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alphaear-deepear-lite

alphaear-deepear-lite is a skill for Claude Code, Codex from RKiding/Awesome-finance-skills. It costs 46 tokens per session (226 once invoked), scanned A, original, Apache-2.0.

A tool for retrieving the latest financial signals and analyses from the DeepEar Lite dashboard. A financial signal is a reported market event or trend together with an explanation of what may be driving it.

In plain words
What is it for?
It helps review current market trends, stock-performance factors, signal titles and summaries, confidence scores, reasoning, and related source links.
Why use it?
It avoids manually checking the dashboard for new signals and their reasoning. It brings the signal summary, confidence information, and source links into one report.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 3.1krepo +6 7mo ago A scan SkillSpector: pass 46 tokens original Apache-2.0

Good fit It helps review current market trends, stock-performance factors, signal titles and summaries, confidence scores, reasoning, and related source links.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rkiding/awesome-finance-skills/alphaear-deepear-lite
View source ↗ RKiding/Awesome-finance-skills
About the project

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.

RKiding/Awesome-finance-skills · 3,100 stars · on GitHub

Install

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.

Any agent
npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite
Clone the repo
git clone --depth 1 https://github.com/RKiding/Awesome-finance-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for alphaear-deepear-lite

README.md
[![agentmods](https://agentmods.dev/badge/skills/rkiding/awesome-finance-skills/alphaear-deepear-lite/github.svg)](https://agentmods.dev/skills/rkiding/awesome-finance-skills/alphaear-deepear-lite)
Your own site
<a href="https://agentmods.dev/skills/rkiding/awesome-finance-skills/alphaear-deepear-lite"><img src="https://agentmods.dev/badge/skills/rkiding/awesome-finance-skills/alphaear-deepear-lite/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.

agentmods 80×15 button for alphaear-deepear-lite

Your own site · 80×15
<a href="https://agentmods.dev/skills/rkiding/awesome-finance-skills/alphaear-deepear-lite"><img src="https://agentmods.dev/badge/skills/rkiding/awesome-finance-skills/alphaear-deepear-lite.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00226
Opus 5.5 $0.00018 $0.00090
Sonnet 5.5 $0.00009 $0.00045
Haiku 4.5 $0.00005 $0.00023

Measured 2mo ago against content hash 032ce1e42aed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

alphaear-deepear-lite 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/deepear_lite.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/alphaear-deepear-lite/SKILL.md · 33 lines

What it actually says

DeepEar Lite Skill

Overview

Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.

Capabilities

1. Fetch Latest Financial Signals

Use scripts/deepear_lite.py via DeepEarLiteTools.

  • Fetch Signals: fetch_latest_signals()
    • Retrieves all latest signals from https://deepear.vercel.app/latest.json.
    • Returns a formatted report of signal titles, sentiment/confidence metrics, summaries, and source links.

Dependencies

  • requests, loguru
  • No local database required for this skill.

Testing

Run the test script to verify the connection and data fetching:

python scripts/deepear_lite.py
Files

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.

Changes

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.

  1. 2mo ago First seen · 33 lines · 46 tokens per session scan A 032ce1e42aed

Subscribe to this mod's changes

alphaear-deepear-lite is a skill published in the GitHub repository RKiding/Awesome-finance-skills (3,100 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 226 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.

Finance and fintechagentagent-skillsfinancesfintech
Related

alphaear-deepear-lite compared with skills from other repositories

alphaear-deepear-lite next to 6 skills from other repositories
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impact-analysisginlix-ai/LangAlphaSkill2.2ktodayApache-2.0A56Claude Code, Codex
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