Monte Carlo Context Detection
Routes ambiguous Monte Carlo data-quality requests to the right sub-skill instead of guessing.
Test report
- Verdict
- Works with setup
- Score
- Tested
- Jul 13, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · e05c605
The routing logic itself works well and correctly declines to fire on clear-cut requests like 'check health of orders table', but it's only useful bundled with 5 sibling skills it hands off to via relative paths -- copying just this one SKILL.md, as a normal single-skill install would, leaves it routing to files that don't exist.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 7/10
- Docs & honesty 4/5
What Monte Carlo Context Detection does
A meta-routing skill for the Monte Carlo data observability plugin: categorizes vague requests (alerts, coverage gaps, incidents, stale data) by signal, forces 1-3 clarifying questions before any API probe on turn one, then hands off to asset-health, incident-response, proactive-monitoring, monitoring-advisor, or instrument-agent. Explicitly stands down when a request already clearly names a single skill, table, or workflow.
How to install Monte Carlo Context Detection
git clone https://github.com/monte-carlo-data/mc-agent-toolkit
cd mc-agent-toolkit
mkdir -p ~/.claude/skills
cp -r skills/context-detection ~/.claude/skills/monte-carlo-context-detection
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Monte Carlo Context Detection
-
/monte-carlo-context-detectionRoutes ambiguous Monte Carlo data-quality requests to the right sub-skill instead of guessing.
It also activates on plain-language prompts like these:
-
Why did I get a data quality alert on this table this morning -
There's a coverage gap in monitoring, help me figure out where to look -
Something seems stale in our data pipeline, can you investigate
Frequently asked questions
- Is the Monte Carlo Context Detection skill free?
- Yes. The skill itself is free from monte-carlo-data/mc-agent-toolkit. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Monte Carlo Context Detection work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 13, 2026. Verdict: Works with setup. The routing logic itself works well and correctly declines to fire on clear-cut requests like 'check health of orders table', but it's only useful bundled with 5 sibling skills it hands off to via relative paths -- copying just this one SKILL.md, as a normal single-skill install would, leaves it routing to files that don't exist.
- What is the Monte Carlo Context Detection SkillProof Score?
- 8.4/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 4/5.
- How do I install Monte Carlo Context Detection?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Monte Carlo Context Detection with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.