automated-triage
Helps your agent analyze and resolve alerts automatically. It's useful for identifying and fixing issues quickly, saving time.
What it does
This tool helps you organize and automatically investigate Monte Carlo alerts. It allows you to create a process for handling these alerts, either manually or automatically, using specific tools.
When to use it
- ✓When you receive many Monte Carlo alerts and need to organize them.
- ✓When you want to automate how alerts are investigated.
- ✓When you want to understand the available tools for analyzing alerts.
Example of what to ask your AI
“I want to organize recent Monte Carlo alerts and understand what happened.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool uses a set of commands to fetch alerts, assess their severity, and if necessary, run a deeper analysis to find the root cause. You can set up a workflow to do this automatically.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill automated-triageOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/automated-triage/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Bundled upstream support
Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes.
Monte Carlo Automated Triage
This skill helps you design, test, and deploy an automated triage agent for Monte Carlo alerts. Rather than a fixed workflow, it gives you the building blocks — a set of MCP tools, a description of each triage stage, and a working example — so you can build a process that matches how your team actually responds to alerts.
Monte Carlo tool routing (required): Always call Monte Carlo MCP tools through this plugin's bundled server, whose fully-qualified tool names are
mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__<tool>(e.g.mcp__plugin_mc-agent-toolkit_monte-carlo-mcp__get_alerts). Bare tool names used in this skill (get_alerts,search,get_table, …) refer to that bundled server. If the session also has a separately-configuredmonte-carlo-mcpserver, do not route to it — it may point at a different endpoint or credentials.
Read the reference files before proceeding:
- Triage stages and customisation:
references/triage-stages.md(relative to this file) - Working example workflow:
references/triage-example.md(relative to this file)
When to activate this skill
Activate when the user:
- Wants to triage or investigate recent Monte Carlo alerts (interactively or automated)
- Wants to set up automated triage for Monte Carlo alerts
- Asks to run agentic triage or investigate recent alert activity
- Wants to understand what triage tools are available and how to use them
- Is building or refining a triage prompt for their environment
- Wants to move from manual alert review to automated or semi-automated triage
When NOT to activate this skill
Do not activate when the user is:
- Investigating a specific known incident (help them directly)
- Creating or configuring monitors (use the monitoring-advisor skill)
- Running impact analysis before a code change (use the prevent skill)
Available MCP tools
All tools are available via the monte-carlo-mcp MCP server.
| Tool | Toolset | Purpose |
|---|---|---|
get_alerts |
default | Fetch recent alerts for a time window |
alert_assessment |
default | Score an alert by incident likelihood and potential impact (HIGH/MEDIUM/LOW each) |
run_troubleshooting_agent |
default | Run the Monte Carlo Troubleshooting Agent on a single alert; async by default — returns immediately, reuses existing results when available |
get_troubleshooting_agent_results |
default | Poll an async troubleshooting run by incident_id; returns status (not_found/running/success/failed) and results when complete |
update_alert |
default | Update an alert's status and/or declare an incident by setting severity |
set_alert_owner |
default | Assign an owner to an alert by email |
create_or_update_alert_comment |
default | Post or update a triage comment on an alert |
mark_event_as_normal |
default | Mark all anomaly events in an alert as normal, triggering ML threshold recalibration to prevent re-alerting on the same pattern |
How to approach automated triage
Read references/triage-stages.md for a full description of each stage and how to customise it. The high-level flow is:
- Fetch alerts — decide which alerts to triage and over what time window
- Initial investigation — score every alert by incident likelihood and potential impact using
alert_assessment - Deep troubleshooting — run
run_troubleshooting_agenton high-signal alerts to get root cause analysis - Classify — use the troubleshooting output to classify each alert
- Take actions — post comments, update statuses, message Slack, create tickets
…
FAQ
What are 'Monte Carlo alerts'?
These are notifications sent by the Monte Carlo platform when it detects something unusual or potentially problematic in your data.
What does 'triage' mean in this context?
Triage is the process of organizing, prioritizing, and investigating alerts to understand the issue and decide how to act.
Can I automate the entire process?
Yes, the tool is designed to help build automated workflows for handling alerts, but you can start with manual investigations.
Details
Original description by the author
Triage Monte Carlo alerts interactively or build an automated workflow. Fetch, score, and troubleshoot alerts using MCP tools now, or design a reusable workflow that runs on a schedule.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2229
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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