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AlphaEar Signal Tracker

AlphaEar Signal Tracker is a skill for Claude Code, Codex from wangfe/awesome-finance-skills. It costs 34 tokens per session (382 once invoked), scanned A, a copy of alphaear-signal-tracker, MIT.

A tracker for investment signals, meaning conclusions about whether market evidence supports a particular investment idea. It compares new prices and news with an existing signal and labels it strengthened, weakened, falsified or unchanged.

In plain words
What is it for?
Use it to research a signal, assess new market information and update its direction, confidence and intensity.
Why use it?
It helps keep an investment view up to date instead of leaving an old conclusion unchanged as new evidence arrives.

Skill for Claude CodeCodex

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

not rated 5repo 6mo ago A scan 34 tokens copy · 86% MIT

Good fit Use it to research a signal, assess new market information and update its direction, confidence and intensity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wangfe/awesome-finance-skills/alphaear-signal-tracker
View source ↗ wangfe/awesome-finance-skills
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 wangfe/awesome-finance-skills --skill alphaear-signal-tracker
Clone the repo
git clone --depth 1 https://github.com/wangfe/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 Signal Tracker

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangfe/awesome-finance-skills/alphaear-signal-tracker"><img src="https://agentmods.dev/badge/skills/wangfe/awesome-finance-skills/alphaear-signal-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 382 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.
Origin 86% copy Near-identical to another mod 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 $0.00034 $0.00382
Opus 5.5 $0.00014 $0.00153
Sonnet 5.5 $0.00007 $0.00076
Haiku 4.5 $0.00003 $0.00038

Measured 2mo ago against content hash 52a2fbe21b98, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AlphaEar Signal Tracker 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.

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

This is a copy

86% identical to alphaear-signal-tracker — 16 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.

skills/trading/quantitative/alphaear-signal-tracker/SKILL.md · 44 lines

What it actually says

AlphaEar Signal Tracker Skill

Overview

This skill provides logic to track and update investment signals. It assesses how new market information impacts existing signals (Strengthened, Weakened, Falsified, or Unchanged).

Capabilities

1. Track Signal Evolution (Agentic Workflow)

YOU (the Agent) are the Tracker. Use the prompts in references/PROMPTS.md.

Workflow:

  1. Research: Use FinResearcher Prompt to gather facts/price for a signal.
  2. Analyze: Use FinAnalyst Prompt to generate the initial InvestmentSignal.
  3. Track: For existing signals, use Signal Tracking Prompt to assess evolution (Strengthened/Weakened/Falsified) based on new info.

Tools:

  • Use alphaear-search and alphaear-stock skills to gather the necessary data.
  • Use scripts/fin_agent.py helper _sanitize_signal_output if needing to clean JSON.

Key Logic:

  • Input: Existing Signal State + New Information (News/Price).
  • Process:
    1. Compare new info with signal thesis.
    2. Determine impact direction (Positive/Negative/Neutral).
    3. Update confidence and intensity.
  • Output: Updated Signal.

Dependencies

  • agno (Agent framework)
  • sqlite3 (built-in)

Ensure DatabaseManager is initialized correctly.

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 · 44 lines · 34 tokens per session scan A 52a2fbe21b98

Subscribe to this mod's changes

AlphaEar Signal Tracker is a skill published in the GitHub repository wangfe/awesome-finance-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 382 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to alphaear-signal-tracker, differing in 16 lines, and is treated as a copy.

Analytics and metricsFinance and fintechISQinvestment-signalsquantitativesignal-trackingtrading/quantitative
Related

AlphaEar Signal Tracker compared with skills from other repositories

AlphaEar Signal Tracker next to 6 skills from other repositories
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