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 youtube-game-scoutgit 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/youtube-game-scout)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/youtube-game-scout"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/youtube-game-scout/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/youtube-game-scout"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/youtube-game-scout.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 | $0.00050 | $0.00835 |
| Opus 5 | $0.00025 | $0.00417 |
| Sonnet 5 | $0.00010 | $0.00167 |
| Haiku 4.5 | $0.00005 | $0.00084 |
Grade A, and why
youtube-game-scout scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
YouTube Game Scout Skill
概述
通过 CDP (Chrome DevTools Protocol) 自动化抓取 YouTube 订阅频道,识别新游戏发现信号,生成结构化游戏发现报告。
核心功能
- CDP 滚动抓取 — 连接 Chrome 浏览器,滚动 YouTube 订阅 feed,提取视频元数据
- 游戏信号分析 — 0-20 分信号评分,识别 NEW/UPDATE/EMERGING 关键词
- 平台分类 — 区分 Roblox/Steam/itch.io/HTML5/AAA 游戏
- 报告生成 — 输出 markdown 格式游戏发现报告
脚本说明
cdp_game_scout.js
CDP 游戏侦察脚本。通过 Chrome 远程调试端口连接浏览器,滚动订阅 feed 并提取视频数据。
前置条件:
- Chrome 浏览器需开启远程调试端口:
--remote-debugging-port=18800 - Node.js 环境
wsnpm 模块:npm install -g ws
使用方法:
# 1. 启动 Chrome(macOS)
open -a "Google Chrome" --args --remote-debugging-port=18800
# 2. 运行抓取脚本
NODE_PATH=$HOME/.npm-global/lib/node_modules \
node cdp_game_scout.js
输出:
/tmp/yt_games_final.json— 原始视频数据- 终端打印抓取进度
analyze_game_discovery.py
游戏发现信号分析器。读取 JSON 数据,输出评分后的游戏发现报告。
前置条件:
- Python 3.7+
- 无额外依赖
使用方法:
python3 analyze_game_discovery.py
评分维度(0-20 分):
| 信号 | 分值范围 | 说明 |
|---|---|---|
| NEW GAME | +5-10 | 首次发现/新发布 |
| UPDATE | +3-5 | 游戏更新版本 |
| EMERGING | +4-8 | 上升期游戏 |
| PLATFORM | +1-3 | 平台明确度 |
| GENRE | +1-2 | 类型清晰度 |
| PERSONAL REVIEW | +2 | "I played/tried" 亲测信号 |
| WORTH IT | +1 | 价值评估信号 |
输出:
/tmp/game_discovery_report.md— 结构化报告
工作流程
手动浏览订阅频道(browser 工具)
↓
运行 cdp_game_scout.js 抓取数据
↓
运行 analyze_game_discovery.py 分析
↓
生成游戏发现报告
↓
(可选)推送至 Feishu 文档
配置
- CDP WebSocket URL:
ws://127.0.0.1:18800/devtools/page/<TARGET_ID> - 抓取深度: 25 次滚动(~5 天视频覆盖)
- 数据存储:
/tmp/yt_games_final.json
局限性
- 需手动登录 YouTube 获取订阅 feed 访问权限
- 频道名称提取受 YouTube Shadow DOM 影响
- 滚动深度有限,超出窗口的视频不会被抓取
- 建议配合 YouTube Game Keywords cron(10:00 CST)使用
What ships with it
3 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.
- 4d ago Changed · +5 lines · +50 tokens per session 078f482c4499
- 13d ago First seen · 93 lines · 0 tokens per session scan A a138593dde0b
youtube-game-scout is a skill published in the GitHub repository kennyzir/7deer_skills (313 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 835 once invoked, about $0.0003 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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