tradingagents-korea-analysis

tradingagents-korea-analysis is a skill for Claude Code from malda231125/TradingAgents-KR. It costs 150 tokens per session (3,749 once invoked), scanned A, original, Apache-2.0.

A stock-analysis skill for companies listed in South Korea’s KRX markets, including KOSPI and KOSDAQ.

In plain words
What is it for?
It is for recognising Korean stock names or six-digit codes, analysing those stocks with the local repository, and saving the longer result as a Notion page.
Why use it?
It keeps Korean-stock requests separate from overseas-stock analysis and uses the specified TradingAgents-KR project for the work.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Codex; built for openclaw.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/check_self_loop_triggers.py \.

Good fit It is for recognising Korean stock names or six-digit codes, analysing those stocks with the local repository, and saving the longer result as a Notion page.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/malda231125/TradingAgents-KR
agentmods
npx agentmods add skills/malda231125/tradingagents-kr/tradingagents-korea-analysis

Made for: Claude Code.

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README.md
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Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,749 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 original 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 $0.00150 $0.03749
Opus 5.5 $0.00060 $0.01500
Sonnet 5.5 $0.00030 $0.00750
Haiku 4.5 $0.00015 $0.00375

Measured 2mo ago against content hash 0294ceae229d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tradingagents-korea-analysis 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/factcheck_notion_report.py, scripts/run_analysis_to_notion.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.openclaw/skills/tradingagents-korea-analysis/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TradingAgents Korea Analysis

Use this skill when the user asks to analyze a Korean/KRX stock using the local malda231125/TradingAgents-KR repo and wants the long result as a Notion page.

Routing boundary

  • Use this skill for Korean/KRX stocks only:
    • 6-digit Korean stock codes such as 005930, 000660
    • Korean company names such as 삼성전자, SK하이닉스, 현대차
    • requests mentioning 국내주식, 한국 주식, 코스피, 코스닥, KRX
    • common phrasing:
      • 삼성전자 국내 주식 분석해줘 → Korea
      • 하이닉스 국내주식 분석해줘 → Korea
      • 현대차 한국 주식 분석해줘 → Korea
  • Do not use this skill for US/overseas stocks:
    • tickers such as AAPL, TSLA, NVDA, SPCX
    • requests mentioning 미국 주식, 해외 주식, NASDAQ, NYSE, US stock
    • Korean names of overseas companies with 해외/미국 wording:
      • 애플 해외 주식 분석해줘 → US
      • 구글 해외 주식 분석해줘 → US
      • 테슬라 미국 주식 분석해줘 → US
    • use tradingagents-us-analysis instead
  • If the user only says “주식 분석” and the market is ambiguous, infer from ticker format first. Ask one concise market-clarifying question only if the ticker/name cannot be classified.
  • See references/routing.md for the Korea/US decision table.

What it does

  • Resolves a Korean stock name/code from the request.
  • Runs this repository’s self-loop workflow on the checked-out repo branch, normally main.
  • Uses the repo .venv, .env, and Codex CLI auth already configured in the OpenClaw container.
  • Must use the full TradingAgents workflow, not a one-shot replacement, unless the user explicitly asks for a quick packet-only draft.
  • Must use a subscription CLI provider, not direct OpenAI API-key execution.
  • Default production runs use Codex CLI. For Claude A/B or explicit user requests, use --llm-provider claude-cli --quick-model sonnet --deep-model opus-4.8 --cli-effort max.
  • Before generating a new self-loop report, the wrapper automatically runs the daily Key Risk Trigger check against the same self-loop base directory. Do not create a separate scheduled trigger-check job unless the user explicitly asks for an independent audit run.
  • Publishes the self-loop report to Notion, including the latest decision record, digest, and prior retrospective when available.
  • Surfaces concrete up/down Key Risk Triggers and a 🎯 Key Risk Trigger 일치 line when reporting trigger verification results.
  • Returns the Notion URL and a short summary.
  • Can also read a prior Notion report URL and fact-check the report's predicted signals against later actual market data.

Read the full file on GitHub · 249 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 249 lines · 150 tokens per session scan A 0294ceae229d

Subscribe to this mod's changes

tradingagents-korea-analysis is a skill published in the GitHub repository malda231125/TradingAgents-KR (8 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 150 tokens to every session and 3,749 once invoked, about $0.0006 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.

Related

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tradingagents-korea-analysis next to 6 skills from other repositories
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