SDYJ Multi Agents Agent Skill
by hwfengcsA LangGraph-powered multi-agent deep research system featuring task planning, human-in-the-loop review, multi-source retrieval, evidence-grounded report generation, full tracing and reproducible evaluation.
SDYJ Multi Agents is an open-source agent skill by hwfengcs, written mainly in Python, with 50 GitHub stars and the MIT license. Its code was last updated Jul 25, 2026.
Scan summary: scanned Nov 5, 2026 at commit a7568c6. No capabilities flagged by our checks. Scan policy
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a7568c6 · Nov 5, 2026 ScannedStatic, secrets and dependency checks completed with no critical findings. BuildsIt installed from a fresh machine.
Passed. This check ran and found nothing it flags.Static code scanpassPassed. This check ran and found nothing it flags.
Passed. This check ran and found nothing it flags.Secrets scanpassPassed. This check ran and found nothing it flags.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.Dependency audit8 known vulnerabilitieswarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Warning. This check found something worth reading in the findings below. It is not proof of a problem.ManifestnonewarnWarning. This check found something worth reading in the findings below. It is not proof of a problem.
Passed. This check ran and found nothing it flags.BuildpassPassed. This check ran and found nothing it flags.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Boot & handshaken/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Network egressn/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Not applicable. This check does not apply to this kind of project, or it was not run in this scan.Reproducible (×3)n/aNot applicable. This check does not apply to this kind of project, or it was not run in this scan.
Findings (5)
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.httpcore2@2.9.1: 1 known vulnerabilityPYSEC-2026-3844
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.httpx2@2.9.1: 5 known vulnerabilitiesPYSEC-2026-3845, PYSEC-2026-3846, PYSEC-2026-3847, PYSEC-2026-3848, PYSEC-2026-3849
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.langgraph@1.2.9: 1 known vulnerabilityGHSA-3fx2-cqw9-xr3c
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.opentelemetry-api@1.9.1: 1 known vulnerabilityGHSA-xcq7-p3pf-p88h
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
Network activity
During install
files.pythonhosted.orgpypi.org
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