Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kevinnft/ai-agent-skills --skill trending-repos-discoverygit clone --depth 1 https://github.com/kevinnft/ai-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kevinnft/ai-agent-skills/trending-repos-discovery)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/trending-repos-discovery"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/trending-repos-discovery/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/trending-repos-discovery"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/trending-repos-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.02725 |
| Opus 5 | $0.00016 | $0.01362 |
| Sonnet 5 | $0.00007 | $0.00545 |
| Haiku 4.5 | $0.00003 | $0.00272 |
Grade A, and why
trending-repos-discovery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trending Repos Discovery
Discover and analyze trending GitHub repositories from TrendShift and other sources. Evaluate usefulness, extract learnings, and identify valuable skills/tools for adoption.
When to Use
- User asks "apa yang trending?" or "what's trending?"
- User wants to discover new tools/libraries
- User asks about specific trending repo
- Looking for inspiration or best practices
- Evaluating whether to adopt new tools
Sources
1. TrendShift (Primary)
What it tracks:
- GitHub's most-discussed open-source projects
- Daily engagement rankings
- Real-time mentions from X/Twitter
- Discussions from Reddit and Hacker News
How to fetch: See references/trendshift-fetch-methods.md for TinyFish and GitHub API examples
2. GitHub Trending (Alternative)
URL: https://github.com/trending
Languages:
- All languages: https://github.com/trending
- Python: https://github.com/trending/python
- TypeScript: https://github.com/trending/typescript
- Rust: https://github.com/trending/rust
3. GitHub API (For Details)
See references/trendshift-fetch-methods.md for API usage examples.
Rate limit: 60 requests/hour (unauthenticated), 5000/hour (authenticated)
Analysis Workflow
Phase 1: Fetch Trending List
- Fetch from TrendShift (primary source)
- Extract repo names (owner/repo format)
- Get first 10-20 repos (manageable batch)
Phase 2: Get Repo Details
For each repo, fetch from GitHub API:
- Stars, forks, watchers
- Description
- Language
- Topics
- Created/updated dates
Batch strategy:
- Fetch 10 repos at a time
- If rate limited, wait or use cached data
Phase 3: Categorize by Usefulness
For each repo, assess:
A. Relevance Score
| Factor | Weight | Criteria |
|---|---|---|
| Stars | 30% | > 10K = high, 1K-10K = medium, < 1K = low |
| Description match | 30% | Keywords match user's interests |
| Language | 20% | User's tech stack (Python, TypeScript, Rust) |
| Recency | 10% | Updated in last 30 days |
| Topics | 10% | Relevant tags (ai, agent, skills, tools) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 400 lines · 33 tokens per session scan A b568a169ef4c
trending-repos-discovery is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,725 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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