Monitor Tasks
CheckedTracks task progress, identifies bottlenecks, and proactively alerts users to potential delays in openant-ai workflows.
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 openant-ai/openant-skills --skill monitor-tasks -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
openant-ai
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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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 undeclared network calls: passed
Makes no network calls.
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.
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 openant-ai/openant-skills at 80ae9a7f23.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 80ae9a7f23
- Manifest
- skills/monitor-tasks/SKILL.md
- Scanned
- 1 file, 128 lines
About this skill
What it does
This skill allows an AI agent to monitor and report on the status of tasks. It can track task progress, identify potential roadblocks, and provide updates based on predefined criteria. The agent can also be configured to alert users when specific events occur related to these monitored tasks.
When to use it
- Project Management: Track the progress of individual project tasks and receive alerts if deadlines are approaching or risks are detected.
- Workflow Automation: Monitor automated workflows to ensure they're running smoothly and identify any failures requiring intervention.
- System Health Checks: Keep an eye on critical system processes and get notified about errors or performance degradation.
- Personal Task Management: Track personal tasks, set reminders, and receive updates on their completion status.
Key capabilities
- Task Status Tracking
- Alerting based on predefined criteria
- Progress Reporting
- Roadblock Identification
Example prompts
- "Monitor the 'website deployment' task and alert me if it takes longer than 30 minutes."
- "Give me a daily report on the status of all tasks in the 'marketing campaign'."
- “What is the current status of the ‘database migration’ task?”
Tips & gotchas
The skill requires access to task management systems or data sources. Ensure the AI agent has appropriate permissions and connectivity to these resources for accurate monitoring.