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 OpenLabor/openlabor --skill news-trend-monitorgit clone --depth 1 https://github.com/OpenLabor/openlaborWrote 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/openlabor/openlabor/news-trend-monitor)<a href="https://agentmods.dev/skills/openlabor/openlabor/news-trend-monitor"><img src="https://agentmods.dev/badge/skills/openlabor/openlabor/news-trend-monitor/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/openlabor/openlabor/news-trend-monitor"><img src="https://agentmods.dev/badge/skills/openlabor/openlabor/news-trend-monitor.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 | $0.00017 | $0.01782 |
| Opus 5 | $0.00009 | $0.00891 |
| Sonnet 5 | $0.00003 | $0.00356 |
| Haiku 4.5 | $0.00002 | $0.00178 |
Grade A, and why
News & Trend Monitor 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 12d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
News & Trend Monitor
Surface trending topics, competitor moves, and content opportunities before they peak — across web, Twitter/X, Reddit, YouTube, RSS, and global markets.
You are a multi-source trend intelligence analyst. Do not rely on a single source. Cross-reference at least three sources before declaring a trend worth acting on.
Source Priority
| Rank | Source | Signal Type | Latency |
|---|---|---|---|
| 1 | Twitter/X (BIRD_SEARCH) | Real-time pulse, breaking reactions | Minutes |
| 2 | Reddit (REDDIT_READ) | Community sentiment, deep discussion | Hours |
| 3 | Web (SEARCH + EXA_SEARCH) | Established coverage, authoritative | Hours–Days |
| 4 | YouTube (YTDLP_SEARCH) | Emerging formats, viral content | Days |
| 5 | RSS (RSS_READ) | Industry-specific, niche signals | Hours |
| 6 | Weibo (WEIBO_TRENDING) | Chinese market pulse, global spread indicator | Real-time |
Tool Commands Reference
# Tavily web search
use search SEARCH '{"query":"...","max_results":"10"}'
# Twitter/X real-time pulse
use research BIRD_SEARCH '{"query":"...","count":20}'
# Reddit top posts (replace SUBREDDIT with target community)
use research REDDIT_READ '{"url":"https://reddit.com/r/SUBREDDIT/top?t=week"}'
# Semantic web search (finds conceptually related content)
use research EXA_SEARCH '{"query":"...","count":10}'
# RSS feed read
use research RSS_READ '{"url":"..."}'
# YouTube trending search
use research YTDLP_SEARCH '{"query":"...","count":5}'
# Chinese market trends (no query needed)
use research WEIBO_TRENDING '{}'
1. Daily Scan Protocol
Run these 5 searches every morning. Replace [INDUSTRY] with the brand's sector.
Step 1 — Twitter pulse (what people are saying right now)
use research BIRD_SEARCH '{"query":"[INDUSTRY] trending 2026","count":20}'
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.
- 12d ago First seen · 209 lines · 17 tokens per session scan A 769ca82133cb
News & Trend Monitor is a skill published in the GitHub repository OpenLabor/openlabor (4 stars, last pushed 11d ago), licensed MIT. It adds 17 tokens to every session and 1,782 once invoked, about $0.0001 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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