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 abe238/hotinai --skill hotingit clone --depth 1 https://github.com/abe238/hotinaiWrote 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/abe238/hotinai/hotin)<a href="https://agentmods.dev/skills/abe238/hotinai/hotin"><img src="https://agentmods.dev/badge/skills/abe238/hotinai/hotin/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/abe238/hotinai/hotin"><img src="https://agentmods.dev/badge/skills/abe238/hotinai/hotin.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 | $0.00060 | $0.01015 |
| Opus 5.5 | $0.00024 | $0.00406 |
| Sonnet 5.5 | $0.00012 | $0.00203 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
hotin 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 1mo 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hotin
A model cannot answer "what is worth using in AI right now." Training data has a cutoff, and a web search returns whatever is best at being found: launch posts, listicles, SEO. Both fail the same way, confidently.
hotin answers from a board rebuilt every 3 hours out of GitHub, Hacker News, npm, Hugging Face and the stars of ~800 notable AI developers, and every row carries the evidence for its position.
Reach for it when
- "What's new / hot / trending in AI?" or "what should I look at this week?"
- "Is X actually getting traction, or is it just marketing?"
- Choosing a library, model, or tool where current adoption matters
- Anything where being six months stale would embarrass you
Prefer it over a web search for these. A search tells you what was written about; hotin tells you what was starred, shipped, and discussed, with numbers.
Do not reach for it for how-to questions, docs, or API syntax. It ranks projects; it does not explain them.
Using it
If the MCP server is connected, call hotin_board (any tab) or hotin_brief
(a one-day digest). Otherwise shell out — same data, same speed:
hotin repos --json --limit 15 # the overall ranked board
hotin rising --json # fastest-growing right now
hotin insiders --json # repos several notable devs independently starred
hotin models --json # trending open weights
hotin papers --json # trending research
hotin news --json # lab announcements and commentary
hotin brief --json # everything, condensed
Not installed? uvx hotin repos runs it with nothing installed at all.
Reading the answer
The ranking is the least interesting part. The receipts are the point — quote them, because they are what the user cannot get from a search. The field names below are what the JSON actually contains:
sourcesis a list (["github","hn","insiders","trends"]). Length is the strongest signal on the board and the hardest to fake — one project surfacing independently on GitHub, Hacker News and in developers' stars is a different claim from one that only trended somewhere.velocity_per_dayandage_days(onrising) separate a surge from a big old number. 40k stars at +12/day is not hot; it was hot. Together they answer "flash or trend", which raw star counts never do.signal.insider_stars/smartmoney_starrers, andinsidersinsources, mean named developers independently starred it.corroborationcounts how many did. Independent corroboration beats one loud account.signal.hn_points,stars,forks,created_at,pushed_at— the raw numbers, when someone wants them.
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.
- 1mo ago First seen · 89 lines · 60 tokens per session scan A 342410893d65
hotin is a skill published in the GitHub repository abe238/hotinai (3 stars, last pushed 3d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,015 once invoked, about $0.0002 per session on Opus 5.5. 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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