prompt-design

Rules for changing the product’s AI prompts, including prompts for the CEO, workers, debates, skills, tools, facts, and on-screen text. They define where each instruction belongs and how to test prompt changes.

In plain words
What is it for?
Use them when adding, removing, relocating, or shortening AI instructions, especially when changing safety gates, roles, tool descriptions, or prompt-size tests.
Why use it?
They reduce contradictory or duplicated instructions and help ensure product facts are not confused with an agent’s role or identity.

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/lawofall/agentcore/prompt-design
Clone the repo
git clone --depth 1 https://github.com/Lawofall/AgentCore

Made for: Cursor.

Per session 602 This file is loaded in full into every session.
When invoked 602 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 $0.00602 $0.00602
Opus 5 $0.00301 $0.00301
Sonnet 5 $0.00120 $0.00120
Haiku 4.5 $0.00060 $0.00060

Measured 2d ago against content hash 0519fc21bcff, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prompt-design 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.

.cursor/rules/prompt-design.mdc · 16 lines

What it actually says

提示词改动

产品 AI 提示词(CEO 核 / 基座 / 队员身份 / 辩论 / Skill / 工具 schema / 事实层 / 场面门 / 引擎当场文案)先读再改上下文工程 · 提示词设计原则。入场闸、一层一所有者、否决表权威在原则文,此处不重抄。

  • 加一行只选一个落点 → 原则文新事故入场闸;加禁止句先定层再过补集测试。审议已有一句是否留在常驻 → 同一闸方向相反:先过「每回合都要用的身份?」;产品事实即使在 <身份> 也出核。
  • 一层一所有者:同一条纪律在提示串里只出现一次。标签 = 决策时刻(身份 / 输入 / 工作权威 / 诚实 / 输出),权威在原则文。基座不写 <身份>,只写 CEO 与 worker 同真的句子;工种不对称进角色 <身份> 或节点合同。HOW 在 consult 正文;when-to-use 在工具 description;目录行只写这是什么;闸在代码不进提示词。
  • 禁止六类:补集禁止 / 判例入常驻 / 层放错 / 产品事实冒充身份 / 重复抄写 / 瘦身换闸 → 判据在原则文否决
  • 加闸 → intercept-discipline.mdc,禁止用拦截补短提示。
  • 注入字面出门过 现行信息:不改变以后行动的句子不留;废名连删,测试改缺席,禁止靠点名废字段「禁复活」。

体积:tests/test_ceo_core_ratchet.py(基座+核)、tests/test_tool_schema_size_ratchet.py(工具面)默认只降不升;test_prompt.py 守原则 / 缺席 / 唯一性,不守判例字面。

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. 2d ago First seen · 16 lines · 602 tokens per session scan A 0519fc21bcff

Subscribe to this mod's changes

prompt-design is a cursor rule published in the GitHub repository Lawofall/AgentCore (78 stars, last pushed 3d ago), licensed MIT. It adds 602 tokens to every session, about $0.0030 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 2026-08-30.