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Agent skill

Alphaear Deepear Lite

by ninehills in ninehills/skills

Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite.

No licenceAuto-check passed

Install Alphaear Deepear Lite

skills CLI
$ npx skills add ninehills/skills --skill alphaear-deepear-lite -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ninehills/skills alphaear-deepear-lite --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/alphaear-deepear-lite .claude/skills/alphaear-deepear-lite && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
alphaear-deepear-lite
GitHub stars
280
Used in
1 other repo
Token cost
~263 tokens
SKILL.md length
78 words
Files
2 (incl. scripts)
Skills in repo
38
Repo updated
First seen
Licence
None found

At a glance

Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite.

  • The user needs immediate insights into financial market trends
  • SKILL.md covers Overview, Capabilities, Dependencies and Testing
  • Runs Python scripts from its folder; calls python; reaches deepear.vercel.app
  • Stock performance factors

What it does

Alphaear Deepear Lite is an agent skill from ninehills/skills. Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.

Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/deepear_lite.py`).

When your agent uses it

  • The user needs immediate insights into financial market trends
  • Stock performance factors
  • Reasoning from the DeepEar Lite dashboard

Example prompts

  • “/alphaear-deepear-lite”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit f3e82a7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • deepear.vercel.app

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Alphaear Deepear Lite loads about 263 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 78 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~263

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 78 words (~263 tokens).

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

— opening of SKILL.md by ninehills
name
alphaear-deepear-lite

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in alphaear-deepear-lite of ninehills/skills.

  • SKILL.md
  • scripts/deepear_lite.py

Open the folder on GitHubat commit f3e82a7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ninehills/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Alphaear Deepear Lite next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Alphaear Deepear Lite compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Alphaear Deepear Lite this skillninehills/skills2801 repos~263Automated safety check: PassNone
Financial Analystalirezarezvani/claude-skills28k1 repos~1.8kAutomated safety check: PassMIT
SignalsPostHog/posthog40k—~4.3kAutomated safety check: PassCustom licence
Traderspy Trading Signalssickn33/agentic-awesome-skills47k1 repos~2.2kAutomated safety check: PassMIT
Startup Financial Modelingwshobson/agents40k—~1.9kAutomated safety check: PassMIT
Trader Signalruvnet/ruflo74k—~605Automated safety check: NotesMIT

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Questions about Alphaear Deepear Lite

What does Alphaear Deepear Lite do?

Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Alphaear Deepear Lite is an agent skill from ninehills/skills. Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite.

When should I use Alphaear Deepear Lite?

Alphaear Deepear Lite fits situations like: the user needs immediate insights into financial market trends; stock performance factors; reasoning from the DeepEar Lite dashboard.

How do I install Alphaear Deepear Lite in Claude Code?

Run `npx skills add ninehills/skills --skill alphaear-deepear-lite -a claude-code`. Or copy the skill folder (alphaear-deepear-lite in ninehills/skills) into .claude/skills/alphaear-deepear-lite in your project. Claude Code loads it when a task matches its description.

How do I install Alphaear Deepear Lite in Codex?

Run `npx skills add ninehills/skills --skill alphaear-deepear-lite -a codex`. Or copy the skill folder (alphaear-deepear-lite in ninehills/skills) into .agents/skills/alphaear-deepear-lite in your project. Codex loads it when a task matches its description.

Can I use Alphaear Deepear Lite in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ninehills/skills --skill alphaear-deepear-lite -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alphaear-deepear-lite, .gemini/skills/alphaear-deepear-lite, .github/skills/alphaear-deepear-lite and .opencode/skills/alphaear-deepear-lite in your project.

What does Alphaear Deepear Lite need to run?

Going by SKILL.md and its folder, Alphaear Deepear Lite needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Alphaear Deepear Lite access the network?

SKILL.md names 1 domain. In commands or code: deepear.vercel.app; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Alphaear Deepear Lite safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Alphaear Deepear Lite use?

No licence was found for Alphaear Deepear Lite or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Alphaear Deepear Lite use?

About 263 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Alphaear Deepear Lite?

Skills that share tags, products or a category with Alphaear Deepear Lite: Financial Analyst (alirezarezvani/claude-skills, 28k stars), Signals (PostHog/posthog, 40k stars), Traderspy Trading Signals (sickn33/agentic-awesome-skills, 47k stars) and Startup Financial Modeling (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Alphaear Deepear Lite?

ninehills (a GitHub user) maintains it in ninehills/skills, which has 280 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on June 22, 2026.

Source: ninehills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.