019_Optimizer_Tracking_Tutorial

019_Optimizer_Tracking_Tutorial is a cursor rule for Cursor from AIFlowML/cursor_rules. It costs 7,125 tokens per session, scanned A, original, no licence file.

A DSPy integration for MLflow, a tool for recording and viewing machine-learning experiments. It tracks DSPy optimization processes so their results can be monitored.

In plain words
What is it for?
Use it to log and monitor DSPy optimizer experiments in MLflow.
Why use it?
It helps keep a record of optimization runs and inspect how they progress over time.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it to log and monitor DSPy optimizer experiments in MLflow.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/aiflowml/cursor_rules/019_optimizer_tracking_tutorial
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/AIFlowML/cursor_rules

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 019_Optimizer_Tracking_Tutorial

README.md
[![agentmods](https://agentmods.dev/badge/rules/aiflowml/cursor_rules/019_optimizer_tracking_tutorial/github.svg)](https://agentmods.dev/rules/aiflowml/cursor_rules/019_optimizer_tracking_tutorial)
Your own site
<a href="https://agentmods.dev/rules/aiflowml/cursor_rules/019_optimizer_tracking_tutorial"><img src="https://agentmods.dev/badge/rules/aiflowml/cursor_rules/019_optimizer_tracking_tutorial/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 019_Optimizer_Tracking_Tutorial

Your own site · 80×15
<a href="https://agentmods.dev/rules/aiflowml/cursor_rules/019_optimizer_tracking_tutorial"><img src="https://agentmods.dev/badge/rules/aiflowml/cursor_rules/019_optimizer_tracking_tutorial.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 7,125 This file is loaded in full into every session.
When invoked 7,125 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.07125 $0.07125
Opus 5.5 $0.02850 $0.02850
Sonnet 5.5 $0.01425 $0.01425
Haiku 4.5 $0.00713 $0.00713

Measured 1mo ago against content hash 33d9fc19c35b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

019_Optimizer_Tracking_Tutorial scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

from urllib.parse import urlparse
.cursor/rules/DSPy_3_examples/019_Optimizer_Tracking_Tutorial.mdc · 965 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 965 lines · 7,125 tokens per session scan A 33d9fc19c35b

Subscribe to this mod's changes

019_Optimizer_Tracking_Tutorial is a cursor rule published in the GitHub repository AIFlowML/cursor_rules (24 stars, last pushed 1y ago), with no licence file. It adds 7,125 tokens to every session, about $0.0285 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.