AGNO_Chunking_Strategies

AGNO_Chunking_Strategies is a cursor rule for Cursor from Datai-Network/datai-mcp-server. It costs 13 tokens per session (2,149 once invoked), scanned A, original, no licence file.

A set of AGNO framework rules about splitting documents into smaller pieces. This process, called chunking, affects how a knowledge system stores and retrieves information.

In plain words
What is it for?
Use it when working on document chunking in an AGNO-based project.
Why use it?
It provides guidance for a document-chunking area that the description identifies as important to knowledge management, but gives no further details.

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/datai-network/datai-mcp-server/agno_chunking_strategies
Clone the repo
git clone --depth 1 https://github.com/Datai-Network/datai-mcp-server

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 AGNO_Chunking_Strategies

README.md
[![agentmods](https://agentmods.dev/badge/rules/datai-network/datai-mcp-server/agno_chunking_strategies.svg)](https://agentmods.dev/rules/datai-network/datai-mcp-server/agno_chunking_strategies)
Your own site
<a href="https://agentmods.dev/rules/datai-network/datai-mcp-server/agno_chunking_strategies"><img src="https://agentmods.dev/badge/rules/datai-network/datai-mcp-server/agno_chunking_strategies.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,149 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 5.1 $0.00013 $0.02149
Opus 5 $0.00006 $0.01074
Sonnet 5 $0.00003 $0.00430
Haiku 4.5 $0.00001 $0.00215

Measured 5d ago against content hash f63cc2cf84a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

AGNO_Chunking_Strategies 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 5d 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.

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/AGNO/AGNO_Chunking_Strategies.mdc · 363 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. 5d ago First seen · 363 lines · 13 tokens per session scan A f63cc2cf84a7

Subscribe to this mod's changes

AGNO_Chunking_Strategies is a cursor rule published in the GitHub repository Datai-Network/datai-mcp-server (3 stars, last pushed 1y ago), with no licence file. It adds 13 tokens to every session and 2,149 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 2026-08-31.

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