github-trending-analyzer SKILL.md skillA

github-trending-analyzer from dianel555/dskills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add dianel555/dskills/github-trending-analyzer@git:20260819.1e72e81

Pins git:20260819.1e72e81 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
dianel555/dskills
Path
skills/github-trending-analyzer/SKILL.md
Versions recorded
3
Latest version
git:20260819.1e72e81, committed Aug 19, 2026
First version recorded
Jul 8, 2026
Size
11,401 bytes
Repository stars
65
License
MIT

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# GitHub Trending Analyzer

A workflow protocol for tracking GitHub trending repositories with LLM-powered analysis. Fetches trending projects, enriches each with structured Chinese insights (what/analogy/help/who), classifies by themes, compares against historical snapshots, and generates reports in two modes — a compact brief (default) or a detailed report with per-project analysis (opt-in).

## Trigger Signals

- GitHub trending analysis
- Weekly tech trend report
- Repository discovery automation
- Incremental analysis refresh
- Theme-based repo categorization

## Preconditions

- HTTP access to github.com/trending (no auth required for public trending)
- LLM backend capable of JSON-structured output (for the 4-field analysis schema)
- File system access for memory cache and report output
- HTML parsing capability (regex or DOM parser)

## Strategy

Run the five-step pipeline in order.

### Step 1: Fetch trending HTML

Construct the URL with time range and optional language filter:
```
https://github.com/trending[/{language}]?since={daily|weekly|monthly}
```

Fetch with a browser User-Agent to avoid bot detection. Parse the HTML to extract:
- `name` (org/repo)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add dianel555/dskills/github-trending-analyzer@sha256:41da4da8147dd8e5

The line at the top of this page pins the label git:20260819.1e72e81, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_a3lazidujwivdoo2.svg)](https://markdownregistry.com/a/art_a3lazidujwivdoo2)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 8, 2026 and Aug 19, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
git:20260819.1e72e81 latest2026-08-19 1e72e81 11,401 BA view · diff
git:20260723.e03f92d2026-07-23 e03f92d 8,878 BA view · diff
git:20260708.cb855562026-07-08 cb85556 8,754 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11401 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

dianel555/dskills · 65 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_a3lazidujwivdoo2
GET https://markdownregistry.com/api/v1/resolve?ref=dianel555/dskills/github-trending-analyzer
GET https://markdownregistry.com/api/v1/blob/41da4da8147dd8e5800cef7a162eb3354096803bb97184cecc2dcd7686383ebe

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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