Crawler Summary

tufte-data-viz answer-first brief

Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode). --- name: tufte-data-viz description: >- Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode). allowed-tools: Read, Glob, Grep - Capability contract not published. No trust telemetry is available yet. 34 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

tufte-data-viz is best for provide, say workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 100/100

tufte-data-viz

Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode). --- name: tufte-data-viz description: >- Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode). allowed-tools: Read, Glob, Grep -

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals34 GitHub stars

Capability contract not published. No trust telemetry is available yet. 34 GitHub stars reported by the source. Last updated 4/15/2026.

34 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Caylent

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 34 GitHub stars reported by the source. Last updated 4/15/2026.

Setup snapshot

git clone https://github.com/caylent/tufte-data-viz.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Caylent

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

34 GitHub stars

profilemedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode). --- name: tufte-data-viz description: >- Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode). allowed-tools: Read, Glob, Grep -

Full README

name: tufte-data-viz description: >- Use when creating, reviewing, or styling charts, graphs, dashboards, sparklines, or any data visualization. Applies to Recharts, ECharts, Chart.js, matplotlib, Plotly, seaborn, D3.js, and SVG. Enforces Tufte principles (data-ink ratio, direct labeling, range-frame axes) plus modern screen-first standards (accessibility, responsive, dark mode). allowed-tools: Read, Glob, Grep

Tufte Data Visualization

Apply Edward Tufte's principles whenever generating or reviewing code that renders data visually. This skill covers chart generation, not slide/presentation design.

Workflow

Follow these steps in order when creating any chart:

Step 1: Identify the message

Before writing code, determine:

  1. The key finding or trend the chart must make visible.
  2. The comparison context — a baseline, prior period, target, or peer group. A number without context is meaningless.
  3. The chart type that best fits the data structure (see Chart type guidance below).

Step 2: Apply universal rules

Review the rules below. Every rule is a default — deviate only when the user explicitly requests otherwise.

Step 3: Apply library-specific config

Use the Library quick reference table to find the essential overrides for the target library. For complete code examples and helper functions, read ONE rule file from rules/ matching the library.

Step 4: Validate

Run through the validation checklist at the bottom of this file before presenting the chart.


Universal rules

Rules 1–14 cover static principles; 15–19 extend them for screens; 20–22 address content and formatting.

1. Remove top and right borders

No chart should have top or right axis lines, borders, or spines. The bottom and left axes are sufficient. Top and right lines are pure chartjunk.

2. Direct labels, not legends

Label each data series directly — at the endpoint of a line, on or beside a bar, next to a cluster. Remove the <Legend> component entirely. If there is only one series, the chart title provides that context; no label is needed.

3. No gridlines by default

The default is zero gridlines. For static charts where users need to read precise values, add horizontal-only gridlines at very low opacity (0.08–0.12). For interactive charts, prefer a contextual crosshair on hover instead (see rule 15). Never add vertical gridlines.

4. Range-frame axes

Axis lines should span only the range of the data, not from zero to some arbitrary maximum. The axis starts at (or near) the minimum data value and ends at the maximum.

5. No 3D effects

No perspective, no depth, no shadows on chart elements. Two-dimensional data gets two-dimensional representation.

6. No pie charts unless explicitly requested

Default to a horizontal bar chart sorted by value. If the user explicitly asks for a pie chart: maximum 4 slices, 2D only, start at 12 o'clock, direct percentage labels on each slice.

7. Aspect ratio ~1.5:1

Charts should be approximately 50% wider than tall. Standard sizes: 600x400, 750x500, 900x600. Exception: sparklines and small multiples may be more compact.

8. Gray first, highlight selectively

The default data series color is medium gray (#666). Use a single accent color to highlight the most important series or data point. Never use more than 4 distinct colors. Choose the right palette type: categorical (4-color muted) for unordered groups, sequential (single-hue ramp) for ordered magnitude, diverging (two-hue from center) for deviation from a midpoint. See rules/typography-and-color.md for hex values.

9. Off-white background

Light mode: #fffff8. Dark mode: #151515. Never use pure white (#ffffff) or pure black (#000000).

10. Serif fonts for data

Use serif fonts for data labels, annotations, and chart titles: "ET Book", "Palatino Linotype", Palatino, "Book Antiqua", Georgia, serif. Sans-serif (system-ui, sans-serif) is acceptable only for small axis tick labels (11-12px).

11. No dual y-axes

Two y-axes on one chart create false implied correlations. Use small multiples instead — two charts stacked vertically with shared x-axis.

12. Annotate the notable

If the data contains a peak, trough, inflection point, or event boundary, add a text annotation pointing to it directly on the chart. Place annotations in the nearest clear space — offset from the data point with a short leader line if needed. When multiple annotations compete for space, keep only the most important; move others to a footnote or tooltip.

13. Show comparison context

Include at least one reference element: a reference line (average, target, prior period), a shaded band, or a second series. A chart showing one line with no context fails the "Compared to what?" test.

14. Minimal tooltips

Tooltips should be plain text with the data value and label. No colored background, no border, no arrow pointer, no shadow.

15. Progressive disclosure over static density

Default to the Tufte-clean overview — high data-ink, minimal chrome. Layer details through hover, tap, and click (values, annotations, comparisons). Don't frontload everything onto a single static view. A contextual crosshair on hover replaces permanent gridlines.

16. Accessible by default

3:1 contrast ratio minimum for chart elements against their background; 4.5:1 for text in charts. Never use color as the sole differentiator — pair with shape, pattern, or direct label. Provide a text alternative for every chart (aria-label with key finding, or companion data table). Interactive charts must be keyboard-navigable.

17. Responsive, not just resized

Charts must have a responsive strategy — fluid (percentage width + viewBox), adaptive (breakpoint-based layout changes), or hybrid. At narrow viewports, change chart type or layout (horizontal bars for categories, reduced tick density, abbreviated labels), don't just shrink.

18. Animate to explain, not to decorate

Transitions for data changes (sorting, filtering, time progression) are good — they help the viewer track transformations. Gratuitous entrance animations, bouncing, and decorative motion are chartjunk. Duration: 200–500ms, ease-out. Always respect prefers-reduced-motion.

19. Dark mode as first-class citizen

Design both light and dark palettes intentionally. Never invert colors. Reduce saturation in dark mode (bright colors "vibrate" on dark backgrounds). Respect prefers-color-scheme. Use semantic color tokens (--tufte-bg, --tufte-text, --tufte-series-default) so charts adapt automatically.

20. Titles assert findings

The chart title states the key insight, not the axis description. "Revenue Surged 23% in Q3" not "Revenue by Quarter, 2024". The subtitle can provide context ("vs. prior year, USD millions"). If the data has no clear finding, the chart may not be needed (see rule 22).

21. Format numbers for humans

Abbreviate large numbers: $1.2M not $1,200,000. Use thousand separators for mid-range numbers (12,450 not 12450). Match decimal precision to significance (don't show $4.2391M when $4.2M suffices). Right-align numbers in tables. Use consistent units and state them once (in the axis label or title), not on every data point.

22. Don't chart what a sentence can say

If the data is 1–2 numbers, write a sentence with inline context ("Revenue was $4.2M, up 23% from Q2"). If the data is a simple ranking of 3–5 items, consider a table. Charts earn their space by revealing patterns, trends, or distributions that text and tables cannot. A chart of two bars is almost always worse than a sentence.


Library quick reference

The universal rules above are sufficient for most charts. For complete code examples and library-specific helpers, read the appropriate rule file from the rules/ directory in this skill's folder. Only read ONE rule file per task.

| Library | Rule file to read | Essential config (apply even without reading the file) | |---------|-------------------|--------------------------------------------------------| | Recharts | rules/recharts.md | <CartesianGrid stroke="none" />, remove <Legend />, <YAxis axisLine={false} tickLine={false} />, <Line dot={false} strokeWidth={1.5} /> | | ECharts | rules/echarts.md | splitLine: { show: false }, legend: { show: false }, grid: { show: false }, use endLabel on series | | Chart.js | rules/chartjs.md | grid: { display: false }, border: { display: false }, plugins.legend.display: false, use chartjs-plugin-datalabels | | matplotlib | rules/matplotlib.md | spines['top'].set_visible(False), spines['right'].set_visible(False), spines['bottom'].set_bounds(min, max), font.family: serif | | Plotly | rules/plotly.md | showgrid=False, showlegend=False, plot_bgcolor='#fffff8', zeroline=False | | D3/SVG/HTML | rules/svg-html.md | .domain { display: none }, no <rect> backgrounds, stroke-opacity: 0.1 for any gridlines |


Chart type guidance

| Type | Key settings | |---|---| | Line | 1.5–2px stroke, dot={false} unless <7 points (then r=2), direct label at rightmost point | | Bar | Prefer horizontal for categories, sort by value descending, direct value labels, #7a7a7a default fill | | Scatter | Gray dots #999 r=3, highlight key cluster/outlier with accent, regression line if meaningful (dashed, thin) | | Time series | Label events on chart ("Recession", "Launch"), range-frame x-axis, YoY via opacity (current solid, prior 30%) | | Small multiples | Same scale ALL panels, shared axis labels (x on bottom row, y on left column), no panel borders | | Sparklines | ~80x20px, no axes/labels/gridlines, min/max dots r=1.5, embed inline in text or table cells | | Data tables | No zebra striping, whitespace + thin rules every 3–5 rows, right-align numbers, font-feature-settings: 'onum' 1 | | Slopegraph | Before/after categories, label both endpoints (value + name), gray default + highlight key slopes | | Area | Prefer lines. If area: fillOpacity 0.03–0.08, no gradient, direct labels at endpoints | | Stacked bar | Avoid — use small multiples instead. If forced: sort by total, direct labels per segment, max 4 segments | | Heatmap | Sequential or diverging palette only, value labels in cells, companion data table for accessibility |

For small multiples, sparklines, and slopegraph implementation patterns, see rules/small-multiples-sparklines.md.


Color quick reference

| Token | Light | Dark | |---|---|---| | Background | #fffff8 | #151515 | | Text | #111 | #ddd | | Text secondary | #666 | #999 | | Axis/rule | #ccc | #444 | | Grid (if used) | #eee (8-12% opacity) | #333 | | Default series | #666 | #999 | | Highlight | #e41a1c | #fc8d62 |

Categorical (max 4): #4e79a7 steel blue · #f28e2b tangerine · #e15759 coral · #76b7b2 sage

Font stacks in rule 10. For full palettes (sequential, diverging), font loading, and old-style figures, see rules/typography-and-color.md.


Anti-pattern detection

When reviewing existing chart code, check for: legends (→ direct labels), pie charts (→ horizontal bars), 3D effects (→ flat 2D), dual y-axes (→ small multiples), heavy gridlines (→ remove or 0.1 opacity), rainbow palettes (→ gray + accent), gauge widgets (→ number + sparkline), gradient fills (→ solid color), rotated labels (→ flip axes or abbreviate), pure white/black backgrounds (→ #fffff8/#151515), hover-only information (→ tap/focus fallback), missing text alternatives (→ aria-label), color-only encoding (→ add shape/pattern).

For the full table with per-library detection patterns and one-liner fixes, see rules/anti-patterns.md.


Validation checklist

Before presenting any chart, verify:

  • [ ] No top or right borders/spines
  • [ ] No Legend component — series labeled directly on the chart
  • [ ] Gridlines removed or horizontal-only at opacity <= 0.12
  • [ ] Aspect ratio approximately 1.5:1
  • [ ] Background is #fffff8 (light) or #151515 (dark), not pure white/black
  • [ ] Serif font for data labels and titles
  • [ ] Default series color is gray (#666); color used only for emphasis
  • [ ] No 3D effects, no pie chart (unless explicitly requested)
  • [ ] Axis lines span only the data range (range-frame)
  • [ ] Notable data features annotated directly on chart
  • [ ] Comparison context present (reference line, band, or second series)
  • [ ] Tooltips are plain text with no decorative styling
  • [ ] Interactive elements have tap/click/focus alternatives (no hover-only)
  • [ ] Contrast ratios meet 3:1 (elements) / 4.5:1 (text) minimums
  • [ ] Chart has a text alternative (aria-label, description, or data table)
  • [ ] Animations respect prefers-reduced-motion
  • [ ] Charts render usably at 320px and 1440px+ widths
  • [ ] Title states the finding, not the axis description
  • [ ] Numbers are formatted for readability (abbreviations, separators, consistent precision)
  • [ ] A chart is warranted — the data couldn't be communicated as a sentence or table

Additional resources

Library rules (read ONE per task): rules/recharts.md, rules/echarts.md, rules/chartjs.md, rules/matplotlib.md, rules/plotly.md, rules/svg-html.md — complete code examples, helpers, and theme registrations.

Cross-cutting (read when specifically needed):

  • rules/interactive-and-accessible.md — progressive disclosure, WCAG, responsive, animation, dark mode
  • rules/typography-and-color.md — font loading, full palette tables, old-style figures
  • rules/anti-patterns.md — per-library detection heuristics and fixes
  • rules/small-multiples-sparklines.md — layout patterns for small multiples, sparklines, slopegraphs

Working examples in examples/ — one per library, plus an inline SVG sparkline.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/snapshot"
curl -s "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/contract"
curl -s "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:42:12.613Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "provide",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "say",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:provide|supported|profile capability:say|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Caylent",
    "href": "https://github.com/caylent/tufte-data-viz",
    "sourceUrl": "https://github.com/caylent/tufte-data-viz",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:14:25.774Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:14:25.774Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "34 GitHub stars",
    "href": "https://github.com/caylent/tufte-data-viz",
    "sourceUrl": "https://github.com/caylent/tufte-data-viz",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:14:25.774Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/caylent-tufte-data-viz/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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Ads related to tufte-data-viz and adjacent AI workflows.