feat: legacy import — packs, examples, lab, themes, docs, lineage
Import from agentic-semantic-web/ into restructured repo: - 7 packs (apache, caddy, flask, hugo, nginx, pandoc, python) - shared error pages (403-503) - 17 lab experiments (boilerplate, charts, misc) - 31 example pages (charts, components, content, layout, vault) - 2 themes (garden, trentuna stub) - 4 docs (llms.txt, vocabulary, philosophy, agent-directive) - lineage.md (Pico/Open Props/Charts.css history) - Hugo mounts for lab/ and examples/ All agentic.css references updated to asw.css. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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examples/charts/amy-field-intelligence.html
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examples/charts/amy-field-intelligence.html
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<!doctype html>
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<html lang="en">
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<head>
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<!--#include virtual="/_include/head.html" -->
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<title>Field Intelligence Report — ASW Examples</title>
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<meta name="description" content="Investigative data analysis —
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multi-series column with labels, source reliability bar, activity area
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chart">
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</head>
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<body>
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<!--#include virtual="/_include/nav.html" -->
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<main>
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<header>
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<h1>Field Intelligence Report</h1>
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<p data-text="lead">Investigative data analysis — multi-series
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column with labels, source reliability bar, activity area chart</p>
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</header>
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<p>This report documents signal intercept patterns across Q1 2026. Charts are used as analytical instruments — each answers a specific question about the data. Combined, they outline what happened, who was responsible, and how the trend evolved.</p>
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<div data-layout="stats">
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<div>
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<span data-stat="value">247</span>
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<span data-stat="label">Intercepts analyzed</span>
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</div>
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<div>
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<span data-stat="value">6</span>
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<span data-stat="label">Source networks</span>
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</div>
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<div>
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<span data-stat="value">91%</span>
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<span data-stat="label">Verification rate</span>
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</div>
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<div>
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<span data-stat="value">3</span>
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<span data-stat="label">Priority findings</span>
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</div>
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</div>
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<h2>Intercepts by category</h2>
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<p>Column chart with <code>data-chart-labels</code> active. The thead row becomes visible axis labels. Three categories tracked across January, February, and March — each row in tbody is one category's monthly readings.</p>
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<table data-chart="column" data-chart-labels style="--chart-height: 200px">
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<caption>Signal intercepts by category — Q1 2026</caption>
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<thead>
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<tr>
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<th scope="col">Jan</th>
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<th scope="col">Feb</th>
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<th scope="col">Mar</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<th scope="row">Communication</th>
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<td style="--size: 0.55">55</td>
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<td style="--size: 0.80">80</td>
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<td style="--size: 1.0">100</td>
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</tr>
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<tr>
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<th scope="row">Electronic</th>
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<td style="--size: 0.30">30</td>
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<td style="--size: 0.45">45</td>
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<td style="--size: 0.60">60</td>
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</tr>
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<tr>
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<th scope="row">Human</th>
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<td style="--size: 0.20">20</td>
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<td style="--size: 0.28">28</td>
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<td style="--size: 0.34">34</td>
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</tr>
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</tbody>
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</table>
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<p data-text="dim">Communication intercepts nearly doubled January to March. Electronic and human sources grew at slower but consistent rates.</p>
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<div data-callout="note">
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<span data-callout-title>Key finding</span>
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<p>The acceleration in communication intercepts from February to March (+25%) coincides with increased operational tempo in target areas. Human source reporting lagged by approximately three weeks — consistent with field handler cycles.</p>
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</div>
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<h2>Source reliability ranking</h2>
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<p>Bar chart with <code>data-chart-labels</code>. Six source networks ranked by verified accuracy score over Q1. Labels active on both axes — row labels name the source, column header labels would appear if thead were present. Per-row color overrides mark the two highest-reliability sources.</p>
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<table data-chart="bar" data-chart-labels data-chart-spacing="3">
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<caption>Source reliability score — Q1 2026 (0–100)</caption>
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<tbody>
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<!-- max=94, SIGINT-Alpha -->
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<tr style="--color: var(--accent)">
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<th scope="row">SIGINT-Alpha</th>
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<td style="--size: 1.0" data-value="94">94</td>
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</tr>
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<tr style="--color: var(--accent)">
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<th scope="row">HUMINT-Bravo</th>
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<td style="--size: 0.915" data-value="86">86</td>
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</tr>
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<tr>
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<th scope="row">OSINT-Charlie</th>
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<td style="--size: 0.798" data-value="75">75</td>
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</tr>
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<tr>
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<th scope="row">ELINT-Delta</th>
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<td style="--size: 0.734" data-value="69">69</td>
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</tr>
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<tr>
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<th scope="row">IMINT-Echo</th>
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<td style="--size: 0.617" data-value="58">58</td>
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</tr>
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<tr>
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<th scope="row">MASINT-Foxtrot</th>
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<td style="--size: 0.511" data-value="48">48</td>
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</tr>
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</tbody>
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</table>
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<p data-text="dim">SIGINT-Alpha and HUMINT-Bravo marked in green — both cleared for high-confidence reporting. Remaining sources require corroboration before intelligence product.</p>
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<h2>Activity trend — 8-week arc</h2>
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<p>Area chart tracing cumulative signal activity from week 1 through week 8 of Q1. The fill below the line makes the rising trend immediately legible — area charts are well-suited to showing how something builds over time.</p>
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<table data-chart="area" style="--chart-height: 180px">
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<caption>Signal activity volume — weeks 1–8, Q1 2026</caption>
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<tbody>
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<tr><th scope="row">Wk 1</th><td style="--size: 0.18">18</td></tr>
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<tr><th scope="row">Wk 2</th><td style="--size: 0.24">24</td></tr>
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<tr><th scope="row">Wk 3</th><td style="--size: 0.31">31</td></tr>
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<tr><th scope="row">Wk 4</th><td style="--size: 0.45">45</td></tr>
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<tr><th scope="row">Wk 5</th><td style="--size: 0.52">52</td></tr>
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<tr><th scope="row">Wk 6</th><td style="--size: 0.68">68</td></tr>
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<tr><th scope="row">Wk 7</th><td style="--size: 0.84">84</td></tr>
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<tr><th scope="row">Wk 8</th><td style="--size: 1.0">100</td></tr>
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</tbody>
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</table>
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<p data-text="dim">Volume increased 5.5× from week 1 to week 8. The acceleration is consistent — no anomalous spike, suggesting systematic increase in monitored activity rather than a single triggering event.</p>
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<h2>Chart patterns used</h2>
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<table>
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<thead>
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<tr><th>Chart</th><th>Attribute</th><th>What it shows</th></tr>
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</thead>
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<tbody>
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<tr><td>Column + labels</td><td><code>data-chart="column" data-chart-labels</code></td><td>Multi-series monthly data with visible axis</td></tr>
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<tr><td>Bar + labels + color</td><td><code>data-chart="bar" data-chart-labels</code> + <code>style="--color: ..."</code></td><td>Ranked comparison with highlighted outliers</td></tr>
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<tr><td>Area</td><td><code>data-chart="area"</code></td><td>Trend accumulation over time</td></tr>
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</tbody>
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</table>
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</main>
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<!--#include virtual="/_include/footer.html" -->
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</body>
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</html>
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