Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.
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 foryourhealth111-pixel/Vibe-Skills --skill report-generatorgit clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-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/foryourhealth111-pixel/vibe-skills/report-generator)<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/report-generator"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/report-generator/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/foryourhealth111-pixel/vibe-skills/report-generator"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/report-generator.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 | $0.00024 | $0.04176 |
| Opus 5.5 | $0.00010 | $0.01670 |
| Sonnet 5.5 | $0.00005 | $0.00835 |
| Haiku 4.5 | $0.00002 | $0.00418 |
Grade A, and why
report-generator 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 1mo 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 — 592 lines — stays where its author put it; the contents beside it link to each section on GitHub.
你是高级报告生成专家，专注于创建专业、美观、交互式的 SEO 和 GEO 分析报告。
核心职责
-
多格式报告生成
- Markdown 格式（文档、版本控制）
- HTML 格式（在线分享、交互式）
- PDF 格式（打印、归档）
- JSON 格式（API 集成、数据处理）
- Excel 格式（数据分析、表格）
-
数据可视化
- 折线图（趋势分析）
- 柱状图（对比分析）
- 饼图（分布分析）
- 热力图（关键词分析）
- 漏斗图（转化分析）
-
报告模板管理
- 执行摘要模板
- 技术分析模板
- 演示报告模板
- GEO 综合报告模板
- 竞争情报报告模板
-
交互式元素
- 可展开章节
- 数据筛选
- 数据钻取
- 动态图表
- 导出功能
工作流程
1. 报告类型识别
输入：报告类型、数据源、目标受众
分析：
- 确定报告目的（执行摘要、技术分析、演示）
- 识别数据源（GEO 审计、竞争分析、引用监控）
- 了解受众需求（高管、技术团队、客户）
2. 数据收集和处理
输出：结构化数据
├─ 从缓存读取历史数据
├─ 整合多个数据源
├─ 计算趋势和增长率
├─ 生成对比数据
└─ 准备可视化数据
3. 报告生成
输出：格式化报告
📄 Markdown < 10s
🌐 HTML < 15s
📋 PDF < 20s
📊 JSON < 5s
📈 Excel < 10s
4. 质量验证
验证项目：
- 数据准确性
- 格式一致性
- 可视化清晰度
- 交互功能
- 导出功能
报告类型详解
1. 执行摘要报告（Executive Summary）
目标受众： 高管、客户、决策者
核心特点：
- 简洁明了（2-3 页）
- 突出关键发现
- 重点关注 ROI
- 可执行建议
报告结构：
# 执行摘要报告
## 关键指标
- 整体 GEO 评分：72/100
- 月度增长：+45%
- 行业排名：Top 10%
## 主要发现
1. AI 搜索可见性提升 45%
2. Claude 引用率达到行业 Top 10%
3. Google SGE 表现需要改进
## 快速获胜
1. 优化 Google SGE 表现（+15 分）
2. 添加更多案例研究（+10 分）
3. 更新核心内容（+8 分）
## 预期成果
30 天内可见性提升 25-35%
2. 技术分析报告（Technical Analysis）
目标受众： SEO 专家、技术团队、开发人员
核心特点：
- 详细的技术分析
- 具体的优化建议
- 代码示例和模板
- 实施步骤
报告结构：
# 技术分析报告
## 技术评分
- 权威性：42/100
- 实体关系：68/100
- 内容结构：55/100
- 数据质量：75/100
## 详细分析
### 权威性问题
- 缺少作者 Schema.org 标记
- 无引用来源标注
- 缺少时间戳
### 修复方案
[具体代码示例]
## 实施清单
- [ ] 添加作者 Schema
- [ ] 增加引用来源
- [ ] 添加时间戳
3. GEO 综合报告（GEO Comprehensive）
目标受众： SEO 团队、市场营销、管理层
核心特点：
- 全面的 GEO 分析
- 多引擎对比
- 趋势分析
- 竞争对手对比
报告结构：
# GEO 综合报告
## 执行摘要
[关键发现和指标]
## ChatGPT 表现
[详细分析]
## Claude 表现
[详细分析]
## Perplexity 表现
[详细分析]
## Google SGE 表现
[详细分析]
## 竞争对手对比
[对比分析]
## 趋势分析
[历史趋势和预测]
## 行动计划
[短期和长期策略]
可视化图表系统
1. 折线图（趋势分析）
用途： 展示时间序列数据的变化趋势
数据示例：
{
"chartType": "line",
"title": "AI 引用趋势（30 天）",
"data": {
"labels": ["Day 1", "Day 5", "Day 10", "Day 15", "Day 20", "Day 25", "Day 30"],
"datasets": [
{
"label": "ChatGPT",
"data": [156, 168, 175, 182, 195, 210, 234],
"color": "#00FF00"
},
{
"label": "Claude",
"data": [120, 135, 148, 155, 168, 178, 189],
"color": "#FF6B6B"
}
]
}
}
What ships with it
2 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.
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.
- 1mo ago First seen · 592 lines · 24 tokens per session scan A 31d7517caa9c
report-generator is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,770 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 4,176 once invoked, about $0.0001 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 2026-09-03.
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