dartlab: Korean DART + SEC EDGAR filings as structured Python data for company analysis

by eddmpython · MCP Server · ★ 227

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How to install dartlab

claude mcp add dartlab -- dartlab mcp
codex  mcp add dartlab -- dartlab mcp

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 59/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

10-kai-analysiscompany-analysiscorporate-disclosuredartdisclosureedgarfinancefinancial-analysisfinancial-statements

Quick Facts

Stars227
Forks47
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score59/100
Open Issues3
Last Updated2026-11-07
Created2026-03-06
Platformsmcp, python
Est. Tokens~23k

About dartlab

DartLab 종목코드 하나. 기업의 전체 이야기. Korean DART + US SEC EDGAR 공시를 한 줄의 Python 으로 읽고 비교한다. 문서 · <a href="https://eddmpython.github

Compatible Skills

These tools work well together with dartlab for enhanced workflows:

  • finance_skills — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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