Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Last30days Skill is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.
Strongest overall
Last30days Skill
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Last30days Skill
Best first install candidate based on install readiness and adoption.
Freshest repo
Modsearch
Most recent maintenance signal among this shortlist.
| Signal | Modsearch A CLI toolkit that turns search queries into structured web evidence (JSON), designed to be called as an Agent Skill from Claude Code, Codex, Cursor, and similar runtimes. | DeepResearch Tongyi Deep Research, the Leading Open-source Deep Research Agent | Deep Research An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic. | Last30days Skill Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent. |
|---|---|---|---|---|
| Quality | 72/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 71/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 25 stars Verified outcomes are shown on each skill page | 20K stars Verified outcomes are shown on each skill page | 19K stars Verified outcomes are shown on each skill page | 54K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 2, 2026 | Feb 27, 2026 | Apr 11, 2026 | Jul 25, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | TypeScript, Claude Code, OpenAI Agents, Cursor | Python, Research Agent, Claude Code | TypeScript, Research Agent, Claude Code, OpenAI Agents | Python, Claude Code, Codex, Cursor, Agent Skills |
| Warnings | Low GitHub adoption signal · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add liustack/modsearch | $ npx skills add Alibaba-NLP/DeepResearch | $ npx skills add dzhng/deep-research | $ npx skills add mvanhorn/last30days-skill -g |