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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.

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

This session only. Nothing lands on disk.

report_template_brief.md

≈350 tokens on demand. Your agent reads this file only when SKILL.md points to it.

<!-- BRIEF template = the shared header + table sections, ending at 'Trend Analysis'. The shared header/tables below are identical to report_template_detailed.md (lines 7-41). Keep them in sync; for the canonical full layout, see report_template_detailed.md. -->

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}.

<!-- Boundary marker: brief mode ends here. Do not append per-project blocks; for the detailed mode use report_template_detailed.md. -->

Source: SKILL.md on GitHub

Third-party checks

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

Provenance

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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