World Monitor is a real-time intelligence dashboard that combines curated news, AI-generated briefs, maps, geopolitical signals, infrastructure tracking, and financial data in one interface. It is used for monitoring global and regional events through web, desktop, and multilingual site variants. The catalogue entries are skills, an MCP server, and an instruction for working with the project.
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 koala73/worldmonitor --skill compare-macro-historygit clone --depth 1 https://github.com/koala73/worldmonitorWrote 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/koala73/worldmonitor/compare-macro-history)<a href="https://agentmods.dev/skills/koala73/worldmonitor/compare-macro-history"><img src="https://agentmods.dev/badge/skills/koala73/worldmonitor/compare-macro-history/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/koala73/worldmonitor/compare-macro-history"><img src="https://agentmods.dev/badge/skills/koala73/worldmonitor/compare-macro-history.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 | $0.00041 | $0.00726 |
| Opus 5.5 | $0.00016 | $0.00290 |
| Sonnet 5.5 | $0.00008 | $0.00145 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
compare-macro-history 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 14d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 14d ago First seen · 48 lines · 41 tokens per session scan A 510e0ce8f36c
compare-macro-history is a skill published in the GitHub repository koala73/worldmonitor (88,520 stars, last pushed today), licensed AGPL-3.0. It adds 41 tokens to every session and 726 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 2026-10-02.
Other skills, from other repositories
clawmetry-selfcheck
Read your own agent telemetry from ClawMetry (waste, progress, cost) and act on it before finishing a task. Use when ClawMetry is installed on this machine and you want to check whether you are re-reading files, spinning in loops, or burning budget.
afrexai-startup-metrics-engine
Complete startup metrics command center — from raw data to investor-ready dashboards. Covers every stage (pre-seed to Series B+), every model (SaaS, marketplace, consumer, hardware), with diagnostic frameworks, benchmark databases, and board-ready reporting.
tvchart
Drive a live TradingView Lightweight Charts widget end-to-end via PyWry MCP tools — symbol, interval, indicators, markers, price lines, layouts, state.
DeepEar Analysis Skill
A skill that performs financial signal analysis using the DeepEar workflow.
get-financials
Pull the most recent annual accounts of a known company and extract the headline financial figures: revenue / turnover, operating profit, net income, total assets, equity, cash, and (where filed) employee count. Source is the registry's filing archive, raw iXBRL / XBRL / PDF bytes. Use when the user asks 'what's the…
South Korea — OPENDART (전자공시) Lookup
A live lookup guide for OPENDART, South Korea's government electronic filing system for company disclosures. It supports company codes, stock codes, and official filings.