LLM Agri Bot AI Agent
by mohammed97ashrafThis Chatbot helps farmers make informed decisions by leveraging the power of LLM Model from OpenAI.
LLM Agri Bot is an open-source ai agent by mohammed97ashraf, written mainly in Python, with 56 GitHub stars and the MIT license. Its code was last updated Jun 21, 2026.
Scan summary: scanned Nov 5, 2026 at commit a12d794. No capabilities flagged by our checks. Scan policy
ScannedScanned. The automated checks below ran on the commit shown. Read each line for what was and was not covered.
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a12d794 · Nov 5, 2026 ScannedStatic, secrets and dependency checks completed with no critical findings.
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.
Flagged. This check found an issue. See the findings below.Dependency audit4 known vulnerabilitiesfailFlagged. This check found an issue. See the findings below.
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.
Flagged. This check found an issue. See the findings below.BuildfailFlagged. This check found an issue. See the findings below.
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)
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Install or build failed in a clean environmentude` or `exclude`) 2. use a `src-layout` 3. explicitly set `py_modules` or `packages` with a list of names To find more information, look for "package discovery" on setuptools docs. hint: Build failures usually indicate a problem with the package or the build environment
- lowLow. Minor, or common in normal tools. Shown for information.idna@3.9.0: 1 known vulnerabilityPYSEC-2026-215
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
While running
Not run — the code wasn't started in this scan
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