monte-carlo-remediation SKILL.md skillA

monte-carlo-remediation from monte-carlo-data/mc-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add monte-carlo-data/mc-agent-toolkit/monte-carlo-remediation@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
monte-carlo-data/mc-agent-toolkit
Path
skills/remediation/SKILL.md
Versions recorded
6
Latest version
v1.0.0, committed Nov 4, 2026
First version recorded
Apr 16, 2026
Size
15,399 bytes
Repository stars
93
License
Apache-2.0

Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Monte Carlo Remediation Skill

This skill teaches you to investigate and remediate data quality issues detected by Monte Carlo. You use MC MCP tools to understand the alert context, run root cause analysis, assess blast radius, and then execute the appropriate remediation action using whatever external tools the user has connected.

> **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-configured `monte-carlo-mcp` server, do **not** route to it — it may point at a
> different endpoint or credentials.

Reference files live next to this skill file. **Use the Read tool** (not MCP resources) to access them:

- Common remediation patterns and examples: `references/patterns.md` (relative to this file)
- How to discover available tools at runtime: `references/tool-discovery.md` (relative to this file)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add monte-carlo-data/mc-agent-toolkit/monte-carlo-remediation@sha256:056086b9fae2f121

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yfo5cg7i74m5pzfz.svg)](https://markdownregistry.com/a/art_yfo5cg7i74m5pzfz)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Apr 16, 2026 and Nov 4, 2026, about one every 40 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-11-04 1e474dd 15,399 BA view · diff
v1.0.02026-06-19 6ade6f3 15,320 BA view · diff
v1.0.02026-06-02 fcf2371 14,771 BA view · diff
v1.0.02026-05-22 b523c5e 14,767 BA view · diff
v1.0.02026-04-28 4eb6e59 14,747 BA view · diff
v1.0.02026-04-16 11b047b 14,721 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15399 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

monte-carlo-data/mc-agent-toolkit · 93 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yfo5cg7i74m5pzfz
GET https://markdownregistry.com/api/v1/resolve?ref=monte-carlo-data/mc-agent-toolkit/monte-carlo-remediation
GET https://markdownregistry.com/api/v1/blob/056086b9fae2f121508709f4fd423b3a2dba95e6cb8e6f463966867823fd9674

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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