003_Entity_Extraction_Tutorial

003_Entity_Extraction_Tutorial is a cursor rule for Cursor from AIFlowML/cursor_rules. It costs 26 tokens per session (6,418 once invoked), scanned A, original, no licence file.

DSPY 3 Entity Extraction Tutorial - Production NER system from official DSPy 3.0.1 tutorial with structured outputs.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/aiflowml/cursor_rules/003_entity_extraction_tutorial
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 003_Entity_Extraction_Tutorial

README.md
[![agentmods](https://agentmods.dev/badge/rules/aiflowml/cursor_rules/003_entity_extraction_tutorial.svg)](https://agentmods.dev/rules/aiflowml/cursor_rules/003_entity_extraction_tutorial)
Your own site
<a href="https://agentmods.dev/rules/aiflowml/cursor_rules/003_entity_extraction_tutorial"><img src="https://agentmods.dev/badge/rules/aiflowml/cursor_rules/003_entity_extraction_tutorial.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,418 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00026 $0.06418
Opus 5 $0.00013 $0.03209
Sonnet 5 $0.00005 $0.01284
Haiku 4.5 $0.00003 $0.00642

Measured today against content hash 3f169ad9fd5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

003_Entity_Extraction_Tutorial scanned grade A with 0 findings 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 today.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/DSPy_3_examples/003_Entity_Extraction_Tutorial.mdc · 818 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. today First seen · 818 lines · 26 tokens per session scan A 3f169ad9fd5d

Subscribe to this mod's changes

003_Entity_Extraction_Tutorial is a cursor rule published in the GitHub repository AIFlowML/cursor_rules (25 stars, last pushed 1y ago), with no licence file. It adds 26 tokens to every session and 6,418 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.