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 redfox-data/redfox-community-dsh --skill overseas-trending-searchgit clone --depth 1 https://github.com/redfox-data/redfox-community-dshWrote 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/redfox-data/redfox-community-dsh/overseas-trending-search)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/overseas-trending-search"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/overseas-trending-search/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/redfox-data/redfox-community-dsh/overseas-trending-search"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/overseas-trending-search.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 | $0.00155 | $0.02619 |
| Opus 5 | $0.00077 | $0.01309 |
| Sonnet 5 | $0.00031 | $0.00524 |
| Haiku 4.5 | $0.00015 | $0.00262 |
Grade A, and why
overseas-trending-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
海外跨平台热文搜索
输入任意关键词（中文/英文），一键搜索 X / TikTok / YouTube 三平台热门内容，每平台按点赞/播放/评论/发布时间取 Top N（默认 5），输出统一字段列表：平台、标题、作者、播放数、点赞数、评论数、发布时间、链接。
API 请求均携带
ChinaTrendingDigest-RedSkill标识。需先配置 API Key，通过环境变量 REDFOX_API_KEY 或 --api-key 参数传入。 架构为平台适配器模式：新平台（如 YouTube）只需新增适配器文件，主流程零改动。
使用场景
| 场景 | 示例 |
|---|---|
| 每日热点追踪 | 每天跑一次 "AI"，掌握三平台当日最热内容 |
| 跨平台对比 | 同一关键词对比 X / TikTok / YouTube 的热度与内容形态差异 |
| 话题事件追踪 | 搜 "新能源,EV" 追踪特定话题跨平台传播 |
| 竞品/舆情监控 | 搜品牌或产品名，看海外用户的真实讨论与爆款反馈 |
| 素材灵感采集 | 导出 CSV 做选题库与数据分析 |
| 账号内容挖掘 | TikTok 侧支持按作者作品列表下钻（userAwemeList） |
使用方法
# 基础用法：单关键词（默认最近 24 小时，按播放数降序）
python3 "$SKILL_PATH/scripts/digest.py" "AI"
# 中文关键词 / 多关键词（英文逗号分隔）
python3 "$SKILL_PATH/scripts/digest.py" "人工智能,AI agent"
# 放宽时间窗口到最近 3 天（TikTok 热门多为历史内容，建议放宽）
python3 "$SKILL_PATH/scripts/digest.py" "AI" --days 3
# 只跑指定平台
python3 "$SKILL_PATH/scripts/digest.py" "AI" --platforms tiktok
# 按发布时间排序
python3 "$SKILL_PATH/scripts/digest.py" "AI" --sort time
# 按点赞数排序 / 调整每平台返回条数（默认 5）
python3 "$SKILL_PATH/scripts/digest.py" "AI" --sort likes --top 10
# 仅导出 CSV / 不自动打开浏览器
python3 "$SKILL_PATH/scripts/digest.py" "AI" --csv-only --no-open
CSV / HTML 默认保存在 ~/Downloads/QoderOverseasTrending/。
返回结果展示规范
向用户展示结果时，必须包含以下字段：
| 字段 | 说明 |
|---|---|
| 平台 | X / TikTok / YouTube（带平台标识色） |
| 标题 | 推文/视频文案摘要，仅展示前 20 字（HTML 表格悬停看全文） |
| 作者 | 作者昵称 |
| 播放数 | 千/万简写（如 47.3w），展示在作者之后 |
| 点赞数 | 千/万简写（如 62.9w） |
| 评论数 | 同上 |
| 发布时间 | YYYY-MM-DD HH:mm |
| 链接 | 可点击跳转原文 |
平台状态需在结果前明示：某平台上游故障时优雅降级并在报告中标注，不影响其他平台结果。
- 条数约束：每个平台最多返回
--topN 条（默认 5），按--sort指标在平台组内降序；终端与 HTML 均按平台分组展示。 - 语言优先分层：中文关键词时各平台组内优先展示中文内容、英文关键词优先英文内容，组内中/英文内容不足时以其他语言兜底；层内仍按排序指标降序。
- HTML 报告支持「卡片 / 表格」双视图切换，表格视图含点赞/评论/播放/分享全字段。
- YouTube 点赞/评论数由 videoDetail 详情接口逐条补全（默认全量覆盖搜索结果 20 条，本地化计数串已解析为整数）。
参数说明
| 参数 | 说明 | 默认值 |
|---|---|---|
keywords |
关键词，中英文均可，多词英文逗号分隔（位置参数） | — |
--days |
时间窗口：最近 N 天（0=不限） | 1 |
--platforms |
平台列表：x,tiktok,youtube 任意组合 |
x,tiktok,youtube |
--sort |
排序：views / likes / comments / time |
views |
--top |
每平台最多返回条数（0=不限） | 5 |
--output-dir |
输出目录 | ~/Downloads/QoderOverseasTrending |
--api-key |
指定 RedFox API Key | — |
--csv-only |
仅生成 CSV，不生成 HTML | — |
--no-open |
不自动打开浏览器 | — |
What ships with it
10 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.
- assets/report_template.html 9.7 KB
- README.en.md 4.0 KB
- README.md 3.7 KB
- scripts/config.py 3.2 KB runs code
- scripts/digest.py 19 KB runs code
- scripts/sources/__init__.py 304 B runs code
- scripts/sources/base.py 5.0 KB runs code
- scripts/sources/tiktok_source.py 2.3 KB runs code
- scripts/sources/x_source.py 2.7 KB runs code
- scripts/sources/youtube_source.py 6.4 KB runs code
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 · 176 lines · 155 tokens per session scan A ab4d570673ae
overseas-trending-search is a skill published in the GitHub repository redfox-data/redfox-community-dsh (6 stars, last pushed yesterday), licensed MIT. It adds 155 tokens to every session and 2,619 once invoked, about $0.0008 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 2026-08-31.
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