monte-carlo-instrument-agent SKILL.md skillA
monte-carlo-instrument-agent 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-instrument-agent@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/instrument-agent/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Jul 19, 2026
- First version recorded
- May 13, 2026
- Size
- 11,856 bytes
- Repository stars
- 93
- License
- Apache-2.0
Instrument a new AI agent in a Python codebase for Monte Carlo Agent Observability. Detects AI libraries, installs the Monte Carlo OpenTelemetry SDK, and proposes tracing setup and decorator placements as diffs. Asks before editing any file.
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 Instrument-Agent Skill This skill walks an MC Agent Observability customer through instrumenting a new AI agent in their Python codebase: detect AI libraries → install the Monte Carlo OpenTelemetry SDK + matching instrumentors → generate `mc.setup()` (with `SimpleSpanProcessor` when serverless) → propose `@trace_with_workflow` / `@trace_with_task` decorator diffs → confirm env vars (only when needed) → verify traces flow via `get_agent_metadata`. The skill produces traces. It is **not** for monitoring or alerting on existing traces — that's `monte-carlo-monitoring-advisor`. The two skills are sequential: instrument-agent first, monitoring-advisor afterward. > **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 …
Read the whole file at its exact version.
How to install
mdr add monte-carlo-data/mc-agent-toolkit/monte-carlo-instrument-agent@sha256:6ed1c7b5194f76faThe 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_wmq7rkdo5vkp7275)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 13, 2026 and Jul 19, 2026, about one every 33 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-07-19 | 0b4edc3 | 11,856 B | A | view · diff |
| v1.0.0 | 2026-06-19 | 6ade6f3 | 11,863 B | A | view · diff |
| v1.0.0 | 2026-05-13 | 737a656 | 11,314 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 (11856 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_wmq7rkdo5vkp7275 GET https://markdownregistry.com/api/v1/resolve?ref=monte-carlo-data/mc-agent-toolkit/monte-carlo-instrument-agent GET https://markdownregistry.com/api/v1/blob/6ed1c7b5194f76fa0dd88f2549100ea6e99c0f9805ce8d5f76f0d5492337d81b
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.