analyzer: Improve detection algorithms and refactor HTML rendering

Why:

The analyzer previously treated all sentence differences as binary
(missing or added), failing to capture how Grokipedia often rewords
Wikipedia content rather than omitting or fabricating it entirely.
This made it impossible to distinguish benign paraphrasing from
misleading alterations. Additionally, HTML rendering logic was tightly
coupled with command code, hindering maintainability, and the content
hash calculation relied on a deprecated field.

What:

 Algorithmic improvements:
 - Add detectRewordedSentences() with 65% similarity threshold
 - Add detectAgreedSentences() for exact sentence matching
 - Add detectFactualErrors() analyzing numeric/entity discrepancies
 - Enhance detectHallucinationEvents() with speculative keywords
 - Add reconstructTextFromStructured() to rebuild article text
 - Update confidence scoring to account for new metrics
 - Fix content hash to use reconstructed text instead of field

 UI/rendering improvements:
 - Extract HTML generation to html-renderer.ts
 - Create template-renderer.ts for variable substitution
 - Add report.html template with card-based layout
 - Refactor show.ts to use new rendering system
 - Update build script to copy templates to dist

 Data structure updates:
 - Add reworded_sentences, truly_missing_sentences, agreed_sentences
 - Add factual_errors to discrepancies
 - Remove deprecated text and media fields
 - Add analysis_window metadata

Author: doguabaris

data/grok/moon.parsed.json

@@ -90,7 +90,7 @@
     "vitest": "^3.1.1"
   },
   "scripts": {
-    "build": "npx tsc",
+    "build": "npx tsc && cp -r src/templates dist/",
     "start": "node dist/cli.js",
     "test": "vitest run",
     "lint": "eslint . --ext .ts",

data/wiki/moon.parsed.json

@@ -55,7 +55,7 @@ const buildTopicContext = (topic: Topic): TopicContext => {
   const grokArticle = readStructuredArticle(paths.GROK_DIR, topic, 'grok');
   const wikiSource = prepareAnalyzerSource(wikiArticle);
   const grokSource = prepareAnalyzerSource(grokArticle);
-  const contentHash = computeContentHash(wikiArticle.text, grokArticle.text);
+  const contentHash = computeContentHash(wikiSource.text, grokSource.text);
   return {
     wikiSource,
     grokSource,