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
Crawler Summary
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
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
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Thebigoranger
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Thebigoranger
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
text
<skill_folder>/
├── SKILL.md
├── package.json
└── scripts/
└── render.jsbash
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'Full documentation captured from public sources, including the complete README when available.
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
Renders LaTeX math to PNG, JPEG, WebP, or AVIF (and SVG). Use when you need a viewable image from LaTeX instead of raw code.
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.
One-time setup. After clawhub install tex-render, run npm install in the skill folder:
cd <skill_folder>
npm install
Output your reply interleaved: whenever you would output LaTeX, do this instead:
message with the text written so far (no LaTeX).--output dataurl). Parse the JSON for the PNG path.message with action: "send", path set to the rendered PNG, and message as short caption.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."
Run: node <skill_folder>/scripts/render.js (or node scripts/render.js when already in the skill folder).
Escaping: When invoking via shell:
node scripts/render.js '\frac{d}{dt}'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).
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.
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.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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.