Awesome Finance Skills is a collection of add-ons that give AI agents tools for financial news, market data, sentiment analysis, forecasting, investment signals, and market-impact diagrams. It is for people who want agents to analyze stocks and financial events.
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 RKiding/Awesome-finance-skills --skill alphaear-logic-visualizergit clone --depth 1 https://github.com/RKiding/Awesome-finance-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/rkiding/awesome-finance-skills/alphaear-logic-visualizer)<a href="https://agentmods.dev/skills/rkiding/awesome-finance-skills/alphaear-logic-visualizer"><img src="https://agentmods.dev/badge/skills/rkiding/awesome-finance-skills/alphaear-logic-visualizer/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/rkiding/awesome-finance-skills/alphaear-logic-visualizer"><img src="https://agentmods.dev/badge/skills/rkiding/awesome-finance-skills/alphaear-logic-visualizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00032 | $0.00287 |
| Opus 5 | $0.00016 | $0.00143 |
| Sonnet 5 | $0.00006 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
alphaear-logic-visualizer 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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- alphaear-logic-visualizer — 100% identical, 0 lines differ
- AlphaEar Logic Visualizer — 89% identical, 6 lines differ
What it actually says
AlphaEar Logic Visualizer Skill
Overview
This skill specializes in creating visual representations of logic flows, specifically generating Draw.io XML compatible diagrams. It is useful for visualizing investment theses or signal transmission chains.
Capabilities
1. Generate Draw.io Diagrams
1. Generate Draw.io Diagrams (Agentic Workflow)
YOU (the Agent) are the Visualizer. Use the prompts in references/PROMPTS.md to generate the XML.
Workflow:
- Generate XML: Use the Draw.io XML Generation Prompt from
references/PROMPTS.mdto convert your logical chain into XML. - Save/Render: Use
scripts/visualizer.pymethodrender_drawio_to_html(xml_content, filename)to save the XML into a viewable HTML file for the user.
Example Usage (Conceptual):
- Agent Action: "I will now generate a Draw.io XML for the transmission chain..."
- Tool Call:
visualizer.render_drawio_to_html(xml_content="<mxGraphModel>...", filename="chain_visual.html")
Dependencies
- None (Standard Library for string manipulation).
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 32 lines · 32 tokens per session scan A 070e25044760
alphaear-logic-visualizer is a skill published in the GitHub repository RKiding/Awesome-finance-skills (3,000 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 287 once invoked, about $0.0002 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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