惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Apple Machine Learning Research
Apple Machine Learning Research
博客园 - 三生石上(FineUI控件)
雷峰网
雷峰网
WordPress大学
WordPress大学
S
SegmentFault 最新的问题
博客园 - 叶小钗
The Cloudflare Blog
T
Tailwind CSS Blog
Hugging Face - Blog
Hugging Face - Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
月光博客
月光博客
小众软件
小众软件
罗磊的独立博客
酷 壳 – CoolShell
酷 壳 – CoolShell
大猫的无限游戏
大猫的无限游戏
阮一峰的网络日志
阮一峰的网络日志
V
V2EX
美团技术团队
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 聂微东
量子位
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
宝玉的分享
宝玉的分享

Show HN

Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code.
GitHub - Intuned/selector-forge: Browser extension to cre...
ahmadilaiwi · 2026-06-22 · via Show HN

Pick an element on any page, get back a reliable selector — generated and judged by AI, then re-verified against the live DOM before you ever see it.

Selector Forge is a standalone browser extension (Chrome & Firefox, MV3) that helps you build robust CSS or XPath selectors directly from the pages you're looking at. You point at what you want; the extension and Intuned's selector backend do the rest — proposing candidates, testing them against the real page, and discarding anything that doesn't resolve correctly.

It's useful for writing end-to-end tests, building scrapers, and automating any page where a brittle selector would cost you later.

Install

How it works

  1. Open any page and click the extension.
  2. Choose a selection mode and pick element(s) directly on the live page.
  3. The extension captures a compact snapshot of your picks (selected targets, DOM context, seed candidates) and sends it to the backend.
  4. The backend proposes and ranks candidate selectors; the extension tests every candidate against the live DOM and feeds the results back.
  5. This loop repeats until the backend settles on a winner.
  6. The popup shows only re-verified selectors, each with a copy button.

The browser is always the source of truth for what a selector actually matches. The AI proposes and ranks; it never gets the final word on correctness.

The trust boundary

  • The extension holds the selector-creation session state — the source of continuity for the loop.
  • The browser is the source of truth — re-verification is mandatory for every result.
  • The AI proposes and ranks selectors; it does not prove correctness.
  • For lists, verification checks the full intended set, so over-matching and under-matching selectors are rejected.

See ARCHITECTURE.md for the module map, the messaging layer, the background/content/popup contexts, and the auth + CLI seams.

Selection modes

Mode You do You get
Single Pick one element Verified selector candidates for that exact element — buttons, inputs, links, labels, one-off targets.
List Pick two examples from a repeating set A verified container selector for the full set, previewed before you save it.

Dev quickstart

Requires Node 18+ and Yarn.

yarn install         # also runs `wxt prepare`
yarn dev             # watch + load .output/chrome-mv3 in Chrome (unpacked)
yarn dev:firefox     # same for Firefox

After the first yarn dev, load the unpacked extension from .output/chrome-mv3 at chrome://extensions (enable Developer mode).

Commands

Command What it does
yarn dev / yarn dev:firefox Watch build, loadable as an unpacked extension
yarn compile tsc --noEmit typecheck
yarn test Vitest — unit + real-Chromium browser projects
yarn build / yarn build:firefox Production extension bundle
yarn build:e2e E2E variant with <all_urls> host permission — never ship this
yarn e2e build:e2e then Playwright against the packaged extension
yarn zip / yarn zip:firefox Store-ready zip
yarn icons Regenerate icon assets
yarn ladle Preview popup components in isolation at http://localhost:61010

Component previews (Ladle)

yarn ladle serves the popup's React components in isolation for design and review — no extension reload, no real backend. Stories live in stories/ (*.stories.tsx); Ladle config is in .ladle/. The popup expects WXT's injected browser global, so .ladle/wxt-globals.ts installs a no-op stub for it. yarn ladle:build produces a static bundle under dist/ladle.

Testing layers

  • Unit — fast Vitest tests (node/happy-dom) for selector logic, state transforms, storage, and deterministic fallbacks.
  • Browser — Vitest browser-mode tests that run selector generation against a real DOM and prove each candidate resolves to exactly the expected element set. This is the correctness oracle. Both layers run under yarn test.
  • E2E — Playwright against the packaged MV3 extension with a real page, pointer flow, popup, content script, and background worker. Run with yarn e2e.

Project layout

entrypoints/
  background.ts     background service worker — session state, agent loop, network I/O
  content.ts        content script — picker overlay, DOM access, selector testing
  popup/            React popup — mode controls, results, copy actions
lib/
  agent/            agent loop controller (backend turn-taking)
  content/          picker overlay, element registry, DOM inspection
  background/       handlers, context menu, session wiring, CLI bridge
  messaging/        typed, direction-partitioned runtime-message protocol
  state/            session state, history, schema, preferences
  auth/             auth client + token handling
  graphql/          workspace + usage queries
  config.ts         API base + runtime config
tests/              vitest (unit + browser)
e2e/                playwright against the built extension
ARCHITECTURE.md     module map, trust boundary, agent loop, seams

Built on WXT with React for the popup.

Roadmap

  • CLI control — drive the extension from the Intuned CLI: Intuned IDE support, local agents running end-to-end tests and automations, and exposure through MCP. (Foundational wiring — the tabs permission and CDP-driven session start — is already in place.)
  • Smart picker — a multiple mode that lets you select many elements in one flow and have the extension group them into single items and list-like sets, plus AI field detection that suggests useful fields, names, and selectors for a page automatically.
  • Drill-down modes — precision refinement after a pick: walk the XPath/DOM tree to the element you actually meant (child span → button → row → label → parent container), move a list selection to a parent or child level, and add required examples or exclude wrong ones.
  • Bring your own backend — today the extension talks to Intuned for authentication and selector generation. We plan to ship a small, self-hostable reference backend that drops into that seam and replaces Intuned entirely — including an open-source agent that generates and judges reliable selectors — so you can run the whole loop on your own infrastructure.

Further out: selector/automation history, export to Playwright or plain JavaScript, automatic pagination detection, and cross-iframe / shadow-DOM support.

Contributing

Issues and pull requests are welcome. Please run yarn compile and yarn test before opening a PR.

License

MIT © The Metrics Shop, Inc.