research-stocks

research-stocks is a skill for Claude Code, Codex from koala73/worldmonitor. It costs 41 tokens per session (816 once invoked), scanned A, original, AGPL-3.0.

A tool for reading current stock research, technical backtests, saved analyses, and saved backtests. A backtest evaluates a trading method against historical market data rather than live results.

In plain words
What is it for?
Use it to review a stock or watchlist, inspect saved research and backtests, and understand the dates, model limits, and risks behind an analysis.
Why use it?
It keeps research tied to source dates, limitations, and risk factors instead of presenting historical analysis as a guarantee. It is intended for named stocks or existing watchlists and analyses.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to review a stock or watchlist, inspect saved research and backtests, and understand the dates, model limits, and risks behind an analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/koala73/worldmonitor/research-stocks
About the project

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.

koala73/worldmonitor · 88,520 stars · on GitHub · worldmonitor.app

Install

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.

Any agent
npx skills add koala73/worldmonitor --skill research-stocks
Clone the repo
git clone --depth 1 https://github.com/koala73/worldmonitor

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for research-stocks

README.md
[![agentmods](https://agentmods.dev/badge/skills/koala73/worldmonitor/research-stocks/github.svg)](https://agentmods.dev/skills/koala73/worldmonitor/research-stocks)
Your own site
<a href="https://agentmods.dev/skills/koala73/worldmonitor/research-stocks"><img src="https://agentmods.dev/badge/skills/koala73/worldmonitor/research-stocks/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.

agentmods 80×15 button for research-stocks

Your own site · 80×15
<a href="https://agentmods.dev/skills/koala73/worldmonitor/research-stocks"><img src="https://agentmods.dev/badge/skills/koala73/worldmonitor/research-stocks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 816 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00816
Opus 5.5 $0.00016 $0.00326
Sonnet 5.5 $0.00008 $0.00163
Haiku 4.5 $0.00004 $0.00082

Measured 14d ago against content hash 55e5a2945f6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-stocks 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.

public/.well-known/agent-skills/research-stocks/SKILL.md · 44 lines

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.

Read it on GitHub

Changes

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.

  1. 14d ago First seen · 44 lines · 41 tokens per session scan A 55e5a2945f6b

Subscribe to this mod's changes

research-stocks 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 816 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.

Related

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.

vivekchand/clawmetry · 64 tokens

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.

LeoYeAI/openclaw-master-skills · 61 tokens

tvchart

Drive a live TradingView Lightweight Charts widget end-to-end via PyWry MCP tools — symbol, interval, indicators, markers, price lines, layouts, state.

deeleeramone/PyWry · 33 tokens

DeepEar Analysis Skill

A skill that performs financial signal analysis using the DeepEar workflow.

HKUSTDial/DeepEar · 18 tokens

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…

sophymarine/openregistry · 130 tokens

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.

sophymarine/openregistry · 0 tokens