token-efficiency

Rules for reducing unnecessary AI output and work, including reading existing content before changing it.

In plain words
What is it for?
They help control output length, avoid overwriting unread files, and prevent unnecessary iteration cycles.
Why use it?
They reduce wasted context and repeated attempts that make agent-driven coding slower and less reliable.

Cursor rule

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/rohitg00/pro-workflow/token-efficiency
Clone the repo
git clone --depth 1 https://github.com/rohitg00/pro-workflow
Per session 353 This file is loaded in full into every session.
When invoked 353 The same file — it is already loaded in full.
Security scan B 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 $0.00353 $0.00353
Opus 5 $0.00177 $0.00177
Sonnet 5 $0.00071 $0.00071
Haiku 4.5 $0.00035 $0.00035

Measured yesterday against content hash f440dede7f55, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

token-efficiency scanned grade B 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 yesterday.

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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

No "As an AI" framing: never include disclaimers about being an AI model.
rules/token-efficiency.mdc · 31 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. yesterday First seen · 31 lines · 353 tokens per session scan B f440dede7f55

Subscribe to this mod's changes

token-efficiency is a cursor rule published in the GitHub repository rohitg00/pro-workflow (2,794 stars, last pushed 14d ago), with no licence file. It adds 353 tokens to every session, about $0.0018 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.