monte-carlo-reinforce-agent SKILL.md skillA
monte-carlo-reinforce-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-reinforce-agent@git:20260728.8481a6aPins git:20260728.8481a6a 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/reinforce-agent/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260728.8481a6a, committed Jul 28, 2026
- First version recorded
- Jul 23, 2026
- Size
- 10,264 bytes
- Repository stars
- 93
- License
- Apache-2.0
Reinforces an AI agent by turning Monte Carlo's reinforcement loop diagnosis into code fixes. Reads the daily reinforcement loop report for an agent's workflows, ranks the diagnosed issues, proposes what to fix, and — with the user's approval at each step — opens a pull request. Activates on "fix my agent", "improve my agent's health", "reinforce my agent", "what should I fix in my agent". Not for investigating a specific agent alert or trace (monte-carlo-troubleshoot-agent-traces), creating…
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 Reinforce Agent Skill This skill turns Monte Carlo's **reinforcement loop diagnosis** into landed code fixes. Monte Carlo runs a daily reinforcement loop pipeline that analyzes an agent's traces and produces, per workflow, a report of diagnosed issues — each with supporting evidence (trace deep-links, verifier checks) and recommended fixes. This skill reads that diagnosis, ranks it, proposes what to fix, and follows through with a pull request — pausing for the user's decision at each fan-out point. > **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_reinforcement_loop_report`). Bare tool names > used in this skill (`get_agent_metadata`, `get_reinforcement_loop_summaries`, > `get_reinforcement_loop_report`) 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. ## 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-reinforce-agent@sha256:df10086d23b47227The line at the top of this page pins the label git:20260728.8481a6a, 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_b67taxu3zurfykhc)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 23, 2026 and Jul 28, 2026, about one every 5 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260728.8481a6a latest | 2026-07-28 | 8481a6a | 10,264 B | A | view · diff |
| git:20260723.b61f355 | 2026-07-23 | b61f355 | 10,011 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 (10264 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_b67taxu3zurfykhc GET https://markdownregistry.com/api/v1/resolve?ref=monte-carlo-data/mc-agent-toolkit/monte-carlo-reinforce-agent GET https://markdownregistry.com/api/v1/blob/df10086d23b472274c6f3f5918fcac4d6305429c0542695a4da7ebd4b9d955e8
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.