logging-guidelines

logging-guidelines is a cursor rule for Cursor from nosenfield/ai-project-template. It costs 586 tokens per session, scanned A, original, no licence file.

Rules for writing structured logs: records of program activity stored in a consistent format. The input does not provide the specific logging standards.

In plain words
What is it for?
Following the project’s structured-logging standards when adding or reviewing application logs.
Why use it?
They help keep logs consistent, but the available description does not say which fields or formats are required.

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/nosenfield/ai-project-template/logging-guidelines
Clone the repo
git clone --depth 1 https://github.com/nosenfield/ai-project-template

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 logging-guidelines

README.md
[![agentmods](https://agentmods.dev/badge/rules/nosenfield/ai-project-template/logging-guidelines.svg)](https://agentmods.dev/rules/nosenfield/ai-project-template/logging-guidelines)
Your own site
<a href="https://agentmods.dev/rules/nosenfield/ai-project-template/logging-guidelines"><img src="https://agentmods.dev/badge/rules/nosenfield/ai-project-template/logging-guidelines.svg" alt="Measured on agentmods" height="20"></a>
Per session 586 This file is loaded in full into every session.
When invoked 586 The same file — it is already loaded in full.
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 $0.00586 $0.00586
Opus 5 $0.00293 $0.00293
Sonnet 5 $0.00117 $0.00117
Haiku 4.5 $0.00059 $0.00059

Measured 3d ago against content hash b35a8b837ed3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

logging-guidelines 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 3d 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/logging-guidelines.mdc · 84 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. 3d ago First seen · 84 lines · 586 tokens per session scan A b35a8b837ed3

Subscribe to this mod's changes

logging-guidelines is a cursor rule published in the GitHub repository nosenfield/ai-project-template (6 stars, last pushed 8mo ago), with no licence file. It adds 586 tokens to every session, about $0.0029 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.