Borrowing it
Nothing to install: this file belongs to docxology/template. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/docxology/template/main/.cursorrulesgit clone --depth 1 https://github.com/docxology/templateWrote 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/docxology/template/cursorrules)<a href="https://agentmods.dev/rules/docxology/template/cursorrules"><img src="https://agentmods.dev/badge/rules/docxology/template/cursorrules/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/docxology/template/cursorrules"><img src="https://agentmods.dev/badge/rules/docxology/template/cursorrules.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 | $0.00098 | $0.00098 |
| Opus 5.5 | $0.00039 | $0.00039 |
| Sonnet 5.5 | $0.00020 | $0.00020 |
| Haiku 4.5 | $0.00010 | $0.00010 |
Grade A, and why
cursorrules 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 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.
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.
What it actually says
Deprecated Cursor entry point
Generic agent instructions now live in .agents/AGENTS.md. Read AGENTS.md for the repository contract and START_HERE.md for executable onboarding.
Use .agents/skill_manifest.json, .agents/operations_manifest.json,
and .agents/state/ for shared discovery and local memory. This file remains
a compatibility pointer for existing Cursor workspaces.
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.
- 2d ago Changed · -55 lines · -1,067 tokens per session 7692cde1e844
- 1mo ago Changed · +6 tokens per session e72218ffdc7e
- 1mo ago First seen · 65 lines · 1,159 tokens per session scan A cd1160810b3e
cursorrules is a cursor rule published in the GitHub repository docxology/template (20 stars, last pushed today), licensed Apache-2.0. It adds 98 tokens to every session, about $0.0004 per session on Opus 5.5. 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 2026-08-30.
Other cursor rules, from other repositories
project
Core project context for ai-context-kit.
project
Project conventions - canonical source is AGENTS.md.
core
The engineering contract for this repo lives in AGENTS.md (auto-loaded). Follow it. This rule only adds Cursor-specific behavior so the contract is not duplicated token-for-token on every request.
debugging
Debugging discipline. Apply when investigating a bug, test failure, or unexpected behavior.
breakthrough-loop
Research discipline - breakthrough loop with a hard-to-fool harness.
orchestrator-main
Rules for the main orchestrator agent in multi-agent workflows.