008_AGNO_Custom_Function_Executors

Guidance for using custom functions as workflow executors in AGNO. A custom function is developer-written code that performs a specific task.

In plain words
What is it for?
Use it when a workflow needs custom processing or execution logic beyond its built-in patterns.
Why use it?
It helps developers add application-specific logic and data processing to multi-step workflows.

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/008_agno_custom_function_executors
Clone the repo
git clone --depth 1 https://github.com/AIFlowML/cursor_rules

Made for: Cursor.

Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,802 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00019 $0.06802
Opus 5 $0.00010 $0.03401
Sonnet 5 $0.00004 $0.01360
Haiku 4.5 $0.00002 $0.00680

Measured 2d ago against content hash a57bd61c842e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

008_AGNO_Custom_Function_Executors 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 2d 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.

response = requests.get(endpoint, params=params, timeout=30)
.cursor/rules/AGNO/workflow_2/008_AGNO_Custom_Function_Executors.mdc · 959 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. 2d ago First seen · 959 lines · 19 tokens per session scan A a57bd61c842e

Subscribe to this mod's changes

008_AGNO_Custom_Function_Executors is a cursor rule published in the GitHub repository AIFlowML/cursor_rules (25 stars, last pushed 1y ago), with no licence file. It adds 19 tokens to every session and 6,802 once invoked, about $0.0001 per session on Opus 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 2026-08-30.