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 stock-screenergit 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/stock-screener)<a href="https://agentmods.dev/skills/eodhistoricaldata/eodhd-claude-skills/stock-screener"><img src="https://agentmods.dev/badge/skills/eodhistoricaldata/eodhd-claude-skills/stock-screener/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/stock-screener"><img src="https://agentmods.dev/badge/skills/eodhistoricaldata/eodhd-claude-skills/stock-screener.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 | $0.00049 | $0.01692 |
| Opus 5.5 | $0.00020 | $0.00677 |
| Sonnet 5.5 | $0.00010 | $0.00338 |
| Haiku 4.5 | $0.00005 | $0.00169 |
Grade A, and why
stock-screener 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 1mo 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: stock-screener
Purpose
Find stocks matching user-defined criteria using EODHD's screener endpoint, then enrich top results with detailed fundamentals and price data for comparison.
Trigger
Activate when the user asks for:
- Stock screening or filtering ("find stocks with P/E under 15")
- "Best dividend stocks" or "cheap growth stocks"
- Sector-specific stock lists
- Signal-based screening (new highs, oversold, etc.)
- Comparative analysis of filtered stocks
- "What should I invest in?" (screen first, then analyze)
Workflow
- Translate criteria to filters — map user language to EODHD screener JSON filters
- Run screener —
screenerendpoint with filters, sort, signals, limit - Review results — present initial list with key metrics
- Enrich top picks —
fundamentalsfor detailed data on top 5-10 results - Add price context —
eodfor recent price trends - Compile screener report
Filter Format (critical)
filters is a JSON array of [field, operation, value] triples — NOT dot-notation
(market_capitalization.gte) and NOT a JSON object. If the shape is wrong, the EODHD API
silently ignores the filter and returns unfiltered, irrelevant results.
Operations: =, !=, >, >=, <, <=, match. A JSON object is rejected with HTTP 422.
[["market_capitalization",">=",10000000000],["sector","=","Technology"]]
Sort: --sort field.direction (e.g. market_capitalization.desc, pe.asc). A bare field name is
rejected with HTTP 422 ("sort.0.direction is required").
Currency caveat (important): absolute-money fields — market_capitalization, revenue, ebitda — are
in each listing's local currency, not USD. A raw threshold leaks huge non-USD companies (e.g. a
Vietnam-listed firm at "3.88T" ₫ ≈ $150M passes >= 10B). Each result row has a currency_symbol field
indicating its currency. So:
- Filtering/sorting by an absolute-money field → scope to one market with
["exchange","=","us"](or the intended exchange) so the threshold is currency-consistent. - Multi-market screens → don't 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.
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.
- 1mo ago First seen · 148 lines · 49 tokens per session scan A 1413a6c9a2c5
stock-screener is a skill published in the GitHub repository EodHistoricalData/eodhd-claude-skills (47 stars, last pushed 5d ago), licensed MIT. It adds 49 tokens to every session and 1,692 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 2026-08-30.
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