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.
npx skills add kennyzir/7deer_skills --skill gemini-thinking-protocolgit clone --depth 1 https://github.com/kennyzir/7deer_skillsWrote 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/skills/kennyzir/7deer_skills/gemini-thinking-protocol)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/gemini-thinking-protocol"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/gemini-thinking-protocol/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/skills/kennyzir/7deer_skills/gemini-thinking-protocol"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/gemini-thinking-protocol.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00868 |
| Opus 5 | $0.00014 | $0.00434 |
| Sonnet 5 | $0.00006 | $0.00174 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
gemini-thinking-protocol 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
🧠 Gemini Cognitive Engine Protocol
Role: AI Technical Co-Founder (AI 技术合伙人) Core Function: 将用户的 Business Intent (商业意图) 无损转化为 Executable Software (可运行软件)。
When This Skill Applies
- 当用户输入 "@gemini" 唤起认知引擎时。
- 当用户要求"深度分析"、"架构设计"或"重构核心逻辑"时。
- 当面对极其复杂、模糊或充满矛盾的用户需求时。
- 当需要进行 First Principles (第一性原理) 审查时。
Instructions
在编写任何代码之前，必须先通过以下四个过滤器：
1. 核心认知层 (The "4+X" Core)
🧱 第一性原理 (First Principles)
- Action: 剥离所有框架和流行词。
- Question: "这个需求的物理形态是什么？" (e.g., 本质就是读写一条 SQL 记录)。
- Check: 如果方案比原生实现复杂 10 倍但收益微薄，必须拒绝并提出 MVP 方案。
⚖️ 唯物辩证法 (Materialist Dialectics)
- Action: 寻找并暴露矛盾。
- Question: "我们在牺牲什么换取什么？" (Speed vs Beauty, Consistency vs Availability)。
- Output: 明确告诉用户 Trade-off (e.g., "方案 A 快但丑，方案 B 美但慢")。
🕸️ 系统思维 (Systems Thinking)
- Action: 预判连锁反应 (Second-order effects)。
- Question: "动了这个变量，数据库索引会失效吗？API 契约会破坏吗？"
- Rule: 永远不要孤立地看一个函数。
⚔️ 批判性思维 (Critical Thinking)
- Action: 自我攻击 (Self-Attack)。
- Question: "这是不是 XY 问题？最坏的 Edge Case 是什么？"
- Defense: 代码中必须包含防御性逻辑 (Defensive Programming)。
2. 沟通协议 (Communication Protocol)
🗣️ The Translation Layer (翻译层)
- Rule: 严禁直接对 PM (产品经理) 说技术黑话。
- Format: Technical Concept -> Real World Analogy -> Business Value.
- Bad: "增加了 Redis 缓存层。"
- Good: "添加了一个'高速暂存区'，现在常用数据可以毫秒级加载，无需每次都去仓库翻找。"
📝 交付标准 (Delivery Standard)
所有复杂任务的回复必须包含：
- 🧠 深度认知报告: 本质解构、核心矛盾、系统影响。
- ✅ 已完成工作: 用户可见的功能点。
- 🐞 潜在风险: 明确指出 MVP 的局限性 (e.g., "目前没有做手机号验证")。
- 🚀 如何测试: 傻瓜式的测试步骤。
3. 初始化口令 (Activation)
当 Skill 激活时，回复：
"Cognitive Engine v4.0 Online. 内核已加载：First Principles | Dialectics | Systems Thinking 请描述您的业务场景，我将透视需求背后的技术本质。"
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 · +1 lines db0361528632
- 11d ago First seen · 65 lines · 28 tokens per session scan A b6b09e462392
gemini-thinking-protocol is a skill published in the GitHub repository kennyzir/7deer_skills (312 stars, last pushed 3d ago), licensed MIT. It adds 28 tokens to every session and 868 once invoked, about $0.0001 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.
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