edstem（edstem 搜索）

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 account:

1. Log into EdStem in your browser
2. Open Developer Tools → Network tab
3. Reload any EdStem page
4. Find an API request and copy the Authorization: Bearer ... token
5. Update ED_TOKEN in scripts/fetch-edstem.py

Current token location: Line 20 in scripts/fetch-edstem.py

If API calls fail (401 Unauthorized), your token likely expired and needs refresh.

Scripts

fetch-edstem.py (recommended)

Full-featured Python script with markdown formatting and staff/student differentiation.

Usage:

python3 scripts/fetch-edstem.py <course_id> [output_dir] [options]

Options:

• output_dir - Where to save threads (default: ./edstem-<course_id>)
• --course-name NAME - Display name for the course
• --limit N - Number of threads to fetch (default: 10)

Features:

• Fetches thread metadata and full details
• Full markdown formatting with answers and comments
• Automatic staff role detection
• JSON cache of thread list
• Auto-creates output directory

fetch-edstem.sh (lightweight alternative)

Bash/curl version for raw JSON fetching without dependencies.

Usage:

bash scripts/fetch-edstem.sh <course_id> [output_dir]

Outputs:

• Raw JSON files for each thread
• Requires manual formatting or post-processing

Common Workflows

Check for new posts

python3 scripts/fetch-edstem.py 92041 ~/courses/ml-spring-2025

Sync multiple courses

# Create a simple sync script
for course in "92041:machine-learning" "94832:advanced-rl"; do
    IFS=':' read -r id name <<< "$course"
    python3 scripts/fetch-edstem.py $id ~/courses/$name --course-name "$name"
done

Review recent activity

After fetching, check the markdown files:

ls -lt ./edstem-92041/*.md | head
cat ./edstem-92041/thread-001.md

Search across threads

grep -r "gradient descent" ./edstem-92041/*.md

Output Structure

<output_dir>/
├── threads.json              # Thread metadata
├── thread-001.md             # Individual threads
├── thread-002.md
└── ...

Each markdown file contains:

• Thread metadata (number, title, category, timestamps)
• Original post with author role
• All answers (sorted, with role tags)
• All comments (with role tags)

Integration Examples

With LLM agents

# Fetch threads and analyze with your agent
python3 fetch-edstem.py 92041 ./course-data
# Then: "Summarize the most common questions in ./course-data/"

Automated monitoring

# Add to cron for daily sync
0 9 * * * cd /path/to/skills/edstem/scripts && python3 fetch-edstem.py 92041 ~/courses/ml

Custom organization

# Organize by semester and institution
python3 fetch-edstem.py 92041 ~/school/stanford/2025-spring/cs229
python3 fetch-edstem.py 94832 ~/school/mit/2025-spring/6.7920

Troubleshooting

401 Unauthorized: Token expired. Re-authenticate and update ED_TOKEN in the script.

Course not found: Verify the course ID and that your account has access.

Empty threads: Check that the course has discussion posts and you're enrolled.

Rate limiting: EdStem may rate-limit API requests. Add delays between fetches if needed.

Contributing

This skill is open-source and institution-agnostic by design. Improvements welcome:

• Better content parsing (EdStem uses XML-based document format)
• Support for filtering by category or date range
• Incremental sync (only fetch new threads)
• Export to other formats (JSON, HTML, etc.)

Version History

• 1.1.0 - Made institution-agnostic with flexible parameters
• 1.0.0 - Initial release