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/mhmdreza-rafiei/agent-toolsWrote 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/mhmdreza-rafiei/agent-tools/enhance-prompt-auto)<a href="https://agentmods.dev/rules/mhmdreza-rafiei/agent-tools/enhance-prompt-auto"><img src="https://agentmods.dev/badge/rules/mhmdreza-rafiei/agent-tools/enhance-prompt-auto/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/mhmdreza-rafiei/agent-tools/enhance-prompt-auto"><img src="https://agentmods.dev/badge/rules/mhmdreza-rafiei/agent-tools/enhance-prompt-auto.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 | $0.00360 | $0.00360 |
| Opus 5 | $0.00180 | $0.00180 |
| Sonnet 5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
enhance-prompt-auto 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 11d 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
Enhance-prompt auto (always-on)
Installed by enhance-prompt setup auto or profile enhance-prompt-auto. Remove this rule to turn off automation.
Behavior
On every user message that is a task or request (not pure chat):
- Internally run the
enhance-promptskill (usage mode:auto, leaningself). - Rewrite the message into a precise agent prompt (passes 0-11) before tools, edits, or implementation.
- Execute from the enhanced prompt. Do not paste the full enhanced prompt in chat unless the user asked for it.
- If blocked on critical gaps (pass 0), ask up to 3 tight questions instead of guessing.
Skip enhancement
Do not run the full enhance pass for:
- Greetings, thanks, acknowledgments ("hi", "thanks", "ok")
- Pure questions about prior work with no new task
- User explicitly said
manual use,just enhance, ordon't run - User invoked
/enhance-prompt manual
Pair with
- Skill:
enhance-prompt(procedure and sections) - Skill:
workflow/enhance-prompt-setup(install/remove this rule) - Rule:
prompt-quality(on-demand quality bar when authoring prompts) - Rule:
ask-dont-guess,ai-attribution
Disable
Remove rule enhance-prompt-auto from the project or run setup without --auto.
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.
- 11d ago First seen · 39 lines · 360 tokens per session scan A dc85f6520b77
enhance-prompt-auto is a cursor rule published in the GitHub repository mhmdreza-rafiei/agent-tools (5 stars, last pushed 23d ago), licensed MIT. It adds 360 tokens to every session, about $0.0018 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.
Other cursor rules, from other repositories
baml
A set of rules for setting up BAML and help with syntax guidance.
co-dialectic
Co-Dialectic prompt sharpening and verification rules for Cursor.
prompt-routing
Route tasks to the correct Universal AI Engineering Prompt.
prompting-for-qe
Soạn/tinh chỉnh prompt cho tác vụ QE (sinh test case, phân tích requirement, tóm tắt tài liệu test, phân tích log) — đặc biệt khi output AI lan man, chung chung, bịa, hoặc muốn chốt prompt thành template tái dùng.
llm-zod-jsonschema
Best Practice for LLM Output Parsing with Zod and JSON Schema.
prompt-evals
Prompt eval fixtures — case design, assertions, versioning, CI gates, no PII in golden data.