hkustdial/DeepEar Analysis Skill
skills/deepear/SKILL.md
A skill that performs financial signal analysis using the DeepEar workflow.
$ install --global
skillsauthnpx skillsauth add hkustdial/deepear DeepEar Analysis SkillInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 17, 2026, 11:28 AM9.5s2 files scanned
SKILL.md
- name:
- DeepEar Analysis Skill
- description:
- A skill that performs financial signal analysis using the DeepEar workflow.
DeepEar Analysis Skill
This skill wraps the DeepEar analysis workflow, allowing you to trigger comprehensive financial signal analysis via an API.
API Endpoints
POST /analyze
Triggers the DeepEar analysis workflow.
Request Body:
{
"query": "A-share tech sector",
"sources": "all",
"wide": 10,
"depth": "auto",
"concurrency": 5,
"update_from": "20240203_110000"
}
query(optional): The user intent or topic to analyze.sources(optional): News sources ('all', 'financial', 'social', 'tech', or comma-separated). Default: 'all'.wide(optional): Number of items to fetch per source. Default: 10.depth(optional): Analysis depth ('auto' or integer). Default: 'auto'.concurrency(optional): Number of concurrent threads. Default: 5.update_from(optional): Provide arun_idto update an existing analysis with new market data/logic.
Response:
{
"job_id": "550e8400-e29b-41d4-a716-446655440000",
"status": "pending",
"submitted_at": "2024-02-04T12:00:00.000000"
}
GET /status/{job_id}
Check the progress and get the result of the analysis job.
Response (Completed):
{
"job_id": "550e8400-e29b-41d4-a716-446655440000",
"status": "completed",
"result": {
"report_path": "/path/to/DeepEar/reports/daily_report_20240204_1205.html",
"message": "Analysis completed successfully."
},
"timestamp": "2024-02-04T12:05:00.000000"
}
Usage
Run the server:
uv run skills/deepear/scripts/server.py
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