monte-carlo-performance-diagnosis SKILL.md skillA
monte-carlo-performance-diagnosis 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.
mdr add monte-carlo-data/mc-agent-toolkit/monte-carlo-performance-diagnosis@v1.0.0Pins 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/performance-diagnosis/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Sep 8, 2026
- First version recorded
- Apr 16, 2026
- Size
- 7,531 bytes
- Repository stars
- 93
- License
- Apache-2.0
Diagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach: discover problems, bridge to affected tables, then drill into root causes. Activates when a user asks about slow pipelines, expensive queries, or performance regressions.
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 Performance Diagnosis Skill This skill helps diagnose data pipeline performance issues using Monte Carlo's cross-platform observability data. It works across Airflow, dbt, Databricks, and warehouse query engines to find bottlenecks, detect regressions, and identify root causes. > **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: - Tiered investigation approach: `references/investigation-tiers.md` (relative to this file) - Query analysis patterns: `references/query-analysis.md` (relative to this file) ## When to activate this skill Activate when the user: …
Read the whole file at its exact version.
How to install
mdr add monte-carlo-data/mc-agent-toolkit/monte-carlo-performance-diagnosis@sha256:8f1417047406c37cThe 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.
[](https://markdownregistry.com/a/art_7gcifuge2ttn4hig)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Apr 16, 2026 and Sep 8, 2026, about one every 36 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-08 | 8852e33 | 7,531 B | A | view · diff |
| v1.0.0 | 2026-06-19 | 6ade6f3 | 7,453 B | A | view · diff |
| v1.0.0 | 2026-05-05 | 5f940bc | 6,904 B | A | view · diff |
| v1.0.0 | 2026-04-28 | 4eb6e59 | 6,735 B | A | view · diff |
| v1.0.0 | 2026-04-16 | 11b047b | 6,718 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7531 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
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_7gcifuge2ttn4hig GET https://markdownregistry.com/api/v1/resolve?ref=monte-carlo-data/mc-agent-toolkit/monte-carlo-performance-diagnosis GET https://markdownregistry.com/api/v1/blob/8f1417047406c37ccb7cb6a73ed69196a06f61e87f678ed8ee1fcfdb9ee3d474
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.