AI Agent Search Tool "last30days-skill" Released

An AI agent that simultaneously searches posts on Reddit and X (formerly Twitter), YouTube transcripts, and Polymarket odds, scoring them based on user engagement (upvotes, likes, real-money bets). This is the functionality offered by the open-source search engine “last30days-skill,” which has just been launched.

This skill, available on GitHub, enables AI agents to retrieve cross-platform social data that traditional search engines cannot fully cover, summarizing the results into a single briefing. The developer explains, “While Google aggregates editors, /last30days searches for people.”

Value and Problem Awareness

In today’s information environment, platforms are siloed, restricted by APIs and authentication barriers. Google Search fails to thoroughly index comments from Reddit or posts on X. While ChatGPT has a contract with Reddit, it cannot search X or TikTok. Gemini owns YouTube but lacks access to Reddit. Claude, on the other hand, does not natively access any social data.

This fragmentation is precisely the gap that last30days-skill aims to fill. By allowing users to provide API keys or browser sessions for various services, the AI agent can search over 12 isolated platforms in one go and cross-evaluate the data.

How It Works

Installation is straightforward. For Claude Code, the skill can be added as a plugin from the marketplace. For over 50 AI agent hosts like Codex, Cursor, Copilot, and Gemini CLI, it is globally installable using the npx command. With zero configuration, platforms like Reddit, Hacker News, Polymarket, and GitHub are ready to use immediately. During the first run, a wizard launches to unlock additional data sources like X, YouTube, and TikTok within 30 seconds.

Searches are conducted in parallel, and scoring is based on “the actual actions engaged by real people.” Data such as Reddit upvotes, X likes, YouTube transcripts, TikTok engagement, and Polymarket odds (backed by real money and insider information) are integrated by the AI agent to create a single, cohesive briefing.

Specific Use Cases

As an example, the developer illustrates a case of searching for a person named “Peter Steinberger.” On Google, one might only find his LinkedIn profile from 2023. However, with /last30days, users can immediately retrieve information like “joined OpenAI this month to work on Codex,” “opposes Anthropic’s third-party agent ban,” “submitted 23 PRs with an 85% merge rate,” “developing a cross-device agent control OS called LobsterOS,” and “involved in a Reddit discussion on r/ClaudeCode with 569 upvotes debating whether he is a hero or a harm.” This data is sourced from X posts, Reddit threads, YouTube transcripts, and GitHub commits in real time.

The tool can be applied to various scenarios, such as understanding the recent activities of a prospective client company, preparing for meetings by reviewing a counterpart’s recent tweets or podcast transcripts, gathering up-to-date community information about a travel destination, or researching the latest technological trends before starting a project.

Why Was It Created?

The developer states, “I built this to keep up with information in the AI field.” In industries that change daily, Reddit and X enthusiasts are often the first to catch wind of developments. Although it started as a tool to craft better prompts, it eventually grew into something more significant. It is now used to understand a company’s recent activities before sales calls, review someone’s recent tweets or podcast transcripts before meetings, or check which attractions are closed at Disney World and how the community rates Genie+ before a trip.

Comparison with Similar Tools

The last30days-skill can be categorized as a type of “AI agent integration platform.” As noted in our previous article, “What Are AI Agents? Explaining the Mechanism and Major Frameworks,” the approach of AI agents invoking multiple external tools to perform tasks is gaining traction. However, last30days-skill is unique in that it focuses on the specific use case of “search” and emphasizes cross-platform social data retrieval.

Unlike general-purpose code execution environments like E2B (Effective Executable Brain), which we covered in the past article “E2B: An AI Agent Integration Platform with 182K Stars,” last30days-skill specializes in searching “human behavior data.” By using user-provided API keys, it retrieves Reddit comments and X posts that Google does not index, allowing AI agents to evaluate them—a concept that could be described as the democratization of search.

Technical Limitations and Future Potential

It is worth noting that for this tool to function, users must provide access credentials (API keys or browser sessions) for each platform. Unlike Reddit and GitHub, which operate with zero configuration, accessing data from X, YouTube, or TikTok requires authentication with each respective service. Additionally, users must be aware of platform API limitations and usage policies.

However, the concept of AI agents being able to search across data sources siloed behind walls holds the potential to transform the future of information retrieval. According to Gartner’s hype cycle, the field of “information retrieval via AI agents” is still in its infancy, but with the release of functional tools like this, community discussions are expected to accelerate.

Editorial Perspective

Short-term Impact: In the next 3–6 months, last30days-skill is likely to gain traction among AI agent developers and product managers as a “real-time market research tool.” It could particularly resonate with those in fast-changing industries like AI, where tracking competitor trends and community sentiment quickly is essential. If this approach gains attention, similar “cross-social search agents” may soon become standard features across various LLM clients.

Long-term Outlook: Over a 1–3 year horizon, the focus will be on whether this method can establish itself as a viable alternative to traditional search engines. Currently, the search market is dominated by Google, but if AI agents become widely used to access and evaluate data across barriers, the very paradigm of search could shift. This approach could prove invaluable for business users who prioritize private community data and real-time social signals. However, challenges remain regarding the long-term sustainability of the model, given the risk of platforms tightening API access.

Questions from the Editorial Team: While the design of enabling cross-platform searches by allowing users to provide their own API keys is convenient, it raises concerns about privacy and data usage transparency. Additionally, how can the algorithm for “engagement scoring” avoid becoming a black box? These are points that the community should consider discussing further.

References

• mvanhorn/last30days-skill (GitHub) — https://github.com/mvanhorn/last30days-skill — Published on 2026-06-07
• Previous article: What Are AI Agents? Explaining the Mechanism and Major Frameworks (https://singulism.com/en/)
• Previous article: E2B: An AI Agent Integration Platform with 182K Stars (https://singulism.com/en/)