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.
git clone --depth 1 https://github.com/rohitg00/pro-workflowWrote 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.
[](https://agentmods.dev/rules/rohitg00/pro-workflow/token-efficiency)<a href="https://agentmods.dev/rules/rohitg00/pro-workflow/token-efficiency"><img src="https://agentmods.dev/badge/rules/rohitg00/pro-workflow/token-efficiency/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.
<a href="https://agentmods.dev/rules/rohitg00/pro-workflow/token-efficiency"><img src="https://agentmods.dev/badge/rules/rohitg00/pro-workflow/token-efficiency.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00353 | $0.00353 |
| Opus 5.5 | $0.00141 | $0.00141 |
| Sonnet 5.5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00035 | $0.00035 |
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 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.
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. 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.
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.
- 1mo ago First seen · 31 lines · 353 tokens per session scan B f440dede7f55
token-efficiency is a cursor rule published in the GitHub repository rohitg00/pro-workflow (2,917 stars, last pushed 17d ago), with no licence file. It adds 353 tokens to every session, about $0.0014 per session on Opus 5.5. 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.
Other cursor rules, from other repositories
shell-environment
Shell environment — zsh on macOS, PowerShell on Windows.
task-scope
Hard limits on how many plan tasks to implement per message. Always read before editing code for a task list.
documentation
Where each kind of documentation lives and when to update it.
code-documentation
Documentation standards for code comments and docstrings.
workflow-mode
Workflow modes (careful, pair, afk) that change how the agent works in this chat. Keeps the active mode across long chats and summaries.
dependency-safety
Never install packages without approval. Research before proposing.