project

Project-wide rules for how an AI agent should work in a software repository, from reading instructions and planning changes to testing and reporting results.

In plain words
What is it for?
Use it to guide feature implementation, including checking requirements, inspecting existing code, following test conventions, and summarising changes and risks.
Why use it?
It sets consistent expectations for safe, focused feature work and helps prevent unreviewed or out-of-scope changes.

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/zwanan-github/agent-template/project
Clone the repo
git clone --depth 1 https://github.com/Zwanan-github/agent-template

Made for: Cursor.

Per session 149 This file is loaded in full into every session.
When invoked 149 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00149 $0.00149
Opus 5 $0.00075 $0.00075
Sonnet 5 $0.00030 $0.00030
Haiku 4.5 $0.00015 $0.00015

Measured yesterday against content hash 17d5cd18c560, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

project 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 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.

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/project.mdc · 21 lines

What it actually says

Follow AGENTS.md as the source of truth for this repository.

For feature work:

  • Read AGENTS.md before editing.
  • Create or update a feature spec under specs/features/ when required by AGENTS.md.
  • Plan before implementation.
  • Inspect existing code and test style before implementation.
  • Follow the project's current test framework and conventions.
  • Ask if the development/test environment is missing or unclear; propose Docker only when configured or approved.
  • Keep changes scoped.
  • Run relevant tests.
  • Summarize changed files, test results, and remaining risks.

Useful workflow prompts live under agent-workflow/skills/.

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 · 21 lines · 149 tokens per session scan A 17d5cd18c560

Subscribe to this mod's changes

project is a cursor rule published in the GitHub repository Zwanan-github/agent-template (2 stars, last pushed 1mo ago), licensed MIT. It adds 149 tokens to every session, about $0.0007 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.