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 agentmods add skills/damimartinez/scrapeagent/github-trendingnpx skills add DamiMartinez/scrapeagent --skill github-trendinggit clone --depth 1 https://github.com/DamiMartinez/scrapeagentWhat 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 | $0.00053 | $0.00533 |
| Opus 5 | $0.00026 | $0.00267 |
| Sonnet 5 | $0.00011 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
github-trending scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
GitHub Trending Scraper
Overview
Scrapes https://github.com/trending for trending repositories.
GitHub requires JavaScript rendering — use playwright.
Parameters
language(optional): programming language, e.g., python, javascript, rust, gosince(optional): time period —daily(default),weekly,monthly
URL Construction
- All repos:
https://github.com/trending - By language:
https://github.com/trending/python - By period:
https://github.com/trending?since=weekly - Combined:
https://github.com/trending/python?since=weekly
Ask the user for filters before scraping. Use defaults if not specified.
Instructions
-
Construct the URL based on user-specified language and/or period
-
Use playwright to navigate to the URL (GitHub requires JS)
-
Wait for
.Box-rowelements to appear -
For each
article.Box-rowextract:rank: position in list (1-based index)repo:h2 atext — clean whitespace, format asowner/repourl:h2 ahref — prependhttps://github.comif relativedescription:p.col-9text — strip whitespace (may be empty)language:[itemprop="programmingLanguage"]text (may be empty)stars:a[href$="/stargazers"]text — extract number, remove commasforks:a[href$="/forks"]text — extract number, remove commasstars_today:.d-inline-block.float-sm-righttext — extract number
-
Save with columns: rank, repo, url, description, language, stars, forks, stars_today
Notes
- GitHub uses JS rendering — always use playwright, never fetch
stars_todaymay say "X stars today" or "X stars this week/month" depending onsince- Empty description is normal — save as empty string
- Typically returns 25 repos per page
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.
- 2d ago First seen · 49 lines · 53 tokens per session scan A 7d01e4e6ac54
github-trending is a skill published in the GitHub repository DamiMartinez/scrapeagent (10 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 533 once invoked, about $0.0003 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 2026-08-31.
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