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/github-trending-analyzer

@1e72e81
by dianeldianel555/dskills65 stars
8

Crawl GitHub trending repositories, analyze with LLM for Chinese insights, categorize by themes, compute diffs against history, and generate Markdown reports. Default brief mode stops at trend analysis; optional detailed mode appends per-project analysis. Supports incremental gap-filling and selective re-analysis with caching.

Use this Skill: https://skilld.dev/gh/dianel555/dskills/github-trending-analyzer

This session only. Nothing lands on disk.

report_template_detailed.md

≈447 tokens on demand. Your agent reads this file only when SKILL.md points to it.

<!-- Detailed report = the full brief report (report_template_brief.md, through "Trend Analysis") FOLLOWED BY the per-project blocks below. Do NOT emit the detailed blocks without the brief header above them. -->

GitHub Trending Report - {date}

Generated: {date} Source: github.com/trending?since={since} Baseline: {baseline_date}

🔥 New Entries

Rank Project Language ⭐ Stars 📈 Today One-liner
1 org/repo Python 12.3k +500 What it does

⭐ Sustained Hot

Project Language ⭐ Stars 📈 Today Why notable
org/repo Go 8.5k +300 What makes it special

📉 Dropped Off

Project What it might mean
org/repo Hype cycle cooling

🎯 Theme Breakdown

🤖 AI/LLM (5 projects): org/repo1(+600), org/repo2(+450), ...

🛠️ Dev Tools (3 projects): org/tool1(+200), org/tool2(+150), ...

💡 Trend Analysis

{trend_insight_paragraph}

Current wave: {dominant_theme} projects surge due to {driver}. Notable shift from {previous_trend}.


📋 Project Details

{Project Name}

Stars: {total_stars} (+{today_increment}) Language: {primary_language} URL: {github_url}

这是什么

{what_description}

生活化类比

{analogy_sentence}

它能帮你做什么
  1. {help_point_1}
  2. {help_point_2}
  3. {help_point_3}
谁需要它

{who_description}


<!-- Repeat the block above for each project. In deep mode, help may carry 3 items; otherwise use the first 2. Field labels stay Chinese to match the SKILL.md 4-field analysis schema (what/analogy/help/who). -->

Source: SKILL.md on GitHub

1 warning18d3 checks · Risk SAFE
  • Gen Agent Trust Hub18d

    The skill facilitates the automated analysis of GitHub trending repositories, using an LLM to generate categorized Chinese-language reports. While the skill's operations are transparent and limit data access to public GitHub trends and local reports, it is vulnerable to indirect prompt injection. This occurs because it ingests untrusted repository descriptions from the web and processes them through an LLM without adequate boundary markers or content sanitization.

  • Socket18d

    No alerts

  • Snyk18d

    Risk: MEDIUM · 1 issue

Signed by skilld at 1e72e81. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last week.

Activeupdated last month

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