arnon-hs/open-source/trading

Claude Code and agent skill by arnon-hs/open-source

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Install

npx vskill@latest install arnon-hs/open-source/trading

SKILL.md

mvanhorn/last30days-skill

![Stars](https://github.com/mvanhorn/last30days-skill/stargazers) ![Forks](https://github.com/mvanhorn/last30days-skill/network) ![Language](#) ![Score](#)

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

📊 Stats

⭐ Stars67.1k
🍴 Forks5.9k
💻 LanguagePython
📈 Score62/100
🗓️ Last push2026-09-05
🔍 Sourcegithub

🏷️ Topics

ai-prompts ai-skill bluesky claude claude-code clawhub deep-research hackernews instagram openclaw polymarket recency

🎯 Categories

Trading · AI/ML

📝 Summary

English

The last30days‑skill is an open‑source AI agent plug‑in that automatically gathers the most recent information on any subject from Reddit, X (Twitter), YouTube, Hacker News, Polymarket, and general web sources, then produces a concise, evidence‑backed summary. Designed for trading and AI/ML workflows, it streamlines real‑time research by aggregating diverse data points and delivering a grounded overview ready for decision‑making.

Русский

mvanhorn/last30days-skill — это открытый навык для AI‑агента, который за 30 дней собирает актуальные данные из Reddit, X (Twitter), YouTube, Hacker News, Polymarket и прочих веб‑источников, а затем генерирует проверенный, фактологически обоснованный синтез. Проект ориентирован на трейдеров и специалистов в области AI/ML, предоставляя быстрый доступ к комплексному обзору рынка и трендов.

中文

mvanhorn/last30days-skill:mvanhorn/last30days-skill helps research and automate market workflows.。适合用于research trading systems、backtest strategies。Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

🧭 Practical evaluation

Value: mvanhorn/last30days-skill helps research and automate market workflows.

Best use cases

  • research trading systems
  • backtest strategies
  • monitor market workflows

Integration notes: Looks feasible to evaluate, but integration should start with a small proof of concept and README check.

Production readiness: Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Quality signals

  • 25295 GitHub stars
  • 2132 forks
  • updated 2026-05-09
  • primary language: Python
  • 20 topics

Risks: No major metadata risk found, but license, security posture, and active maintainers still need final review.

🧮 Score breakdown

DimensionScore
forks83/100
stars94/100
topics100/100
outlook61/100
quality76/100
recency20/100
adoption91/100
production56/100
usefulness58/100
integration46/100
sourceTrust100/100
categoryMatchCount200/100

<sub>🔭 Discovered 2026-05-09 · View on GitHub · ← Back to Trading</sub>

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

7-day trend score
5

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