(message="<one or two sentences>", outcome="<helped|neutral|hindered>", skill="meticulous-use-session-data")
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