eodhd-screen

eodhd-screen is a skill for Claude Code from EodHistoricalData/eodhd-claude-skills. It costs 52 tokens per session (1,385 once invoked), scanned A, original, MIT.

A stock screener that filters companies using EODHD financial and technical data. A stock screener is a search tool for finding shares that match conditions such as company size, valuation, dividends, sector, or exchange.

In plain words
What is it for?
Finding stocks by market capitalisation, price-to-earnings ratio, dividend yield, sector, exchange, and technical signals.
Why use it?
It turns written investment criteria into structured filters and warns about currency differences when comparing companies from different markets.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the eodhd-api plugin — 13 skills, 1 agent shipped together

Good fit Finding stocks by market capitalisation, price-to-earnings ratio, dividend yield, sector, exchange, and technical signals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eodhistoricaldata/eodhd-claude-skills/eodhd-screen
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 EodHistoricalData/eodhd-claude-skills --skill eodhd-screen
Clone the repo
git clone --depth 1 https://github.com/EodHistoricalData/eodhd-claude-skills

Made for: Claude Code.

Or install eodhd-api, the plugin that ships this one along with the rest of its 13 skills, 1 agent.

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 eodhd-screen

README.md
[![agentmods](https://agentmods.dev/badge/skills/eodhistoricaldata/eodhd-claude-skills/eodhd-screen/github.svg)](https://agentmods.dev/skills/eodhistoricaldata/eodhd-claude-skills/eodhd-screen)
Your own site
<a href="https://agentmods.dev/skills/eodhistoricaldata/eodhd-claude-skills/eodhd-screen"><img src="https://agentmods.dev/badge/skills/eodhistoricaldata/eodhd-claude-skills/eodhd-screen/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 eodhd-screen

Your own site · 80×15
<a href="https://agentmods.dev/skills/eodhistoricaldata/eodhd-claude-skills/eodhd-screen"><img src="https://agentmods.dev/badge/skills/eodhistoricaldata/eodhd-claude-skills/eodhd-screen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,385 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00052 $0.01385
Opus 5 $0.00026 $0.00692
Sonnet 5 $0.00010 $0.00277
Haiku 4.5 $0.00005 $0.00138

Measured 11d ago against content hash 53ecd44e7c30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

eodhd-screen 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 11d 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.

skills/eodhd-screen/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Screen stocks using EODHD screener based on these criteria: $ARGUMENTS

Translate the user's criteria into EODHD screener filters.

Filter format (critical): filters is a JSON array of [field, operation, value] triples, NOT dot-notation and NOT a JSON object. A JSON object is rejected with HTTP 422 ("must be an array"). Operations: =, !=, >, >=, <, <=, match.

Sort format: --sort field.direction, e.g. market_capitalization.desc or pe.asc. A bare field name (or a separate order flag) is rejected with HTTP 422 ("sort.0.direction is required").

Currency caveat (important): absolute-money fields — market_capitalization, revenue, ebitda — are reported in each listing's local currency, not normalized to USD. So a raw threshold leaks huge non-USD companies (e.g. a Vietnam-listed firm shows "3.88T" ₫ ≈ $150M but passes a >= 10B filter). Each result row carries a currency_symbol field telling you the currency. Therefore:

  • When filtering/sorting by an absolute-money field, scope to one market — add ["exchange","=","us"] (or the user's intended exchange) so the threshold is currency-consistent.
  • For multi-market screens, you cannot compare raw caps across rows — group/label by currency_symbol.
  • Ratio/percent fields (pe, pb, ps, peg, roe, roa, beta, dividend_yield) are currency-independent and safe to compare across markets.

Instrument-type noise (important — the screener has NO type filter): there is no field to restrict results to common stock. Passing ["type", ...] is rejected with HTTP 422 (filters.0.field is invalid). Two kinds of junk leak into unscoped screens, especially dividend screens:

  • OTC / foreign cross-listings — the combined ["exchange","=","us"] virtual exchange includes OTC grey-market listings (codes ending in F/Y, e.g. TCANF, RNECF) with broken dividend_yield (55–110%). Scope to a real venue instead["exchange","=","nyse"] or ["exchange","=","nasdaq"] — to drop them. (us is still fine when you only need currency consistency, not clean common stock.)
  • Preferred shares / baby bonds — these list on NYSE/NASDAQ too, carry a - in code (e.g. JPM-PD, DLR-PJ) and a coupon rate in name, and dominate high-yield screens. The API can't filter them, so post-filter the results: for a common-stock screen, drop rows whose code contains -.
  • Sanity-cap broken yields — for any dividend screen add ["dividend_yield","<=",0.25] (no real common stock yields >25%) to discard rows with corrupt data.

Common mappings (note: dividend_yield is a fraction — 0.03 = 3%):

  • "large cap" → ["market_capitalization",">=",10000000000]
  • "mid cap" → ["market_capitalization",">=",2000000000],["market_capitalization","<=",10000000000]
  • "small cap" → ["market_capitalization","<=",2000000000]
  • "high dividend" → ["dividend_yield",">=",0.03],["dividend_yield","<=",0.25] (upper cap drops broken-data OTC/preferred rows)
  • "low P/E" or "cheap" → ["pe",">",0],["pe","<",15] + --sort pe.asc
  • "tech" → ["sector","=","Technology"]
  • "healthcare" → ["sector","=","Healthcare"]
  • US stocks → ["exchange","=","nyse"] or ["exchange","=","nasdaq"] for clean common stock (avoids OTC junk); use ["exchange","=","us"] only when you need currency consistency, not a clean instrument set
  • Sector names, industry names, exchange codes as additional [field,"=",value] triples

Example: "high dividend large cap (US)" → --filters '[["dividend_yield",">=",0.03],["dividend_yield","<=",0.25],["market_capitalization",">=",10000000000],["exchange","=","nyse"]]' --sort dividend_yield.desc (then drop result rows whose code contains - — those are preferred shares, not common stock)

Use the stock-screener skill workflow:

  1. Run screener with translated filters (limit 20)
  2. Unless the user explicitly wants preferred shares/ETFs, drop result rows whose code contains - (preferred shares) before presenting — the API has no instrument-type filter to do this server-side
  3. For top 5-10 results, fetch fundamentals for deeper detail
  4. Fetch recent price data for performance context

Read the full file on GitHub · 74 lines

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. 11d ago First seen · 74 lines · 52 tokens per session scan A 53ecd44e7c30

Subscribe to this mod's changes

eodhd-screen is a skill published in the GitHub repository EodHistoricalData/eodhd-claude-skills (37 stars, last pushed 14d ago), licensed MIT. It adds 52 tokens to every session and 1,385 once invoked, about $0.0003 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 2026-08-30.

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