Xpersona

Crawler Summary

coursely answer-first brief

a project built with crewAI that generates course outlines, lesson plans and quizes Coursely Coursely is a Python project that helps generate course outlines, lesson plans, and quizzes programmatically using large language models. It provides configurable prompts and templates to create structured teaching materials for different audiences and course lengths. - Repository: https://github.com/Astroking2004/coursely - Language: Python - License: MIT Features - Generate course outlines and module break Capability contract not published. No trust telemetry is available yet. Last updated 4/16/2026.

Freshness

Last checked 4/16/2026

Best For

coursely is best for crewai, multi-agent 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 66/100

coursely

a project built with crewAI that generates course outlines, lesson plans and quizes Coursely Coursely is a Python project that helps generate course outlines, lesson plans, and quizzes programmatically using large language models. It provides configurable prompts and templates to create structured teaching materials for different audiences and course lengths. - Repository: https://github.com/Astroking2004/coursely - Language: Python - License: MIT Features - Generate course outlines and module break

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 16, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/16/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 16, 2026

Vendor

Astroking2004

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Unpublished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 4/16/2026.

View Source

Setup snapshot

git clone https://github.com/Astroking2004/coursely.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

Astroking2004

profilemedium
Observed Apr 16, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 16, 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

git clone https://github.com/Astroking2004/coursely.git
cd coursely

bash

python -m venv .venv
# macOS / Linux
source .venv/bin/activate
# Windows (PowerShell)
.venv\Scripts\Activate.ps1

pip install -r requirements.txt

bash

export OPENAI_API_KEY="your_api_key_here"
# On Windows (PowerShell)
# $env:OPENAI_API_KEY="your_api_key_here"

bash

python -m coursely --help

bash

python scripts/generate_course.py \
  --title "Introduction to Algebra" \
  --length 8 \
  --audience "High school students" \
  --output "intro_to_algebra.md"

python

from coursely import generate_course

course = generate_course(
    title="Introduction to Algebra",
    modules=8,
    audience="High school",
    style="concise"
)

print(course)  # or save to file

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

a project built with crewAI that generates course outlines, lesson plans and quizes Coursely Coursely is a Python project that helps generate course outlines, lesson plans, and quizzes programmatically using large language models. It provides configurable prompts and templates to create structured teaching materials for different audiences and course lengths. - Repository: https://github.com/Astroking2004/coursely - Language: Python - License: MIT Features - Generate course outlines and module break

Full README

Coursely

Coursely is a Python project that helps generate course outlines, lesson plans, and quizzes programmatically using large language models. It provides configurable prompts and templates to create structured teaching materials for different audiences and course lengths.

  • Repository: https://github.com/Astroking2004/coursely
  • Language: Python
  • License: MIT

Features

  • Generate course outlines and module breakdowns
  • Produce lesson plans with learning objectives and activities
  • Create assessment questions and quizzes (various formats)
  • Template-driven prompts so outputs can be customized
  • Designed to integrate with LLM APIs (e.g., OpenAI-compatible models)

Quickstart

These instructions are general and should work for typical Python projects. Adjust paths/commands to match the actual entrypoint in this repo (for example main.py, app.py, scripts/generate_course.py, or python -m coursely).

Prerequisites:

  • Python 3.8+
  • pip
  • An API key for the language model provider you want to use (set via environment variable; e.g., OPENAI_API_KEY)
  1. Clone the repo
git clone https://github.com/Astroking2004/coursely.git
cd coursely
  1. Create a virtual environment and install dependencies
python -m venv .venv
# macOS / Linux
source .venv/bin/activate
# Windows (PowerShell)
.venv\Scripts\Activate.ps1

pip install -r requirements.txt
  1. Configure environment variables
export OPENAI_API_KEY="your_api_key_here"
# On Windows (PowerShell)
# $env:OPENAI_API_KEY="your_api_key_here"
  1. Run the generator If the repository exposes a module entrypoint:
python -m coursely --help

Or, if there is a script under scripts/:

python scripts/generate_course.py \
  --title "Introduction to Algebra" \
  --length 8 \
  --audience "High school students" \
  --output "intro_to_algebra.md"

Replace the command above with the actual script or module provided in this repository.

Example usage (library-style)

If this repo exposes Python functions or classes to call programmatically, an example might look like:

from coursely import generate_course

course = generate_course(
    title="Introduction to Algebra",
    modules=8,
    audience="High school",
    style="concise"
)

print(course)  # or save to file

(Adjust imports and function names to match the code in the repository.)

Configuration & Templates

  • Prompts and templates: Look for a templates/ or prompts/ directory to edit the templates used for prompt generation.
  • Models: You may be able to configure the LLM model via environment variables or a config file (e.g., MODEL=gpt-4).
  • Output formats: Common output formats are Markdown, JSON, or plain text — adapt templates to change structure.

Testing

If tests are included, run them with:

pytest

If no test suite exists, consider adding tests for prompt formatting, output structure, and any parsing logic.

Contributing

Contributions are welcome. Typical workflow:

  1. Fork the repo
  2. Create a branch: git checkout -b feat/my-feature
  3. Make changes and add tests
  4. Submit a pull request describing the change

Please follow the repository's code style and include tests for new functionality.

Roadmap / Ideas

  • Add more output templates (syllabus, slide decks, formative assessment banks)
  • Add a web UI for interactive course generation
  • Add CLI flags for advanced control (rubrics, learning outcomes alignment)
  • Add integration tests for model calls (mocked)

Security & Secrets

Do not commit API keys or other secrets to the repository. Use environment variables or a secrets manager.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact / Questions

If you have questions about this repository or want help integrating a particular model/provider, open an issue or contact the repository owner: https://github.com/Astroking2004

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

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/crewai-astroking2004-coursely/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/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
Agent hubMore from this sourceOpenClaw agents
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/crewai-astroking2004-coursely/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T02:15:21.584Z"
    }
  },
  "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": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Astroking2004",
    "category": "vendor",
    "href": "https://github.com/Astroking2004/coursely",
    "sourceUrl": "https://github.com/Astroking2004/coursely",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-16T06:46:52.987Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-16T06:46:52.987Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-astroking2004-coursely/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

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,
    "metadata": {}
  }
]

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