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 technology-news-searchgit 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/technology-news-search)<a href="https://agentmods.dev/skills/netease-youdao/lobsterai/technology-news-search"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/technology-news-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/netease-youdao/lobsterai/technology-news-search"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/technology-news-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 256 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00065 | $0.03758 |
| Opus 5.5 | $0.00026 | $0.01503 |
| Sonnet 5.5 | $0.00013 | $0.00752 |
| Haiku 4.5 | $0.00006 | $0.00376 |
Grade A, and why
technology-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 1mo 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:
- technology-search — 98% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technology News Search
Real-time keyword-based search across 75 tech news sources with smart domain routing, automatic network adaptation, domain aliases, heat analysis, and translation.
Overview
This skill searches multiple technology news sources simultaneously, automatically detects technical domains from your keyword (with alias support), routes to relevant sources only, ranks results by "heat score" (based on cross-source appearance, recency, and keyword relevance), and presents them in a clean Markdown format with automatic English-to-Chinese translation.
Total Sources: 75 (18 China + 57 Global, across 9 core technical domains)
Automatic Network Adaptation: The skill silently detects network accessibility and automatically adjusts source selection:
- ✅ Global network accessible: Uses all 75 sources (China + Global)
- 🇨🇳 China-only network: Automatically uses 18 China sources only
- ⚡ Completely transparent: Detection is cached for 5 minutes, no user notification needed
News Sources by Domain:
-
General (25 sources):
- 🌍 International: TechCrunch, The Verge, Wired, Ars Technica, MIT Technology Review, VentureBeat, Hacker News
- 🇨🇳 China: 36氪, 虎嗅, IT之家, 机器之心, 量子位, 钛媒体, 掘金, InfoQ中文站, 开源中国, 博客园, SegmentFault, V2EX, 极客公园, 爱范儿, PingWest品玩, 少数派, 雷锋网, 阿里云开发者
-
Frontend/Web (14 sources):
- 🌍 Dev.to (React, Vue, Electron, JavaScript, TypeScript), Reddit (r/javascript, r/reactjs, r/vuejs, r/electronjs, r/webdev), Official Blogs (React, Vue, Electron)
- 🇨🇳 掘金 (frontend)
-
Backend (16 sources):
- 🌍 Dev.to (Python, Go, Node.js, Java, TypeScript), Reddit (r/Python, r/golang, r/node, r/java), Official Blogs (Node.js, Python, Go, Rust)
- 🇨🇳 掘金, 博客园, 阿里云开发者
- Now includes databases (MySQL, PostgreSQL, MongoDB, Redis)
-
Mobile (4 sources): Reddit (r/androiddev, r/iOSProgramming, r/FlutterDev), Android Developers Blog
-
AI/ML (11 sources):
- 🌍 VentureBeat, Dev.to (AI, Machine Learning), Reddit (r/MachineLearning, r/artificial, r/LocalLLaMA)
- 🇨🇳 机器之心, 量子位, 雷锋网
What ships with it
12 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.
- .network_cache 4 B
- references/sources.json 22 KB
- scripts/parsers/hn_parser.js 2.2 KB runs code
- scripts/parsers/rss_parser.js 6.4 KB runs code
- scripts/search_news.js 16 KB runs code
- scripts/search-news.ps1 2.1 KB runs code
- scripts/search-news.sh 1.4 KB runs code
- scripts/shared/domain_classifier.js 7.6 KB runs code
- scripts/shared/heat_calculator.js 3.7 KB runs code
- scripts/shared/network_detector.js 4.5 KB runs code
- scripts/shared/web_utils.js 3.1 KB runs code
- scripts/vendor/rss-parser.bundle.js 148 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.
- 1mo ago First seen · 302 lines · 65 tokens per session scan A 8f22f147395a
technology-search is a skill published in the GitHub repository netease-youdao/LobsterAI (6,153 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 3,758 once invoked, about $0.0003 per session on Opus 5.5. 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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