Alphaear Deepear Lite
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.
Install
$ agentstack add skill-rkiding-awesome-finance-skills-alphaear-deepear-lite ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-rkiding-awesome-finance-skills-alphaear-deepear-lite) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.pySource & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: RKiding
- Source: RKiding/Awesome-finance-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.