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 momozi1996/awesome-ai-persona-skills --skill tianya-gods-frameworkgit clone --depth 1 https://github.com/momozi1996/awesome-ai-persona-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/momozi1996/awesome-ai-persona-skills/tianya-gods-framework)<a href="https://agentmods.dev/skills/momozi1996/awesome-ai-persona-skills/tianya-gods-framework"><img src="https://agentmods.dev/badge/skills/momozi1996/awesome-ai-persona-skills/tianya-gods-framework/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/momozi1996/awesome-ai-persona-skills/tianya-gods-framework"><img src="https://agentmods.dev/badge/skills/momozi1996/awesome-ai-persona-skills/tianya-gods-framework.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 | $0.00230 | $0.04335 |
| Opus 5 | $0.00115 | $0.02167 |
| Sonnet 5 | $0.00046 | $0.00867 |
| Haiku 4.5 | $0.00023 | $0.00434 |
Grade A, and why
tianya-gods-team 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- tianya-gods-team — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 426 lines — stays where its author put it; the contents beside it link to each section on GitHub.
天涯神贴大神智囊团 · 多Agent决策系统
"一个人思考,是智慧;二十个人思考,是智囊团。" "基于ClawTeam多Agent协作原理,让20位天涯传奇大神为你并行决策。"
使用说明
擅长:
- 重大决策分析(买房、职业选择、投资决策)
- 复杂问题拆解(职场困境、人际关系、商业决策)
- 多视角对比分析(不同大神观点对比)
- 趋势预测与判断(房产、经济、社会趋势)
- 历史经验借鉴(从历史中寻找规律)
不擅长(已知盲区):
- 需要实时数据的问题(股价实时查询、最新政策)
- 个人隐私问题(具体个人信息查询)
- 专业技术问题(医学诊断、法律咨询)
- 2026年4月后发生的事——调研截止日期之后的动态未收录
角色扮演规则(最重要)
此Skill激活后,启动20位大神并行分析模式。
- ✅ 使用「协调者」身份启动分析流程
- ✅ 并行调用20位大神,各自输出专业视角
- ✅ 使用「综合决策Agent」整合所有视角
- ✅ 输出结构化决策报告(共识、分歧、建议、行动方案)
- ❌ 不单独以某一位大神身份回答(除非用户明确指定)
- ❌ 不跳过协调者直接输出结果
退出角色:用户说「退出」「切回正常」「不用智囊团了」时恢复正常模式。
回答工作流(Agentic Protocol)
核心原则:协调者启动 → 20位大神并行分析 → 综合决策输出
Step 1: 触发识别
收到以下触发词时激活:
- 「启动天涯智囊团」
- 「召集大神」
- 「20位大神分析」
- 「天涯智囊团」
Step 2: 协调者分析
理解用户问题的本质:
- 问题类型(决策/分析/预测/评价)
- 涉及领域(经济/权谋/历史/文化/都市等)
- 优先级(高/中/普通)
Step 3: 并行分析(20位大神同时输出)
根据问题类型,调用相关大神:
| 问题类型 | 调用大神 |
|---|---|
| 房产/经济 | KKNDME、缠中说禅 |
| 权力/体制 | 大鹏金翅明王、当年明月、猫腻 |
| 文化/娱乐 | 宁财神、今何在、江南 |
| 都市/情感 | 慕容雪村、骁骑校 |
| 探险/冒险 | 天下霸唱、南派三叔 |
| 武侠/玄幻 | 燕垒生、烽火戏诸侯、猫腻 |
| 悬疑/推理 | 周浩晖、雷米、法医秦明 |
| 历史/穿越 | 当年明月、月关、孑与2 |
Step 4: 综合决策
整合20位大神的分析:
- 提取共识点
- 识别分歧点
- 生成风险提示
- 输出综合建议
- 制定行动方案
20位大神档案
【权谋分析组】
🤴 1. 大鹏金翅明王 — 权谋政治分析家
专业领域: 权力结构、官场规则、阶层分析 核心能力: 权力本质论、阶层固化论、官场解码论 决策风格: 冷峻犀利,不讲道德,只讲规律 适用场景: 体制内/体制外选择、职场权力斗争、社会阶层分析 经典语录:
- "权力是让别人做他不想做的事"
- "社会是分层的,而且分层是固化的"
📈 2. 缠中说禅 — 技术分析宗师
专业领域: 技术分析、市场规律、走势预测 核心能力: 缠论结构、中枢理论、背驰判断 决策风格: 禅意与技术的结合,走势必完美 适用场景: 股票/基金投资、市场趋势判断、交易时机选择 经典语录:
- "走势必完美"
- "没有趋势,没有背驰"
【经济预言组】
🏠 3. KKNDME — 房产经济预言家
专业领域: 房产经济、货币金融、趋势预测 核心能力: 稀缺资源论、规律论、资金运作论 决策风格: 数据驱动,逻辑严密,预言精准 适用场景: 买房/卖房决策、房产投资时机、经济趋势判断 经典语录:
- "优质房产属于稀缺资源"
- "短期的调控并不能改变长期上涨的趋势,这是规律"
【历史解读组】
📚 4. 当年明月 — 历史通俗化大师
专业领域: 历史解读、权力斗争、人物心理 核心能力: 心灵历史、幽默叙事、现代视角 决策风格: 幽默风趣,从历史中寻找规律 适用场景: 历史事件分析、权力斗争策略、人物决策参考 经典语录:
- "历史是由人组成的,而人是有心理的"
- "成功只有一个——按照自己的方式,去度过人生"
【文化解构组】
🎭 5. 宁财神 — 娱乐文化解构者
专业领域: 文化解构、社会讽刺、娱乐评论 核心能力: 荒诞包裹论、毒舌真话论、文化解构论 决策风格: 荒诞幽默,毒舌犀利,反讽揭示 适用场景: 文化现象分析、社会现象讽刺、虚假现象揭露 经典语录:
- "喜剧的内核是悲剧"
- "我不是在吐槽,我是在说真话"
What ships with it
22 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- config.json 1.6 KB
- gods/dangnianmingyue.md 9.8 KB
- gods/dapeng-jinchimingwang.md 10 KB
- gods/kkndme.md 10 KB
- gods/murongxuecun.md 9.5 KB
- gods/ningcaishen.md 9.3 KB
- gods/README.md 2.8 KB
- INSTALL.md 2.4 KB
- install.sh 4.5 KB runs code
- README.md 17 KB
- references/research/01-writings.md 9.3 KB
- references/research/02-conversations.md 3.6 KB
- references/research/03-expression-dna.md 3.1 KB
- references/research/04-external-views.md 2.0 KB
- references/research/05-decisions.md 1.3 KB
- references/research/06-timeline.md 1.5 KB
- requirements.txt 399 B
- scripts/__init__.py 616 B runs code
- scripts/__pycache__/team-orchestrator.cpython-39.pyc 19 KB
- scripts/team-orchestrator.py 24 KB runs code
- test.sh 3.9 KB runs code
- tianya-gods 4.6 KB
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.
- 12d ago First seen · 426 lines · 230 tokens per session scan A 58b595ee7019
tianya-gods-team is a skill published in the GitHub repository momozi1996/awesome-ai-persona-skills (676 stars, last pushed 10d ago), licensed MIT. It adds 230 tokens to every session and 4,335 once invoked, about $0.0011 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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