- Researchers who need recent community signal across multiple platforms
- AI builders tracking fast-moving tools, prompts, repositories, and product sentiment
- Operators preparing for meetings, launches, sales calls, or market scans with fresh context
Skills
last30days
Open-source agent skill for researching what people said about any topic across Reddit, X, YouTube, HN, Polymarket, GitHub, and the web in the last 30 days.
37K Stars
3.0K Forks
MIT License
mvanhorn Maintainer
2026-06-10 Verified
Overview
What is last30days?
last30days is an open-source AI agent skill that searches recent public signals across social, developer, prediction-market, and web sources, then synthesizes a grounded brief. It is designed for recency-sensitive research where upvotes, likes, comments, transcripts, odds, commits, and discussions matter more than static search results.
Multi-source recent research
last30days searches across Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web depending on available configuration.
Fast-moving topics rarely live in one source. Multi-source coverage helps agents find what communities, markets, and developers are saying now.Engagement-weighted signal
The skill emphasizes upvotes, likes, comments, transcripts, prediction-market odds, and repository activity as signals.
Engagement is imperfect, but it gives agents a useful way to prioritize what real people recently reacted to.Skill-native install path
The repository supports Claude plugin installation and Agent Skills hosts through `npx skills add mvanhorn/last30days-skill -g`.
A skill-native workflow makes recent research reusable across coding agents and agent hosts instead of living as a one-off prompt. Use cases
What last30days is built for
01
Trend research
Ask for recent reactions to a product, market, model release, open-source project, or community topic.
02
Meeting preparation
Research what a person, company, or project has been doing and discussing in the last month before a call.
03
Product discovery
Find recent complaints, praise, workflows, and buying signals from communities before building or launching.
Quick start
Get started in seconds
$
npx skills add mvanhorn/last30days-skill -g $
/plugin marketplace add mvanhorn/last30days-skill && /plugin install last30days Comparison
How it stacks up
Choose last30days when recency is the product
vs General web searchGeneral web search is better for stable canonical facts. last30days is more useful when recent social, developer, creator, and market signals matter.
FAQ
Frequently asked questions
Is last30days open source?
Yes. The GitHub repository is listed under the MIT license.
Does last30days require API keys?
The README says Reddit, Hacker News, Polymarket, and GitHub work immediately. Optional keys or auth can unlock sources such as X, YouTube, TikTok, and more.
Who should evaluate last30days?
Anyone doing recency-sensitive research for products, sales, markets, open-source projects, or fast-moving AI topics should evaluate it.
Decision brief
JSON
Should you use last30days?
- Users who only need evergreen facts from official documentation
- Teams that cannot use public social or web signals in their research workflow
- Projects that require a fully offline research process
- Verified 2026-06-10
- License: MIT
- Repo: mvanhorn/last30days-skill
- Open-source signal
Deployment
Check source
Permission surface
shell/files, memory
Decision signals
No extra signals recorded
Agent packet
Structured decision data for last30days
This packet is the compact machine-readable view agents should use before following source links or taking action.
Capabilities
agent skill, workflow, automation
Constraints
open source
Deployment
Check source
Permission surface
shell/files, memory
Recommended workflows
Browser automation, Coding agent workflow, Reusable skill workflow
Overview
What last30days does
What it is
It is a reusable skill that searches recent public sources such as Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesizes a grounded brief.
Why it matters
Recency-sensitive research is hard for agents because the useful signals are scattered across walled gardens and fast-moving communities. last30days packages that workflow into a skill.
How to evaluate it
Install the skill, ask for a topic with `/last30days`, and review the synthesized brief. Reddit, Hacker News, Polymarket, and GitHub are designed to work immediately; additional sources can be unlocked with optional keys or auth.
Facts
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Resource type skill
Category Skills
Maturity active
Difficulty Unknown
License MIT
Pricing open source
Verified 2026-06-10
Source confidence medium
Risk level elevated
Fit matrix
Where last30days fits in an agent stack
strong
Browser automation
last30days has multiple signals for browser automation, including matching tags, capabilities, category, or positioning.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong
Coding agent workflow
last30days has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong
Reusable skill workflow
last30days has multiple signals for reusable skill workflow, including matching tags, capabilities, category, or positioning.
- Run one skill end to end and check whether it produces evidence or structured output.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Evaluation and observability
last30days has at least one signal for evaluation and observability, but should be checked against a real task before adoption.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Local or private AI stack
last30days has at least one signal for local or private ai stack, but should be checked against a real task before adoption.
- Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Memory or RAG workflow
last30days has at least one signal for memory or rag workflow, but should be checked against a real task before adoption.
- Create, update, retrieve, correct, and delete memory or retrieval objects with real data.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs
What an agent should inspect
Likely inputs
- Repositories, files, issues, terminal output, and test results
- Official setup instructions and a small real workflow
Likely outputs
- Diffs, commits, explanations, test results, or review notes
- A decision on whether this resource fits the target workflow
Evidence
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
GitHub github
Repository source for code, license, issues, releases, and implementation details.
Source githubRepository source for code, license, issues, releases, and implementation details.
last30days is listed as open source.
License metadata: MITlast30days has a recorded GitHub repository: mvanhorn/last30days-skill.
Resource facts and GitHub source link.last30days is tagged with agent skill, workflow, automation capabilities.
OpenAgent capability taxonomy.- Dedicated docs link is missing.
- Repository freshness has not been recorded.
Next action
How to start evaluating last30days
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open sourceInspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open sourceInstall globally for Agent Skills hosts
Install the last30days skill globally for compatible hosts such as Codex, Cursor, Copilot, Gemini CLI, and other Agent Skills environments.
npx skills add mvanhorn/last30days-skill -gInstall in Claude Code
Use the Claude Code plugin marketplace install path described in the project README.
/plugin marketplace add mvanhorn/last30days-skill && /plugin install last30days Compare
Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
FAQ
Common questions about last30days
Is last30days open source?
Yes. The GitHub repository is listed under the MIT license.
Does last30days require API keys?
The README says Reddit, Hacker News, Polymarket, and GitHub work immediately. Optional keys or auth can unlock sources such as X, YouTube, TikTok, and more.
Who should evaluate last30days?
Anyone doing recency-sensitive research for products, sales, markets, open-source projects, or fast-moving AI topics should evaluate it.