LobsterAI is an open-source desktop AI agent that operates files, commands, browsers, documents, spreadsheets, slides, messaging channels, and scheduled jobs in a user's working environment. It supports office work, research, and custom multi-agent workflows, while catalogue add-ons extend the agent with additional skills and workflows.
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 netease-youdao/LobsterAI --skill stock-announcementsgit clone --depth 1 https://github.com/netease-youdao/LobsterAIWrote 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/netease-youdao/lobsterai/stock-announcements)<a href="https://agentmods.dev/skills/netease-youdao/lobsterai/stock-announcements"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/stock-announcements/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/netease-youdao/lobsterai/stock-announcements"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/stock-announcements.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 | $0.00079 | $0.00925 |
| Opus 5 | $0.00039 | $0.00463 |
| Sonnet 5 | $0.00016 | $0.00185 |
| Haiku 4.5 | $0.00008 | $0.00093 |
Grade A, and why
stock-announcements 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- stock-announcements — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Announcement Fetcher
获取A股上市公司的官方公告信息（真实数据），帮助投资者及时掌握重要信息披露。
真实数据保证
- 数据来源： 东方财富网（通过AkShare开源库）
- 更新频率： 实时（当日公告）
- 覆盖范围： 全部A股上市公司
- 数据质量： 官方权威数据
Dependencies
Python packages (install once):
pip install akshare pandas requests PyPDF2
When to Use This Skill
触发条件（用户提及以下任一场景时激活）：
- 查询特定公司公告 — "查看五粮液最近的公告"、"002368有什么新公告？"
- 监控特定事件 — "哪些公司今天发布了业绩预告？"
- 投资决策辅助 — "公司有利好消息吗？"
Usage
IMPORTANT: Always use the $SKILLS_ROOT environment variable to locate scripts.
基础查询
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 000858
查询最近7天
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 600519 --days 7
关键词筛选
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 600519 --keyword 业绩
JSON格式输出
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 000858 --format json
提取PDF内容并总结
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 000858 --detail
Parameters
| 参数 | 说明 | 示例 | 默认值 |
|---|---|---|---|
stock_code |
股票代码（必填） | 000001, 600000.SS | - |
--days |
最近N天 | 7 | 30 |
--format |
输出格式 | json/text | text |
--keyword |
标题关键词筛选 | 业绩 | None |
--detail |
提取PDF内容并总结 | — | false |
Workflow
Step 1: 识别股票代码
用户可能提供以下任一格式：
- 公司名称："五粮液" → 先用 web-search 查询股票代码
- Yahoo Finance格式："000858.SZ" → 提取纯数字代码
- 纯代码："000858" → 直接传递
Step 2: 执行查询
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" <股票代码> [参数]
Step 3: 解读结果
Agent 应该：
- 提取关键信息（标题、类型、日期）
- 分类汇总（业绩类、股东类、重大合同等）
- 标注重要性（🔴高/🟡中/⚪低）
- 提供简洁解读
Limitations
- 只能查询当日公告 — AkShare 的
stock_notice_report接口只返回指定日期的全部公告 - 查询速度约7-10秒 — 需遍历1000+条公告
- 中文显示乱码 — Windows PowerShell GBK编码问题，使用
--format json可规避
What ships with it
1 file 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 · 114 lines · 79 tokens per session scan A 7a3d91450d17
stock-announcements is a skill published in the GitHub repository netease-youdao/LobsterAI (6,012 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 925 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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