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/guide)<a href="https://agentmods.dev/rules/claire-gong-18/awesome-cursorrules/guide"><img src="https://agentmods.dev/badge/rules/claire-gong-18/awesome-cursorrules/guide/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/guide"><img src="https://agentmods.dev/badge/rules/claire-gong-18/awesome-cursorrules/guide.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 | $0.00000 | $0.01319 |
| Opus 5 | $0.00000 | $0.00660 |
| Sonnet 5 | $0.00000 | $0.00264 |
| Haiku 4.5 | $0.00000 | $0.00132 |
Grade A, and why
guide 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Coding with Go Temporal DSL: Humans Design, Agents Implement!
If you are an AI agent involved in building or modifying Temporal workflows using this project's Go DSL, read this guide VERY carefully! This is the most important chapter in the entire ruleset. Always (1) start with the simplest possible workflow structure, (2) confirm the high-level design (Sequence vs. Parallel, Activity needs) with the human before implementation, and (3) frequently ask for feedback on the generated DSL structure and data flow (
bindings). {: .warning }
Agentic Workflow Building Steps
Building workflows with the Go Temporal DSL should be a collaboration:
| Step | Human | AI | Comment |
|---|---|---|---|
| 1. Requirements | ★★★ High | ★☆☆ Low | Humans define the overall business process and goals. |
| 2. High-Level Flow | ★★☆ Medium | ★★☆ Medium | Humans outline the main steps (sequential/parallel), AI suggests DSL structure. |
| 3. Activities | ★★☆ Medium | ★★☆ Medium | Humans specify required Activities (or ask AI to propose), AI checks activities.mdc. |
4. Data Flow (bindings) |
★☆☆ Low | ★★★ High | AI determines necessary Variables, Arguments, Result based on the flow. |
| 5. DSL Implementation | ★☆☆ Low | ★★★ High | AI generates the Workflow struct using Sequence, Parallel, ActivityInvocation. |
| 6. Review & Refine | ★★☆ Medium | ★★☆ Medium | Humans review the DSL, AI helps refine based on feedback. |
| 7. Activity Implementation | ★☆☆ Low | ★★★ High | AI implements required Activity functions/methods (following activities.mdc). |
- Requirements: Humans clarify the business process to be automated. Understand what tasks need to be done, in what order, and what data is involved.
- Is it a simple sequence of tasks?
- Are there steps that can run in parallel?
- What data needs to pass between steps?
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.
- 9d ago First seen · 74 lines · 0 tokens per session scan A b2f4c6ea3d9c
guide 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 costs nothing until one of its globs matches a file; then it loads 1,319 tokens. A static security scan graded it A with 0 findings. It comes from a forked repository.
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