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 wangfe/awesome-finance-skills --skill alphaear-logic-visualizergit clone --depth 1 https://github.com/wangfe/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/wangfe/awesome-finance-skills/alphaear-logic-visualizer)<a href="https://agentmods.dev/skills/wangfe/awesome-finance-skills/alphaear-logic-visualizer"><img src="https://agentmods.dev/badge/skills/wangfe/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/wangfe/awesome-finance-skills/alphaear-logic-visualizer"><img src="https://agentmods.dev/badge/skills/wangfe/awesome-finance-skills/alphaear-logic-visualizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00024 | $0.00304 |
| Opus 5 | $0.00012 | $0.00152 |
| Sonnet 5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
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 10d 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.
This is a copy
89% identical to alphaear-logic-visualizer — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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
1 file 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.
- 10d ago First seen · 34 lines · 24 tokens per session scan A 2fabeb7734b2
AlphaEar Logic Visualizer is a skill published in the GitHub repository wangfe/awesome-finance-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 304 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to alphaear-logic-visualizer, differing in 6 lines, and is treated as a copy.
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