Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/kennyzir/7deer_skillsnpx agentmods add skills/kennyzir/7deer_skills/youtube-game-keywordsWrote 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-keywords)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/youtube-game-keywords"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/youtube-game-keywords/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-keywords"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/youtube-game-keywords.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 | $0.00078 | $0.02603 |
| Opus 5 | $0.00039 | $0.01301 |
| Sonnet 5 | $0.00016 | $0.00521 |
| Haiku 4.5 | $0.00008 | $0.00260 |
Grade A, and why
youtube-game-keywords 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 13d 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Game Keywords Skill
从 YouTube 订阅频道抓取游戏相关内容，识别游戏关键词并生成结构化日报。
🚀 快速开始
前置要求
| 依赖 | 说明 |
|---|---|
| OpenClaw | 本 skill 运行于 OpenClaw 环境（https://openclaw.ai） |
| 飞书 Bot | 需要已配置好的飞书 Bot 和 feishu_doc / message 工具权限 |
| Browser 工具 + YouTube 登录态 | 用于抓取订阅页（⚠️ 必须已登录 YouTube，见下方说明） |
| OpenClaw Browser 配置 | 详见"Browser 配置说明"章节 |
飞书 Bot 所需权限
| 权限名称 | 权限标识 | 用途 |
|---|---|---|
| 云文档 | docx:document |
创建飞书云文档写入日报 |
| 发消息 | im:message:send_as_bot |
向用户发送飞书消息 |
| 读取消息 | im:message |
消息交互（可选） |
💡 权限开通路径：飞书开放平台 → 应用 → 权限管理 → 搜索权限名称 → 开通
环境变量
| 变量 | 说明 | 必需 |
|---|---|---|
FEISHU_TARGET_USER |
飞书通知目标用户的 open_id | 可选（默认发给当前对话用户） |
⏰ 定时任务配置
本 skill 支持设置为每天自动执行。在 OpenClaw 中创建以下 cron job 即可：
创建命令：
openclaw cron add \
--name "YouTube Game Keywords 日报" \
--schedule "0 10 * * *" \
--tz "Asia/Shanghai" \
--payload-kind agentTurn \
--payload-message "使用 youtube-game-keywords skill，执行 YouTube 订阅频道游戏关键词日报任务。按照 skill 完整流程执行：1. 先尝试运行官方脚本（超时则降级用 browser 抓 YouTube 订阅页）2. 整理游戏关键词日报 3. 发送飞书消息到飞书用户 4. 创建飞书云文档并写入完整报告 5. 在飞书消息里附上文档链接" \
--payload-timeout 900 \
--delivery-mode announce \
--delivery-channel feishu
完整 Cron Job JSON（手动创建时使用）：
{
"name": "YouTube Game Keywords 日报",
"schedule": { "kind": "cron", "expr": "0 10 * * *", "tz": "Asia/Shanghai" },
"sessionTarget": "isolated",
"payload": {
"kind": "agentTurn",
"message": "使用 youtube-game-keywords skill，执行 YouTube 订阅频道游戏关键词日报任务。按照 skill 完整流程执行：1. 先尝试运行官方脚本（超时则降级用 browser 抓 YouTube 订阅页）2. 整理游戏关键词日报 3. 发送飞书消息到飞书用户 4. 创建飞书云文档并写入完整报告 5. 在飞书消息里附上文档链接",
"timeoutSeconds": 900
},
"delivery": {
"mode": "announce",
"channel": "feishu",
"to": "user:YOUR_OPEN_ID",
"accountId": "default",
"bestEffort": true
}
}
参数说明：
| 参数 | 值 | 说明 |
|---|---|---|
schedule.expr |
0 10 * * * |
每天 10:00 执行，可改为其他时间 |
delivery.to |
user:ou_xxxx |
替换为接收通知的飞书用户 open_id |
timeoutSeconds |
900 |
15 分钟超时，覆盖 browser 抓取耗时 |
sessionTarget |
isolated |
在独立 session 中运行，不影响主对话 |
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.
- 13d ago First seen · 278 lines · 78 tokens per session scan A 1085131a492f
youtube-game-keywords is a skill published in the GitHub repository kennyzir/7deer_skills (313 stars, last pushed 4d ago), licensed MIT. It adds 78 tokens to every session and 2,603 once invoked, about $0.0004 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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