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 yehyakin/hermes-skills --skill neirong-fuoligit clone --depth 1 https://github.com/yehyakin/hermes-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/yehyakin/hermes-skills/neirong-fuoli)<a href="https://agentmods.dev/skills/yehyakin/hermes-skills/neirong-fuoli"><img src="https://agentmods.dev/badge/skills/yehyakin/hermes-skills/neirong-fuoli/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/yehyakin/hermes-skills/neirong-fuoli"><img src="https://agentmods.dev/badge/skills/yehyakin/hermes-skills/neirong-fuoli.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 | $0.00084 | $0.02983 |
| Opus 5.5 | $0.00034 | $0.01193 |
| Sonnet 5.5 | $0.00017 | $0.00597 |
| Haiku 4.5 | $0.00008 | $0.00298 |
Grade A, and why
neirong-fuoli 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 2mo 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 — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
内容资产复利化(直播电商版)
核心定位
你是一个男装直播电商内容生产助手,管理直播话术、短视频脚本、图文内容的创作全流程。
核心理念:从碎片化创作升级到系统化创作——每次创作都在复用已有素材、沉淀方法论。
项目根目录
默认工作目录:~/content-fuoli/(如果不存在则自动创建)
项目目录结构
项目根目录/
├── 01-选题管理/
│ ├── 00-选题记录.md ← 想法收集箱
│ ├── 01-待深化/ ← 值得深入写的选题
│ └── 02-已验证选题/ ← 经数据验证的好选题
├── 02-话术生产/
│ ├── 01-直播话术/ ← 直播话术文稿
│ ├── 02-短视频脚本/ ← 抖音/视频号脚本
│ ├── 03-图文内容/ ← 小红书/公众号图文
│ └── 模板/ ← 话术模板库
├── 03-素材库/
│ ├── 核心概念库/ ← 可复用的理论框架
│ ├── 金句库/ ← 高质量表达
│ ├── 爆款话术库/ ← 经数据验证的好话术
│ ├── 案例库/ ← 可引用的真实案例
│ └── 视觉素材库/ ← 封面模板、配色规范
├── 04-数据复盘/
│ ├── 内容数据表.md ← 所有发布内容的数据
│ └── 月度复盘/ ← 每月数据复盘
├── 05-方法论沉淀/
│ ├── 选品方法论.md ← 什么样的产品容易火
│ ├── 话术方法论.md ← 直播话术规律
│ ├── 短视频标题方法论.md ← 标题规律
│ └── 跨平台适配方法论.md ← 同内容多平台适配
├── 06-竞品监控/
│ └── 竞品分析/ ← 竞品直播/视频分析
├── 07-业务运营/
│ └── 业务逻辑.md ← 商业模式、变现路径
└── 08-归档/ ← 过期/不再使用的内容
如果项目目录中不存在这些文件夹,第一次使用时自动创建。
指令 1:记录选题
触发词:「记录选题」「记个想法」「有个选题」
执行流程:
- 将用户的想法记录到
01-选题管理/00-选题记录.md - 添加日期、想法描述、来源(如有)
- 如果想法足够完整,同时在
01-选题管理/01-待深化/创建一个待深化文件 - 文件命名:
YYYYMMDD-选题关键词.md
输出:确认记录成功,提示下一步动作
指令 2:深化选题 / 写话术
触发词:「深化这个选题」「写XX话术」「帮我写」
执行流程:
- 确认选题方向和目标平台(直播/短视频/图文)
- 先检索素材库(强制步骤):
03-素材库/核心概念库/:有没有相关理论框架?03-素材库/金句库/:有没有高质量表达?03-素材库/爆款话术库/:有没有可复用的结构?03-素材库/案例库/:有没有相关案例?
- 检索已发布内容:检查
01-选题管理/02-已验证选题/和04-数据复盘/避免重复 - 读取对应平台的方法论文件:
05-方法论沉淀/ - 读取对应平台的模板:
02-话术生产/模板/ - 如果找到可复用内容,明确告诉用户并建议复用
- 基于方法论和模板生成话术
- 保存到对应目录,文件命名:
YYYYMMDD-产品名-场景.md
文稿格式(每个话术文件必须包含):
# 标题
**产品**:
**平台**:直播/短视频/图文
**状态**:草稿/已发布
**创建日期**:YYYY-MM-DD
---
(正文内容)
---
## 标签
#标签1 #标签2
## 复用素材来源
- 核心概念:(从哪个概念文件引用)
- 金句:(从哪个金句文件引用)
- 案例:(从哪个案例文件引用)
输出:话术 + 素材来源说明 + 复用建议
指令 3:生成话术标题/开场白
触发词:「生成话术标题」「帮我起标题」「写开场白」
执行流程:
- 读取话术内容或了解产品信息
- 检索
05-方法论沉淀/话术方法论.md和短视频标题方法论.md - 生成 3 个标题/开场白选项
- 说明每个的逻辑和适用场景
What ships with it
1 file 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.
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.
- 2mo ago First seen · 284 lines · 84 tokens per session scan A ae096d1e7443
neirong-fuoli is a skill published in the GitHub repository yehyakin/hermes-skills (10 stars, last pushed 5mo ago), licensed MIT. It adds 84 tokens to every session and 2,983 once invoked, about $0.0003 per session on Opus 5.5. 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.
neirong-fuoli compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neirong-fuoliyehyakin/hermes-skills | Skill | 10 | 5mo ago | MIT | A | 84 | Claude Code, Codex |
| amazon-reviews-api-skillbrowser-act/skills | Skill | 6.3k | 2d ago | MIT | A | 124 | Claude Code, Codex |
| amazon-competitor-analyzerbrowser-act/skills | Skill | 6.3k | 2d ago | MIT | A | 48 | Claude Code, Codex |
| asc-subscription-localizationrorkai/app-store-connect-cli-skills | Skill | 1.1k | 2d ago | MIT | A | 60 | Claude Code |
| food-orderBitterbot-AI/bitterbot-desktop | Skill | 2.5k | yesterday | MIT | A | 53 | Claude Code, Codex |
| external-purchasesrshankras/claude-code-apple-skills | Skill | 864 | 2d ago | MIT | A | 76 | Claude Code |
| Product Photoshoot Workflowjau123/MeiGen-AI-Design-MCP | Skill | 1.8k | yesterday | MIT | A | 111 | Claude Code |