Monitor Moodle
ListedTracks Moodle course activity, identifies student engagement patterns, and flags potential issues for instructors.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add pekka1398/browser --skill monitor-moodle -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
pekka1398
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: moodle.ncku.edu.tw.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
moodle.ncku.edu.twundeclaredWhat it found
- src/fetch_full_course_data.py:14contacts moodle.ncku.edu.tw
BASE_URL = "https://moodle.ncku.edu.tw" - src/fetch_my_courses.py:11contacts moodle.ncku.edu.tw
BASE_URL = "https://moodle.ncku.edu.tw" - src/fetch_notifications.py:13contacts moodle.ncku.edu.tw
BASE_URL = "https://moodle.ncku.edu.tw"
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned pekka1398/browser at a3659a5e2d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- a3659a5e2d
- Manifest
- SKILL.md
- Scanned
- 14 files, 1,334 lines
About this skill
What it does
The monitor-moodle skill allows an AI agent to observe and report on activity within a Moodle learning management system. It can track user logins, course enrollments, and assignment submissions. This provides valuable insights into platform usage and potential issues.
When to use it
- Proactive Issue Detection: Monitor for unusual login patterns that might indicate compromised accounts.
- Course Enrollment Tracking: Get notified when new users are enrolled in a specific course.
- Assignment Submission Monitoring: Track assignment submission rates to identify students who may be struggling or falling behind.
- System Health Checks: Receive alerts regarding Moodle server performance and potential downtime.
Key capabilities
- Moodle login monitoring
- Course enrollment tracking
- Assignment submission tracking
- Alerting on unusual activity
Example prompts
- "Monitor Moodle for new user enrollments in the 'Introduction to Python' course."
- "Report any unusual login attempts to the Moodle system."
- “Tell me how many students have submitted assignment 3.”
Tips & gotchas
Requires access credentials and URL of the target Moodle instance. Ensure these are securely provided to the AI agent.