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OpenClaw

edstem

Fetch, sync, and organize EdStem discussion threads for any course or institution. Use when checking for new EdStem posts, syncing course discussion forums, reviewing student/staff questions and answers, or when the user asks to check EdStem, review course discussions, or stay updated on class forums.

axel5o50 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install axel5o5/edstem

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

EdStem

Fetch and organize EdStem discussion threads from any course or institution with automatic staff/student differentiation.

Quick Start

Fetch recent threads for any course:

cd /home/axel/.openclaw/workspace/skills/edstem/scripts
python3 fetch-edstem.py <course_id> [output_dir] [--course-name "Course Name"]

Examples:

# Fetch to default directory (./edstem-<course_id>)
python3 fetch-edstem.py 92041

# Fetch to specific directory
python3 fetch-edstem.py 92041 ./machine-learning

# Specify course name for clearer output
python3 fetch-edstem.py 92041 --course-name "Machine Learning"

# Combine directory and course name
python3 fetch-edstem.py 92041 ./ml-course --course-name "Machine Learning"

# Fetch more threads (default is 10)
python3 fetch-edstem.py 92041 --limit 25

Finding Your Course ID

To find your EdStem course ID:

  1. Log into EdStem and navigate to your course
  2. Look at the URL: https://edstem.org/us/courses/<course_id>/
  3. The number in the URL is your course ID

Alternatively, use the API to list your courses:

curl -H "Authorization: Bearer YOUR_TOKEN" https://us.edstem.org/api/user | jq '.courses[] | {id: .course.id, name: .course.name}'

What Gets Fetched

For each course:

  • threads.json - Full thread list with metadata
  • thread-XXX.md - Individual threads formatted as markdown
    • Thread title, category, timestamps
    • Original post content
    • All answers and comments
    • [STAFF] or [STUDENT] tags on every post

Features

  • Institution-agnostic: Works with any school using EdStem
  • Staff differentiation: Clearly marks instructor/TA posts vs student posts
  • Structured output: Markdown format for easy reading and searching
  • API-based: Uses EdStem's official API (no scraping)
  • Flexible output: Choose your own output directory and organization scheme

Authentication

The skill uses a bearer token stored in the Python script. To use with your own accou...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/axel5o5/edstem
Version
—
Commit
8555bb7f141d8126017592d8ab1ad4b5262b30b8
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

EdStem Integration Skill

Fetch, sync, and organize EdStem discussion threads from any course or institution with automatic staff/student differentiation.

Overview

This skill provides tools to programmatically access EdStem discussion forums, making it easy to:

  • Monitor course discussions
  • Review student questions and instructor answers
  • Archive forum content
  • Analyze discussion patterns
  • Integrate EdStem with LLM agents and automation workflows

Institution-agnostic: Works with any school using EdStem (not limited to any specific institution).

Features

  • ✅ Staff differentiation: Clearly marks instructor/TA posts vs student posts
  • ✅ Structured output: Markdown format for easy reading and searching
  • ✅ API-based: Uses EdStem's official API (no scraping)
  • ✅ Flexible output: Choose your own output directory and organization scheme
  • ✅ Course auto-detection: Automatically fetches course name from API
  • ✅ Lightweight alternative: Bash script available for environments without Python

Quick Start

# Clone or install the skill
cd ~/.openclaw/workspace/skills/edstem

# Fetch threads from any course
python3 scripts/fetch-edstem.py <course_id>

# Example with custom directory
python3 scripts/fetch-edstem.py 92041 ./my-course

Installation

  1. Install in your OpenClaw workspace:

    cd ~/.openclaw/workspace/skills
    git clone <repo-url> edstem
    
  2. Configure authentication:

    • Log into EdStem in your browser
    • Open Developer Tools → Network tab
    • Copy the Authorization: Bearer ... token from any API request
    • Update ED_TOKEN in scripts/fetch-edstem.py (line 20)
  3. Test it:

    cd edstem/scripts
    python3 fetch-edstem.py --help
    

Usage Examples

Basic fetch
python3 fetch-edstem.py 92041
Specify output directory
python3 fetch-edstem.py 92041 ~/courses/machine-learning
Add course name for clarity
python3 fetch-...

Contenu extrait

SKILL.md
# EdStem

Fetch and organize EdStem discussion threads from any course or institution with automatic staff/student differentiation.

## Quick Start

Fetch recent threads for any course:

```bash
cd /home/axel/.openclaw/workspace/skills/edstem/scripts
python3 fetch-edstem.py <course_id> [output_dir] [--course-name "Course Name"]
```

**Examples:**
```bash
# Fetch to default directory (./edstem-<course_id>)
python3 fetch-edstem.py 92041

# Fetch to specific directory
python3 fetch-edstem.py 92041 ./machine-learning

# Specify course name for clearer output
python3 fetch-edstem.py 92041 --course-name "Machine Learning"

# Combine directory and course name
python3 fetch-edstem.py 92041 ./ml-course --course-name "Machine Learning"

# Fetch more threads (default is 10)
python3 fetch-edstem.py 92041 --limit 25
```

## Finding Your Course ID

To find your EdStem course ID:

1. Log into EdStem and navigate to your course
2. Look at the URL: `https://edstem.org/us/courses/<course_id>/`
3. The number in the URL is your course ID

Alternatively, use the API to list your courses:
```bash
curl -H "Authorization: Bearer YOUR_TOKEN" https://us.edstem.org/api/user | jq '.courses[] | {id: .course.id, name: .course.name}'
```

## What Gets Fetched

For each course:
- **threads.json** - Full thread list with metadata
- **thread-XXX.md** - Individual threads formatted as markdown
  - Thread title, category, timestamps
  - Original post content
  - All answers and comments
  - **[STAFF]** or **[STUDENT]** tags on every post

## Features

- **Institution-agnostic**: Works with any school using EdStem
- **Staff differentiation**: Clearly marks instructor/TA posts vs student posts
- **Structured output**: Markdown format for easy reading and searching
- **API-based**: Uses EdStem's official API (no scraping)
- **Flexible output**: Choose your own output directory and organization scheme

## Authentication

The skill uses a bearer token stored in the Python script. To use with your own accou...
README
# EdStem Integration Skill

Fetch, sync, and organize EdStem discussion threads from any course or institution with automatic staff/student differentiation.

## Overview

This skill provides tools to programmatically access EdStem discussion forums, making it easy to:
- Monitor course discussions
- Review student questions and instructor answers
- Archive forum content
- Analyze discussion patterns
- Integrate EdStem with LLM agents and automation workflows

**Institution-agnostic:** Works with any school using EdStem (not limited to any specific institution).

## Features

- ✅ **Staff differentiation**: Clearly marks instructor/TA posts vs student posts
- ✅ **Structured output**: Markdown format for easy reading and searching
- ✅ **API-based**: Uses EdStem's official API (no scraping)
- ✅ **Flexible output**: Choose your own output directory and organization scheme
- ✅ **Course auto-detection**: Automatically fetches course name from API
- ✅ **Lightweight alternative**: Bash script available for environments without Python

## Quick Start

```bash
# Clone or install the skill
cd ~/.openclaw/workspace/skills/edstem

# Fetch threads from any course
python3 scripts/fetch-edstem.py <course_id>

# Example with custom directory
python3 scripts/fetch-edstem.py 92041 ./my-course
```

## Installation

1. Install in your OpenClaw workspace:
   ```bash
   cd ~/.openclaw/workspace/skills
   git clone <repo-url> edstem
   ```

2. Configure authentication:
   - Log into EdStem in your browser
   - Open Developer Tools → Network tab
   - Copy the `Authorization: Bearer ...` token from any API request
   - Update `ED_TOKEN` in `scripts/fetch-edstem.py` (line 20)

3. Test it:
   ```bash
   cd edstem/scripts
   python3 fetch-edstem.py --help
   ```

## Usage Examples

### Basic fetch
```bash
python3 fetch-edstem.py 92041
```

### Specify output directory
```bash
python3 fetch-edstem.py 92041 ~/courses/machine-learning
```

### Add course name for clarity
```bash
python3 fetch-...

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