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 EodHistoricalData/eodhd-claude-skills --skill eodhd-screengit clone --depth 1 https://github.com/EodHistoricalData/eodhd-claude-skillsWrote 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/eodhistoricaldata/eodhd-claude-skills/eodhd-screen)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.01385 |
| Opus 5 | $0.00026 | $0.00692 |
| Sonnet 5 | $0.00010 | $0.00277 |
| Haiku 4.5 | $0.00005 | $0.00138 |
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.
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 inF/Y, e.g.TCANF,RNECF) with brokendividend_yield(55–110%). Scope to a real venue instead —["exchange","=","nyse"]or["exchange","=","nasdaq"]— to drop them. (usis still fine when you only need currency consistency, not clean common stock.) - Preferred shares / baby bonds — these list on NYSE/NASDAQ too, carry a
-incode(e.g.JPM-PD,DLR-PJ) and a coupon rate inname, and dominate high-yield screens. The API can't filter them, so post-filter the results: for a common-stock screen, drop rows whosecodecontains-. - 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:
- Run screener with translated filters (limit 20)
- Unless the user explicitly wants preferred shares/ETFs, drop result rows whose
codecontains-(preferred shares) before presenting — the API has no instrument-type filter to do this server-side - For top 5-10 results, fetch fundamentals for deeper detail
- Fetch recent price data for performance context
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.
- 11d ago First seen · 74 lines · 52 tokens per session scan A 53ecd44e7c30
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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