Crawler Summary

math-worksheets answer-first brief

Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, practice problems, homework help sheet, or answer key for any K-12 math topic. --- name: math-worksheets description: Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, pract Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/24/2026

Best For

math-worksheets is best for use 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

math-worksheets

Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, practice problems, homework help sheet, or answer key for any K-12 math topic. --- name: math-worksheets description: Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, pract

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 24, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 24, 2026

Vendor

Stellawuellner

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 2/24/2026.

Setup snapshot

git clone https://github.com/stellawuellner/math-worksheets-skill.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

Stellawuellner

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 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

bash

SKILL_DIR="$(dirname "$0")"
result=$(bash "$SKILL_DIR/scripts/check_reasoning_model.sh")
status=$(echo "$result" | awk '{print $1}')   # FOUND, FALLBACK, or NONE
model_alias=$(echo "$result" | awk '{print $2}')
model_full=$(echo "$result" | awk '{print $3}')

text

sessions_spawn(task="<problem generation prompt>", model=model_alias)

text

sessions_spawn(task="<generation prompt>", model=model_alias)

text

⚠️ No reasoning model or Opus detected. Worksheet generated with [current model].
For best accuracy, especially on multi-step problems, configure one of:
  • Gemini 2.5 Pro DeepThink  — google.generativeai.com (free tier available)
  • o1 / o3                   — platform.openai.com
  • DeepSeek R1               — platform.deepseek.com (very affordable)
  • Claude Opus               — console.anthropic.com
SymPy verification will catch most errors regardless.

bash

brew install tectonic   # macOS/Linux — downloads packages on demand

latex

\usepackage[margin=1in, top=0.75in, bottom=0.75in]{geometry}
\usepackage{amsmath, amssymb}
\usepackage{tikz, pgfplots}
\usepackage{enumitem, fancyhdr, multicol, array, booktabs}
\pgfplotsset{compat=1.18}

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, practice problems, homework help sheet, or answer key for any K-12 math topic. --- name: math-worksheets description: Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, pract

Full README

name: math-worksheets description: Generate professional math practice worksheets and full answer keys as PDFs. Compiles LaTeX to PDF using tectonic (free, no account needed). Supports any math topic from elementary through high school (Pre-Algebra, Algebra 1/2, Geometry, Pre-Calc). Handles coordinate plane grids, geometric figures, tables, and multi-part problems. Use when a user asks for a math worksheet, practice problems, homework help sheet, or answer key for any K-12 math topic.

Math Worksheet Generator

Generate a student worksheet PDF + full step-by-step answer key PDF for any K-12 math topic. Compiles LaTeX with tectonic (no TeX installation required — it auto-downloads packages).

Model Selection (Automatic)

This skill auto-detects the best available reasoning model and uses it for problem generation. Reasoning models (o1, o3, DeepSeek R1, Gemini DeepThink) work through math step-by-step and make significantly fewer errors than standard models.

Model rankings are kept fresh via a three-layer fallback:

  1. Hosted JSON (fetched from GitHub, 7-day cache) — updated by maintainers as models ship
  2. Bundled JSON (references/model-rankings.json) — updated with each skill release on ClawhHub
  3. Hardcoded defaults in the script — last-resort, never stale enough to cause failures

To update rankings without waiting for a skill release: edit the hosted JSON at the GitHub URL in references/model-rankings.md. The skill picks it up within 7 days.

Step 0 — run model detection before anything else:

SKILL_DIR="$(dirname "$0")"
result=$(bash "$SKILL_DIR/scripts/check_reasoning_model.sh")
status=$(echo "$result" | awk '{print $1}')   # FOUND, FALLBACK, or NONE
model_alias=$(echo "$result" | awk '{print $2}')
model_full=$(echo "$result" | awk '{print $3}')

Then branch on the status:

FOUND_REASONING (o3, o1, DeepThink, DeepSeek R1) — best case, use for problem generation:

sessions_spawn(task="<problem generation prompt>", model=model_alias)

No warning needed. Sub-agent writes the .tex files + verify script, announces completion.

FOUND_STRONG (Claude Opus) — excellent quality, use it without alarming the user:

sessions_spawn(task="<generation prompt>", model=model_alias)

Optionally add a quiet note: "Using Opus — solid math accuracy and excellent LaTeX. For the hardest Algebra 2 problems, a reasoning model (DeepThink/o1) would be marginally better."

NONE — standard model only; proceed but surface a clear recommendation:

⚠️ No reasoning model or Opus detected. Worksheet generated with [current model].
For best accuracy, especially on multi-step problems, configure one of:
  • Gemini 2.5 Pro DeepThink  — google.generativeai.com (free tier available)
  • o1 / o3                   — platform.openai.com
  • DeepSeek R1               — platform.deepseek.com (very affordable)
  • Claude Opus               — console.anthropic.com
SymPy verification will catch most errors regardless.

| Status | Model examples | Action | |---|---|---| | FOUND_REASONING | DeepThink, o1, o3, R1 | Spawn silently, no warning | | FOUND_STRONG | Claude Opus 4.x | Spawn silently, optional quiet note | | NONE | Sonnet, Flash, GPT-4o | Use current model + show recommendation |

Prerequisites

brew install tectonic   # macOS/Linux — downloads packages on demand

Output directory (create if needed): ~/Documents/Worksheets/

Workflow

1. Gather requirements

Ask (or infer from context):

  • Student: name, grade, course (e.g. "8th grade, Pre-Algebra")
  • Topic: e.g. "factoring trinomials", "solving two-step equations"
  • Problem count: default 10 if not specified
  • Format preference: timed quiz, homework practice, mixed difficulty, or topic drill

Photo input shortcut: If the user sends a photo of homework or a textbook page, use the image tool to extract problem types, format, and difficulty — then mirror that style exactly.

2. Design problems

Design problems appropriate to the student's level. Increase difficulty gradually across the set. Every problem must be mathematically correct — verify your own solutions.

See references/problem-library.md for topic-specific problem type menus.

3. Write LaTeX source

Write three .tex files to /tmp/:

  • ws_TOPIC_DATE.tex — student worksheet (blank work areas)
  • ak_TOPIC_DATE.tex — answer key (full step-by-step solutions)
  • ss_TOPIC_DATE.tex — skills summary / study guide (cheat sheet)

The skills summary is a 1–2 page reference card the student can use while working through the worksheet or when studying. It contains:

  • One section per distinct skill tested (2–5 sections typical)
  • A formula/rule box (blue) per skill — the key facts and formulas
  • A mini worked example (green) per skill — brief pattern demonstration, simpler than worksheet problems
  • An optional watch-out box (orange) — common mistakes worth flagging
  • Optional key vocabulary section at the bottom

See references/latex-templates.md → "Skills Summary / Study Guide Template" for the full shell and box macros.

See references/latex-templates.md for document templates, coordinate planes, tables, geometric figures, and answer key patterns.

Required packages (include in every document):

\usepackage[margin=1in, top=0.75in, bottom=0.75in]{geometry}
\usepackage{amsmath, amssymb}
\usepackage{tikz, pgfplots}
\usepackage{enumitem, fancyhdr, multicol, array, booktabs}
\pgfplotsset{compat=1.18}

Work space defaults: \vspace{5cm} per problem; 8cm for multi-step; 10cm+ for graphs.

4. Write and run the verification file

Before compiling, write /tmp/verify_TOPIC_DATE.json — a structured data file describing each problem and its expected answer. The bundled scripts/verify.py evaluates this using SymPy. No generated code is ever executed.

bash "$SKILL_DIR/scripts/run_verify.sh" /tmp/verify_TOPIC_DATE.json

JSON format:

{
  "topic": "graphing polynomials",
  "problems": [
    {"id": 1, "type": "solve",  "expr": "x**2 - 5*x + 6",      "expected": [2, 3]},
    {"id": 2, "type": "factor", "expr": "x**2 - 7*x + 12",     "expected": "(x-3)*(x-4)"},
    {"id": 3, "type": "eval",   "expr": "(x-1)*(x+2)", "at": {"x": 0}, "expected": -2},
    {"id": 4, "type": "zeros",  "expr": "x*(x-3)**2",           "expected": [0, 3]},
    {"id": 5, "type": "expand", "expr": "(x+2)**2",             "expected": "x**2 + 4*x + 4"},
    {"id": 6, "type": "manual", "desc": "Graph sketch — verify visually"}
  ]
}

Type reference:

| Type | Verifiable? | What it checks | |---|---|---| | solve | ✅ | Roots of expr=0 match expected list | | factor | ✅ | Factored form matches expected | | expand | ✅ | Expanded form matches expected | | eval | ✅ | expr evaluated at given values matches expected | | zeros | ✅ | Zeros of expr match expected list | | manual | 👁 | Flagged for human review — never fails automatically |

Use manual for: graph sketches, sign charts, word problem setups, proofs.

If verification fails (exit 1): fix the LaTeX answer key and re-run. Do not compile until the answer key is correct.

5. Compile

SKILL_DIR="$(dirname "$0")"
bash "$SKILL_DIR/scripts/compile.sh" /tmp/ws_TOPIC_DATE.tex ~/Documents/Worksheets/
bash "$SKILL_DIR/scripts/compile.sh" /tmp/ak_TOPIC_DATE.tex ~/Documents/Worksheets/
bash "$SKILL_DIR/scripts/compile.sh" /tmp/ss_TOPIC_DATE.tex ~/Documents/Worksheets/

5. Deliver

Send all three PDFs via the same channel the request came from:

  • Telegrammessage tool with filePath (copy to ~/.openclaw/media/outbound/ first)
  • iMessage/SMSimsg skill
  • Emailgog skill (send all three as attachments)

Suggested send order: skills summary first (study guide), then worksheet, then answer key.

Printing: Do NOT print unless explicitly asked. If asked, print worksheet + skills summary (not answer key, unless requested). Use lpr -P <printer_name>.

Quality Checklist

Before compiling, verify each problem:

  • [ ] Mathematically correct (you checked the solution)
  • [ ] Unambiguous problem statement
  • [ ] Appropriate difficulty for the student's level
  • [ ] Sufficient work space
  • [ ] Diagrams/graphs/tables included where needed
  • [ ] Problems vary across the set (not all the same sub-type)

File Naming

ws_algebra2_factoring_2026-02-22.pdf   ← worksheet
ak_algebra2_factoring_2026-02-22.pdf   ← answer key
ss_algebra2_factoring_2026-02-22.pdf   ← skills summary / study guide

Prefix with student name when known: leo_ws_..., leo_ak_..., leo_ss_...

Troubleshooting

| Problem | Fix | |---|---| | tectonic not found | brew install tectonic | | Slow first compile | Downloading packages from CTAN — wait 30–60s, faster after | | LaTeX error on line N | Check paired $...$, matching \begin{}/\end{} | | pgfplots not rendering | Ensure \pgfplotsset{compat=1.18} is in preamble | | PDF not created | Read full tectonic output for the specific error |

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/stellawuellner-math-worksheets-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/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 6d 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/stellawuellner-math-worksheets-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T02:28:33.986Z"
    }
  },
  "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": "use",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:use|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": "Stellawuellner",
    "href": "https://github.com/stellawuellner/math-worksheets-skill",
    "sourceUrl": "https://github.com/stellawuellner/math-worksheets-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/stellawuellner-math-worksheets-skill/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 math-worksheets and adjacent AI workflows.