Add OpenCode Go model evals site, model guide and Cloudflare Pages deploy

- Task matrix (12 task families x 23 Go models) from Artificial Analysis evals
- Price/value scatter and value ranking
- Model guide: what each model is targeted for (agentic, coding, data analysis,
  image understanding, research, free tier) with pricing and caveats
- MODELS.md markdown version, README, MIT license
- wrangler.toml + Gitea Actions workflow deploying site/ to Cloudflare Pages

README.md

@@ -1,3 +1,94 @@
 # OpenCodeGoEvals
 
-OpenCode Go model evaluation charts (task matrix, cost/value) and per-model capability descriptions.
+Benchmarks and plain-language notes for every model in the **OpenCode Go** catalog:
+a task-by-task performance matrix, cost/value analysis, and a description of what each
+model is actually targeted for (agentic work, coding, data analysis, image understanding,
+deep research, high-volume chores).
+
+Static site, no build step — it is plain HTML/CSS/ES modules, deployed to **Cloudflare Pages**.
+
+## What's here
+
+| Path | What it is |
+|---|---|
+| `site/index.html` | The site: performance matrix, price/value charts, model guide |
+| `site/assets/data.js` | Model catalogue — pricing, context, modality, target descriptions, caveats |
+| `site/assets/evals.js` | Benchmark scores (0–100) per model per task family |
+| `site/assets/app.js` | Rendering logic for the matrix, charts and guide |
+| `site/assets/style.css` | Styling |
+| `MODELS.md` | The same model descriptions in Markdown |
+| `wrangler.toml` | Cloudflare Pages project configuration |
+| `.gitea/workflows/pages.yml` | CI: builds and deploys to Cloudflare Pages on every push to `main` |
+
+## Data sources
+
+- [OpenCode Go docs](https://opencode.ai/docs/go) — pricing, monthly allowances, privacy/retention, client support
+- [OpenCode Data](https://opencode.ai/data) — catalog metadata, context windows, usage and retention stats
+- [Artificial Analysis](https://artificialanalysis.ai) — benchmark scores and the Intelligence Index
+- Vendor announcements — Google (Gemini 4 Argon), Reflection AI (Beam), Meituan (LongCat),
+  MiniMax (M3.1 Flash), xAI (Grok 4.7), StepFun (Step 5), Qwen, Zhipu, Moonshot, DeepSeek, Xiaomi, Tencent
+
+Data snapshot date: **2026-10-21**. Re-run the collection script to refresh.
+
+## Publishing to Cloudflare Pages
+
+### 1. Create the Pages project
+
+```bash
+npm install
+npx wrangler login                       # or export CLOUDFLARE_API_TOKEN
+npx wrangler pages project create opencodogoevals
+```
+
+### 2. Give CI the credentials
+
+Add these as repository secrets (Gitea: *Settings → Actions → Secrets*):
+
+| Secret | Value |
+|---|---|
+| `CLOUDFLARE_API_TOKEN` | Cloudflare API token with **Cloudflare Pages: Edit** (and Account Settings: Read) |
+| `CLOUDFLARE_ACCOUNT_ID` | The Cloudflare account that owns the Pages project |
+
+The workflow in `.gitea/workflows/pages.yml` then deploys `site/` on every push to `main`.
+
+### 3. Deploy manually (optional)
+
+```bash
+npm run deploy        # wrangler pages deploy site --project-name opencodogoevals
+npm run dev           # local preview on http://localhost:8788
+```
+
+### Custom domain
+
+Set it in Cloudflare Pages → *Custom domains*, then add a CNAME record pointing at
+`<project>.pages.dev`.
+
+## Local development
+
+The site is static — open `site/index.html` directly, or use `npm run dev` for a
+Cloudflare-compatible local server.
+
+## Updating the data
+
+1. Benchmark scores come from each model's Artificial Analysis page
+   (`https://artificialanalysis.ai/models/<slug>`) — the embedded JSON payload in the page
+   contains the full evaluation set per model.
+2. Catalog facts (pricing, context window, modalities, release date) come from
+   `https://opencode.ai/data/<lab>/<model>.json` and the Go docs.
+3. Edit `site/assets/evals.js` and `site/assets/data.js`, then regenerate `MODELS.md`
+   from `data.js` and re-commit.
+
+## Caveats
+
+- Task-matrix cells use the best published evaluation per task family; when a model has
+  not been run on a benchmark the column falls back to another one, so the underlying
+  benchmark can differ between rows in a column. Hover a cell to see which one it is.
+- Free-tier models (MiniMax M3.1 Flash Free, Beam Free, LongCat 2.5 Preview Free) are
+  limited-time offers.
+- Contributor-tier models (Gemini 4 Argon, Muse Spark 1.3) may use your prompts and
+  completions for training — check the Go docs' privacy table.
+- No Go model generates images; they are all text-output.
+
+## License
+
+MIT — see [LICENSE](LICENSE).