Changelog, dev startup, README, AgentHub 0.4.0, model catalog, and landing site (#7)

Branch-length batch covering tooling, the model layer, the Web App and the public
surfaces. Highlights:

- Changelog: a per-release `changelog/<version>/` tree, grouped by the surface each
  change touches, with a root CHANGELOG.md holding one line per release.
- Dev startup: `scripts/dev-prebuild.mjs` serializes the skills+core prebuild behind a
  lock and keeps `pnpm install` current; `pnpm dev` runs server+web together.
- AgentHub 0.3.3 -> 0.4.0: OmniMessage complete payloads carry one opaque `fidelity`
  object in place of item-level `signature`/`phase`, threaded verbatim through Trace,
  replay and resume; malformed classification adapted to the new error types.
- Model layer: a model is always referenced by an explicit `(provider, model_id)` pair.
  The provider is never inferred, guessed or defaulted -- both the catalog inference and
  the unique-match config resolution are gone, and CLI, SDK, server routes and
  run_subagent all require the complete pair. Catalog gains the Qwen Token Plan, Qwen
  Pay-As-You-Go and Fireworks AI gateways, plus an expanded OpenRouter group.
- Web App: catalog preset sync and per-group speed test on the Models page, positional
  slash commands, a markdown renderer, skill-library update reminders, and a vertically
  centred draft page whose upward menus size themselves to the room available.
- Public surfaces: restructured READMEs, the penguin.ooo landing site and blog, refreshed
  benchmark results for both suites, and the demo videos playing on the landing page.

Includes the fixes from a full review of the branch: 23 confirmed findings, among them a
provider-inference bug that could send one vendor's API key to another vendor's endpoint,
and an Escape handler that destroyed the composer's contents unrecoverably.

Verified on the branch head: pnpm test (1127 passing, 7 packages), pnpm typecheck and
pnpm format:check clean, Playwright e2e 14/14.

changelog/0.0.2/2026-07-20-readme-blog-and-docs.md

@@ -0,0 +1,74 @@
+# READMEs, blog, and docs site
+
+## READMEs
+
+The repository READMEs (en/zh).
+
+### Restructure the README around the product story
+
+The README now leads with the agents-build-agents pitch and community links, then three
+feature showcases (benchmark chart, one-sentence RAG demo, self-evolution), followed by
+changelog/blog/docs, supported models, human-first installation, a roadmap, CONTRIBUTING,
+a citation, and credits.
+
+### Details
+
+- New narrative header: "With LangChain, you build agents by hand — at 1x speed. With
+  PenguinHarness, agents build agents — at 100x." with the subtitle "A zero-code CLI and
+  Web UI, connected to 1000+ models," plus community links (Discord / X / WeChat).
+- Feature 1 "Simple and Efficient": light/dark benchmark bar charts generated from the
+  landing benchmark data (accuracy and cost per run vs Claude Code and OpenAI Codex, all
+  driven by DeepSeek V4 Pro), committed as `assets/readme/benchmark-{light,dark}.svg`.
+- Feature 2 "Build an Agent in One Sentence": the RAG one-sentence prompt plus a real
+  product screenshot captured by the new `packages/landing/scripts/capture-readme-demo.mjs`
+  (same real-server + mock-LLM pipeline as the landing shots), committed as
+  `assets/readme/rag-demo-{light,dark}.webp`.
+- Feature 3 "Self-Evolution": copy describing the evaluate-optimize-snapshot loop with an
+  HTML-comment placeholder for the upcoming demo video.
+- New sections: Changelog / Blog / Docs links, a supported-models table (DeepSeek V4,
+  Kimi K3, GLM 5.2, Hunyuan 3, Qwen 3.8 Max, GPT 5.5, Gemini 3.5 Flash, Claude Opus 4.8
+  with their providers, plus the 1000+-via-gateways note), Requirements and Installation
+  split into "Web App — for humans" and "CLI & SDK — for agents", a Roadmap (benchmark
+  suite release), a BibTeX citation ({PrismShadow Team}), and the license/credits footer.
+- New `CONTRIBUTING.md` absorbs the developer content: dev commands, repo layout table,
+  quality gates, the English-only and changelog working rules, and the README-asset
+  regeneration notes; the README's Development section now points there.
+- `README.zh.md` mirrors the new structure in Chinese.
+
+### Refresh the README model table against the current catalog
+
+The supported-models table (the same eight models) becomes two columns — model on the
+left, the comma-separated providers it's available from on the right (per today's catalog)
+— and the note below now names all five OpenAI-compatible gateways.
+
+### Details
+
+- Availability per the catalog: DeepSeek V4 in five groups, GLM 5.2 in six, Kimi K3 via
+  OpenRouter and Qwen Pay-As-You-Go, Qwen 3.8 Max as the Token Plan preview, GPT 5.5 and
+  Claude Opus 4.8 native + OpenRouter, Hunyuan 3 via OpenRouter, Gemini 3.5 Flash native.
+- The gateway note lists OpenRouter, Fireworks AI, SiliconFlow, Qwen Token Plan, and
+  Qwen Pay-As-You-Go. README.zh.md mirrors.
+
+### Split badge rows and showcase the finished RAG app
+
+The site badges (Website / Docs / Blog) and the community badges (Discord / X / WeChat) now sit on separate lines. The one-sentence example becomes the condensed claude-code-docs configuration-expert prompt (the chat page's example task carries the full version), and the demo image shows the FINISHED PRODUCT — the generated docs-expert app with cited clickable sources and example questions (`assets/readme/rag-app-<lang>-<theme>.webp`, per-language shots; the zh README shows the Chinese prompt and shots) — instead of the PenguinHarness chat UI. The mockup renderer (`rag-app-mockup.html` + rewritten `capture-readme-demo.mjs`, no server needed) comes along so the assets stay regenerable.
+
+## Blog and docs site
+
+Blog posts and the docs site.
+
+### Announcement bar, AMD Fireworks-credits blog post, and the GDPevo launch story
+
+The site gains a rotating announcement bar, a new campaign post, and a launch post that finally tells the whole story.
+
+- **Announcement bar** — a switchable bar above the nav (auto-rotates every 6s, paused on hover, prev/next chevrons): entry 1 announces Kimi K3 and Qwen 3.8 Max availability (links to the models docs), entry 2 the $50 Fireworks credits campaign (links to the new post). Bilingual, on every page, scrolls away with the page.
+- **New blog post `fireworks-credits-amd` (en/zh)** — announces the AMD AI Developer Program partnership bringing free Fireworks redemption codes: step-by-step application (join ADP, Member Perks, form with Fireworks AI selected, review, coupon email, redeem + API key, screenshots adapted from WhatGhost's guides with credit), then a three-step PenguinHarness setup (install, Fireworks group bulk-key + presets + speed test, run).
+- **Launch post rewrite (en/zh)** — now opens with the GDPevo origin story: self-evolution was validated in the team's GDPevo Benchmark (linked), and bringing it to everyone is why PenguinHarness exists. The rest mirrors the README: three numbered reasons with the benchmark chart and RAG demo images (served from the site's own /blog-assets/), the security contract, the models table with the any-OpenAI-protocol note, install/usage steps, the roadmap (benchmark suite, desktop app, Windows), and a closing community call-to-action (Discord / X / WeChat / GitHub).
+
+### The launch post settles on the numbered three-reasons structure
+
+The launch blog post (en/zh) keeps the GDPevo origin story and the numbered "Why PenguinHarness" structure — ### 1 better on complex tasks at lower cost (benchmark chart + tables), ### 2 one-sentence Agent-builds-your-app (prompt + demo shot), ### 3 self-evolution — followed by the security contract, the models table, a Web-only "How to use it" (install + penguin web + Models page; no CLI commands), the roadmap, and the community call-to-action.
+
+### The launch post shows the finished RAG app with the condensed prompt
+
+The one-sentence build section now uses the condensed claude-code-docs configuration-expert prompt (Chinese in the zh post) and the finished-product screenshot of the generated docs-expert app (per-language, served from /blog-assets/), replacing the PenguinHarness chat capture.