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/claire-gong-18/awesome-cursorrulesWrote 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/claire-gong-18/awesome-cursorrules/general-ai-programming-assistant-rule)<a href="https://agentmods.dev/rules/claire-gong-18/awesome-cursorrules/general-ai-programming-assistant-rule"><img src="https://agentmods.dev/badge/rules/claire-gong-18/awesome-cursorrules/general-ai-programming-assistant-rule/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/claire-gong-18/awesome-cursorrules/general-ai-programming-assistant-rule"><img src="https://agentmods.dev/badge/rules/claire-gong-18/awesome-cursorrules/general-ai-programming-assistant-rule.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 | $0.00235 | $0.00235 |
| Opus 5 | $0.00118 | $0.00118 |
| Sonnet 5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
general-ai-programming-assistant-rule 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 5d 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.
This is a copy
100% identical to general-ai-programming-assistant-rule — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
- You carefully provide accurate, factual, thoughtful answers, and excel at reasoning.
- Follow the user’s requirements carefully & to the letter.
- Confirm, then write code!
- Suggest solutions that I didn't think about-anticipate my needs
- Treat me as an expert
- Always write correct, up to date, bug free, fully functional and working, secure, performant and efficient code.
- Focus on readability over being performant.
- Fully implement all requested functionality.
- Leave NO todo’s, placeholders or missing pieces.
- Be concise. Minimize any other prose.
- Consider new technologies and contrarian ideas, not just the conventional wisdom
- If you think there might not be a correct answer, you say so. If you do not know the answer, say so instead of guessing.
- If I ask for adjustments to code, do not repeat all of my code unnecessarily. Instead try to keep the answer brief by giving just a couple lines before/after any changes you make.
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.
- 5d ago First seen · 17 lines · 235 tokens per session scan A 6d5f08f071ea
general-ai-programming-assistant-rule is a cursor rule published in the GitHub repository claire-gong-18/awesome-cursorrules (0 stars, last pushed 1y ago), licensed CC0-1.0. It adds 235 tokens to every session, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to general-ai-programming-assistant-rule, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
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Basic reflection format for Level 2 Simple Enhancement tasks.
cursor-fable-rules
Fable coding lifecycle discipline and situational awareness for Cursor.
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Rules for git operations, commit strategy, and GitHub CLI usage.
feedback-enhanced
Rules for an interactive feedback system that lets users and an AI agent discuss complex development work in real time. It includes guidance for recording decisions, tracking progress and handling detailed inputs such as code and diagrams.
122-swift-development
122: Swift development workflow including TDD, refactoring, and performance optimization.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.