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vercel-labs/derive-client

Reverse-engineer a website's internal API by recording browser traffic into a HAR file, then generate a standalone client or CLI that calls the endpoints directly, with no browser needed after the first recording. Use when asked to "derive a client", "build a CLI for <site>", "reverse engineer this site's API", "record network requests", "turn this site into an API", or when the same site will be automated repeatedly and direct HTTP calls would beat driving the browser every time.

Qu'est-ce que derive-client ?

derive-client is a Claude Code agent skill that reverse-engineer a website's internal API by recording browser traffic into a HAR file, then generate a standalone client or CLI that calls the endpoints directly, with no browser needed after the first recording. Use when asked to "derive a client", "build a CLI for <site>", "reverse engineer this site's API", "record network requests", "turn this site into an API", or when the same site will be automated repeatedly and direct HTTP calls would beat driving the browser every time.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/vercel-labs/agent-browser/tree/main/skill-data/derive-client

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Documentation

Derive an API client from a recorded session

Driving a browser is the right tool for the first visit and the wrong tool for the hundredth. This skill records a site's network traffic once while you use it, then turns the captured requests into a standalone client (script, CLI, or library) that talks to the site's internal API directly.

The recording alone contains everything needed: agent-browser embeds text response bodies (JSON/HTML/JS) in the HAR by default, so endpoint shapes can be studied offline after the browser is closed.

Workflow

1. Record     Start HAR capture, drive the flows you want in the client
2. Identify   Find the real API endpoints among the noise
3. Extract    Pull request shapes, response schemas, and auth material
4. Generate   Write the client, one function per flow
5. Verify     Call every endpoint for real before declaring done

1. Record

agent-browser network har start          # embeds text response bodies by default
# ... drive the site: search, open a detail page, paginate, etc. ...
agent-browser network har stop /tmp/site.har
  • Exercise every flow the client should support, and run each one at least twice with different inputs (two search terms, two detail pages). Diffing the recorded URLs reveals which parts are parameters.
  • If the site needs login, log in before starting the HAR so credentials don't land in the recording unnecessarily. The session cookies are exported separately in step 3.
  • --content all embeds binary bodies too (base64); --content none disables embedding. Per-body cap is 2 MB.

While the session is still open, agent-browser network requests and network request <id> give the same data interactively — but only the HAR survives navigation and browser close, so prefer it for anything multi-page.

2. Identify endpoints

Query the HAR with jq:

# All JSON API calls: method, URL, status
jq -r '.log.entries[]
  | select(.response.content.mimeType | test("json"))
  | "\(.request.method) \(.response.status) \(.request.url)"' /tmp/site.har

Ignore analytics and infrastructure noise: telemetry endpoints (/collect, /track, /beacon, /log), third-party domains (google-analytics, segment, sentry, datadog, intercom, hotjar), and static assets. The real API is usually first-party, JSON, and correlates with the actions you performed.

3. Extract shapes and auth

# Full detail for one endpoint: request headers, POST body, response body
jq '.log.entries[] | select(.request.url | test("api/search"))
  | {request: {method: .request.method, headers: .request.headers,
     postData: .request.postData.text},
     response: .response.content.text}' /tmp/site.har
  • Response schema: read .response.content.text — this is the real payload, use it to derive types.
  • Auth: compare request headers across endpoints. Look for authorization, cookie, x-csrf-token, x-api-key, and site-specific x-* headers. Replay only the ones that matter — test by omission in step 5.
  • Cookies: export the live session with agent-browser cookies get --json > cookies.json for the client to load at runtime. Never hardcode cookie values into generated source.

4. Generate the client

  • One function per recorded flow (search(query), getItem(id)), typed from the observed response bodies.
  • Auth material (cookies, bearer tokens) loads from a file or environment variable, with a clear error telling the user to re-run the browser login when it expires.
  • Reproduce the headers the API actually requires — some sites 403 without a matching user-agent, referer, or x-requested-with.
  • Keep pagination, sort, and filter parameters that appeared in the recorded query strings as function options.

5. Verify

Call every generated function against the live API and compare the response shape with the recording. Common failures:

SymptomCauseFix
401/403Expired or missing sessionRe-login via agent-browser, re-export cookies
403/419 on writesCSRF token is per-session or per-formFetch the token endpoint first, or keep that flow browser-driven
Works then breaksSigned/expiring request paramsFall back to the browser for that step; derive the rest
Different shape than HARA/B tests or geo-dependent responsesRe-record and treat the union as optional fields

Caveats

  • Internal APIs are unversioned and change without notice — keep the HAR so the client can be re-derived.
  • Respect the site's terms of service and rate limits; add delays for bulk fetching.
  • HAR files contain live session credentials (cookies, tokens, POST bodies). Treat them like secrets: keep them out of version control and delete them when done.

Individual skills in this repo

This repo contains 8 individual skills — each has its own dedicated page.

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

vercel-labs/agentcore

Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.

vercel-labs/dogfood

Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.

vercel-labs/electron

Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include "automate Slack app", "control VS Code", "interact with Discord app", "test this Electron app", "connect to desktop app", or any task requiring automation of a native Electron application.

vercel-labs/protected-vercel-deployments

Access and test Vercel deployments protected by Vercel Authentication, SSO, or Deployment Protection with agent-browser. Use when a preview or production URL redirects to a Vercel login page, returns a protection 401 or 403, or needs short-lived Trusted Sources OIDC authentication instead of a static bypass secret or public exception.

vercel-labs/slack

Interact with Slack workspaces using browser automation. Use when the user needs to check unread channels, navigate Slack, send messages, extract data, find information, search conversations, or automate any Slack task. Triggers include "check my Slack", "what channels have unreads", "send a message to", "search Slack for", "extract from Slack", "find who said", or any task requiring programmatic Slack interaction.

vercel-labs/vercel-sandbox

Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include "Vercel Sandbox browser", "microVM Chrome", "agent-browser in sandbox", "browser automation on Vercel", or any task requiring Chrome in a Vercel Sandbox.

vercel-labs/webmcp-gen

Build and validate experimental WebMCP tools for an existing web page. Use when an agent needs to expose a site's real workflows as page tools, create webmcp.init.js, define deterministic checks, or compare WebMCP with accessibility-tree automation.

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