SenseNova-Skills is a collection of modular skills that extend SenseNova models with office-assistant capabilities such as image generation, presentation creation, spreadsheet analysis, and research. The skills are designed for use in agent runtimes and can be combined into productivity workflows; the catalogue entries are individual skills and agents from this collection.
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 OpenSenseNova/SenseNova-Skills --skill sn-search-social-engit clone --depth 1 https://github.com/OpenSenseNova/SenseNova-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/opensensenova/sensenova-skills/sn-search-social-en)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-search-social-en"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-search-social-en/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/opensensenova/sensenova-skills/sn-search-social-en"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-search-social-en.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 | $0.00026 | $0.00893 |
| Opus 5 | $0.00013 | $0.00447 |
| Sonnet 5 | $0.00005 | $0.00179 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
sn-search-social-en 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 9d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sn-search-social-en - 英文社交平台搜索
凭证配置
API key、token 与 cookie 统一建议写在仓库根目录 .env（参考 .env.example），并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证；不要把真实密钥写入 skill payload、报告、日志或提交。
搜索 Reddit、Twitter/X、YouTube 三个英文社交平台。
可用脚本
| 脚本 | 平台 | 用途 | API 密钥 |
|---|---|---|---|
reddit_search.py |
帖子和讨论搜索 | 无需 | |
twitter_search.py |
Twitter/X | 推文搜索 | 需 TIKHUB_TOKEN |
youtube_search.py |
YouTube | 视频搜索 | 需 YOUTUBE_API_KEY |
依赖
首次运行或脚本提示缺库时，使用本技能的依赖清单安装到当前 Python 环境：
python3 -m pip install -r requirements.txt
不要在脚本内部自动安装依赖。若安装失败、网络不可用或包不可用，停止使用对应脚本并改用网页搜索，说明缺少依赖。
参数说明
reddit_search.py
python3 scripts/reddit_search.py <query> [选项]
| 参数 | 说明 | 默认值 |
|---|---|---|
query |
搜索关键词（必填） | — |
--limit, -n |
返回结果数量 | 10 |
--subreddit, -r |
限定子版块（如 python, machinelearning） |
— |
--sort |
排序方式：relevance, hot, top, new, comments |
relevance |
--time, -t |
时间范围：hour, day, week, month, year, all |
all |
python3 scripts/reddit_search.py "machine learning projects" --limit 5
python3 scripts/reddit_search.py "async python" --subreddit python --sort top --time month --limit 5
twitter_search.py
python3 scripts/twitter_search.py <query> [选项]
| 参数 | 说明 | 默认值 |
|---|---|---|
query |
搜索关键词（必填） | — |
--limit, -n |
返回结果数量 | 10 |
--token |
TikHub Token（也可通过 TIKHUB_TOKEN 环境变量设置，必填） |
— |
python3 scripts/twitter_search.py "AI agents" --limit 10
python3 scripts/twitter_search.py "LLM" --token your_tikhub_token --limit 5
youtube_search.py
python3 scripts/youtube_search.py <query> [选项]
| 参数 | 说明 | 默认值 |
|---|---|---|
query |
搜索关键词（必填） | — |
--limit, -n |
返回结果数量 | 10 |
--api-key |
YouTube API 密钥（也可通过 YOUTUBE_API_KEY 环境变量设置，必填） |
— |
--order |
排序方式：relevance, date, viewCount, rating |
relevance |
python3 scripts/youtube_search.py "transformer explained" --limit 5
python3 scripts/youtube_search.py "python tutorial" --order viewCount --limit 10
What ships with it
5 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.
- 9d ago First seen · 91 lines · 26 tokens per session scan A 53618a001ec2
sn-search-social-en is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 893 once invoked, about $0.0001 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 2026-09-03.
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