agentleFS
Sign inStart free
EodHistoricalDataEodHistoricalData/eodhd-claude-skills/skills/eodhd-analyze/SKILL.md

eodhd-analyze

Skill47 starsChanged 4 months agoMITView on GitHub

Comprehensive single-company analysis using EODHD data — profile, fundamentals, price action, news sentiment, insider activity, and technicals, presented as a structured company brief. Invoke as /eodhd-analyze <ticker>.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use the company-brief skill workflow:

    line 12
  2. Distinctive:

    If the ticker format is ambiguous, resolve it (e.g., "Apple" → AAPL.US, "BMW" → BMW.XETRA).

    line 28

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Perform a comprehensive analysis of the company $ARGUMENTS using EODHD data.

Use the company-brief skill workflow:

  1. Fetch company fundamentals (profile, valuation, financials)
  2. Fetch recent price history (last 90 days)
  3. Fetch recent news with sentiment (last 10 articles)
  4. Fetch insider transactions (last 90 days)
  5. Calculate key technical indicators (RSI, SMA 50/200)

Present the results as a structured company brief with:

  • Company profile and business description
  • Valuation snapshot table (P/E, P/S, P/B, EV/EBITDA, dividend yield)
  • Financial highlights (revenue, margins, ROE, growth)
  • Price action summary with 52-week context
  • Top news headlines with sentiment
  • Insider activity summary
  • 3-5 key takeaways

If the ticker format is ambiguous, resolve it (e.g., "Apple" → AAPL.US, "BMW" → BMW.XETRA).

Include disclaimer: "This is not financial advice. Data is for informational purposes only."

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free