Merge pull request #283 from TIGER-AI-Lab/docs/readme-slim

docs: slim the README, fix broken links and corpus counts

Author: Perry2004

AGENTS.md

@@ -4,7 +4,7 @@ This file is for coding agents (Claude Code, Cursor, Copilot, etc.) to understan
 
 ## What This Is
 
-ClawBench is a benchmarking framework for evaluating AI web agents on real-world online tasks. V1 lives in `test-cases/v1/` with 153 tasks spanning 144 live websites and 15 life categories; V2 lives in `test-cases/v2/` with 130 tasks; Lite lives in `test-cases/v1-lite/` with 20 link-backed V1 tasks. Each task runs in an isolated Docker container with  a browser, a recording Chrome extension, and an AI agent harness (`openclaw`, `opencode`, `claude-code`, `claude-code-chrome-extension`, `codex`, `browser-use`, `claw-code`, `hermes`, `pi`, or `webbrain`, selectable via `--harness`). The framework captures five layers of data: session replay (MP4), action screenshots, HTTP traffic, browser actions, and agent messages.
+ClawBench is a benchmarking framework for evaluating AI web agents on real-world online tasks. V1 lives in `test-cases/v1/` with 152 tasks spanning 143 live websites and 15 life categories; V2 lives in `test-cases/v2/` with 129 tasks; Lite lives in `test-cases/v1-lite/` with 20 link-backed V1 tasks. Each task runs in an isolated Docker container with  a browser, a recording Chrome extension, and an AI agent harness (`openclaw`, `opencode`, `claude-code`, `claude-code-chrome-extension`, `codex`, `browser-use`, `claw-code`, `hermes`, or `pi`, or `webbrain`, selectable via `--harness`). The framework captures five layers of data: session replay (MP4), action screenshots, HTTP traffic, browser actions, and agent messages.
 
 ## Project Structure
 
@@ -34,8 +34,8 @@ ClawBench/
     model.schema.json             # JSON schema for model entries
   test-cases/
     task.schema.json              # JSON schema for task.json
-    v1/                           # V1: 153 task directories
-    v2/                           # V2: 130 task directories
+    v1/                           # V1: 152 task directories
+    v2/                           # V2: 129 task directories
     v1-lite/                      # Lite: 20 V1 task directories with linked task files
   eval/
     README.md                     # Evaluation guide + Claude Code prompt template

CONTRIBUTING.md

@@ -32,7 +32,7 @@ If no `good first issue` is currently open, just open one with your idea and we'
 
 ## Adding a new test case
 
-ClawBench currently has two full task corpora: V1 lives in `test-cases/v1/` with 153 tasks, and V2 lives in `test-cases/v2/` with 130 tasks. Both use `test-cases/task.schema.json`. Unless a maintainer asks for a V2-only contribution, add new tasks to V1.
+ClawBench currently has two full task corpora: V1 lives in `test-cases/v1/` with 152 tasks, and V2 lives in `test-cases/v2/` with 129 tasks. Both use `test-cases/task.schema.json`. Unless a maintainer asks for a V2-only contribution, add new tasks to V1.
 
 1. **Pick a task ID** — find the next available number by checking existing directories in the target corpus (`test-cases/v1/` for V1, or `test-cases/v2/` for V2).
 
@@ -125,9 +125,9 @@ Please use the [issue templates](https://github.com/reacher-z/ClawBench/issues/n
 
 Questions, task ideas, model submissions, or just want to chat about browser agents?
 
-- **Discord:** [discord.gg/clawbench](https://discord.gg/clawbench) — English, agent-builder-friendly, `#contributors` channel
+- **GitHub issues:** [open one](https://github.com/TIGER-AI-Lab/ClawBench/issues/new/choose) — fastest route to a maintainer
 - **微信群:** use the [QR code](./assets/community/wechat_grp_422.jpg)
-- **GitHub Discussions:** [github.com/reacher-z/ClawBench/discussions](https://github.com/reacher-z/ClawBench/discussions) — asynchronous, searchable
+- **Hugging Face:** [dataset discussions](https://huggingface.co/datasets/NAIL-Group/ClawBench/discussions) — asynchronous, searchable, next to the data
 - **Email:** open an issue; we respond there first
 
 ## Code of conduct