Crawler Summary

tex-render answer-first brief

Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a viewable image (equations, formulas, notation). --- name: tex-render description: Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a viewable image (equations, formulas, notation). metadata: openclaw: emoji: 📐 --- TeX Render 📐 Renders LaTeX math to PNG, JPEG, WebP, or AVIF (and SVG). Use when you need a **viewable image** from LaTeX instead of raw code. Location Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

tex-render is best for data 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: 89/100

tex-render

Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a viewable image (equations, formulas, notation). --- name: tex-render description: Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a viewable image (equations, formulas, notation). metadata: openclaw: emoji: 📐 --- TeX Render 📐 Renders LaTeX math to PNG, JPEG, WebP, or AVIF (and SVG). Use when you need a **viewable image** from LaTeX instead of raw code. Location

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Thebigoranger

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Unpublished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. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/TheBigoranger/tex-render.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

Thebigoranger

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 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

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

<skill_folder>/
├── SKILL.md
├── package.json
└── scripts/
    └── render.js

bash

cd <skill_folder>
npm install

bash

node <skill_folder>/scripts/render.js --help

bash

node <skill_folder>/scripts/render.js 'E = mc^2'
node <skill_folder>/scripts/render.js '$$\frac{F}{m}=a$$'

bash

printf '%s' "y' = f(t, y), \quad y(t_0)=y_0" | node <skill_folder>/scripts/render.js

bash

node <skill_folder>/scripts/render.js --format jpeg --quality 80 '\frac{F}{m}=a' ./out/formula
node <skill_folder>/scripts/render.js --format webp 'x^2 + y^2 = z^2'
node <skill_folder>/scripts/render.js --format avif 'E = mc^2'

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a viewable image (equations, formulas, notation). --- name: tex-render description: Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a viewable image (equations, formulas, notation). metadata: openclaw: emoji: 📐 --- TeX Render 📐 Renders LaTeX math to PNG, JPEG, WebP, or AVIF (and SVG). Use when you need a **viewable image** from LaTeX instead of raw code. Location

Full README

name: tex-render description: Renders LaTeX math to PNG, JPEG, WebP, or AVIF images using MathJax (TeX→SVG) and @svg-fns/svg2img. Invoke whenever the agent needs to output LaTeX as a viewable image (equations, formulas, notation). metadata: openclaw: emoji: 📐

TeX Render 📐

Renders LaTeX math to PNG, JPEG, WebP, or AVIF (and SVG). Use when you need a viewable image from LaTeX instead of raw code.

Location

The render script lives in the same skill folder as this SKILL.md:

<skill_folder>/
├── SKILL.md
├── package.json
└── scripts/
    └── render.js

Use the directory containing this SKILL.md as the skill path. The script is at scripts/render.js relative to that folder. Invoke: node <skill_folder>/scripts/render.js. The agent loading this skill has the skill path—use it to run the script.

Install

One-time setup. After clawhub install tex-render, run npm install in the skill folder:

cd <skill_folder>
npm install

When to Use

  • User or task asks to "render this equation as image" or "show formula as picture"
  • Your reply would contain LaTeX — render formulas as images first, then respond with plain text

Workflow: Response Contains LaTeX

Output your reply interleaved: whenever you would output LaTeX, do this instead:

  1. Send the preceding plain text — call message with the text written so far (no LaTeX).
  2. Render the LaTeX expression with this skill (default PNG; no --output dataurl). Parse the JSON for the PNG path.
  3. Send the image — call message with action: "send", path set to the rendered PNG, and message as short caption.
  4. Continue outputting the rest of the message. Repeat the cycle (text → render → send image) for each LaTeX block.

Do not output raw LaTeX. Do not ask the user for permission to render — render and send images immediately when LaTeX would appear in your reply. Do not accumulate everything and send at the end — send text and images in order as you go.

Critical: Output in order: plain text → send → LaTeX → render → send image → plain text → send → LaTeX → render → send image → … The user must receive text and images in the natural reading order.

Example: Explaining Lagrangian:
→ Send "The Lagrangian is defined as " → Render L = T - V → Send image with caption "L = T - V" → Send ". The Euler-Lagrange equation is " → Render d/dt(∂L/∂q̇) - ∂L/∂q = 0 → Send image → Send " — this yields the equations of motion."

Usage

Run: node <skill_folder>/scripts/render.js (or node scripts/render.js when already in the skill folder).

Escaping: When invoking via shell:

  • Single quotes for LaTeX without apostrophe: node scripts/render.js '\frac{d}{dt}'
  • Stdin when LaTeX contains apostrophe (e.g. y' for derivative): printf '%s' "y' = f(t, y), \quad y(t_0)=y_0" | node scripts/render.js — use double quotes so ' is literal; backslashes like \quad stay intact.
node <skill_folder>/scripts/render.js --help

Default output is PNG to ~/.openclaw/media/tex-render/. The script prints one JSON line with file paths: {"svg":"...","png":"..."} or {"svg":"...","jpeg":"..."}, etc. Use --output dataurl only when the conversation system explicitly supports Data URL images (otherwise it may show raw base64 text).

Examples (validated by npm test)

Use <skill_folder> = the directory containing this SKILL.md.

Basic (PNG default):

node <skill_folder>/scripts/render.js 'E = mc^2'
node <skill_folder>/scripts/render.js '$$\frac{F}{m}=a$$'

LaTeX with apostrophe (e.g. y'): use stdin to avoid shell quoting issues:

printf '%s' "y' = f(t, y), \quad y(t_0)=y_0" | node <skill_folder>/scripts/render.js

JPEG / WebP / AVIF:

node <skill_folder>/scripts/render.js --format jpeg --quality 80 '\frac{F}{m}=a' ./out/formula
node <skill_folder>/scripts/render.js --format webp 'x^2 + y^2 = z^2'
node <skill_folder>/scripts/render.js --format avif 'E = mc^2'

Data URL (no file):

node <skill_folder>/scripts/render.js --output dataurl 'E = mc^2'

Scale by width:

node <skill_folder>/scripts/render.js --width 800 '\int_0^\infty e^{-x^2} dx'

Inline math (smaller rendering):

node <skill_folder>/scripts/render.js --inline 'a^2 + b^2 = c^2'

Height and zoom: Use --height N or --zoom N as documented in --help.

Automatic Triggering (TOOLS.md)

To make the agent use tex-render without the user explicitly asking, add to your workspace TOOLS.md:

## LaTeX in Responses (tex-render)

**Whenever your reply would contain LaTeX** (equations, formulas, scientific notation), **use the tex-render skill** automatically. Examples: physics, math, chemistry questions with formulas.

**Workflow:** send plain text → render LaTeX → send image via message tool → continue text. Use single quotes when invoking (e.g. `'\frac{a}{b}'`).

### LaTeX / Equations (tex-render)

- When answering scientific or math questions, if your reply would contain LaTeX, use tex-render and send images — do this automatically.

Test: Ask "Explain the Lagrangian formula" without mentioning tex-render. The agent should render and send images.

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/thebigoranger-tex-render/snapshot"
curl -s "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/contract"
curl -s "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/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/thebigoranger-tex-render/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/thebigoranger-tex-render/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/thebigoranger-tex-render/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/thebigoranger-tex-render/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:53:50.112Z"
    }
  },
  "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": "data",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:data|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": "Thebigoranger",
    "href": "https://github.com/TheBigoranger/tex-render",
    "sourceUrl": "https://github.com/TheBigoranger/tex-render",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:06:51.771Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:06:51.771Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/thebigoranger-tex-render/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
  }
]

Sponsored

Ads related to tex-render and adjacent AI workflows.