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llm-prompt-radar

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 8 Jul 2026. How this is checked

llm-prompt-radar is an open-source CLI tool and GitHub Action that scans for risky changes in LLM prompts and AI configuration files before deployment. It helps AI engineers and DevOps teams maintain prompt safety and configuration integrity in CI/CD pipelines.

Inferred · not functionally tested

Open SourceMITCLI
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Overview

5 features

Purpose: Preventing risky or unsafe changes to LLM prompts and AI configurations before they reach production.

Inferred · not functionally tested

Audience: AI engineers and DevOps teams

Inferred · not functionally tested

Functions: monitoring, workflow_automation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the AI security & guardrails space, llm-prompt-radar takes a focused approach. Inferred · not functionally tested: It focuses on preventing risky or unsafe changes to LLM prompts and AI configurations before they reach production. Inferred · not functionally tested: llm-prompt-radar is an open-source project aimed at AI engineers and DevOps teams. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line.

Behind llm-prompt-radar is Tahiram32, and it first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are prompt change detection, risk analysis, and GitHub Action integration.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Prompt change detection
  • Risk analysis
  • GitHub Action integration
  • CLI tool
  • AI configuration scanning

Topics: Inferred · not functionally tested

Tags
prompt-safetyllm-cigithub-actionai-configurationrisk-detection
AI capabilities
Text
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
github
Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

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Frequently asked questions about llm-prompt-radar

What is llm-prompt-radar?
Inferred · not functionally tested: Llm-prompt-radar focuses on preventing risky or unsafe changes to LLM prompts and AI configurations before they reach production. It is catalogued under AI security & guardrails on PulseGate.
Who should use llm-prompt-radar?
Inferred · not functionally tested: llm-prompt-radar is an open-source project built for AI engineers and DevOps teams.
Is llm-prompt-radar free?
Basis unknown · not verified: Yes — llm-prompt-radar is open source under the MIT license and free to use.
What platforms does llm-prompt-radar run on?
Basis unknown · not verified: llm-prompt-radar runs on the command line.
Is llm-prompt-radar still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 2 commits in the last 90 days.
Who develops llm-prompt-radar?
llm-prompt-radar is developed by Tahiram32.
How long has llm-prompt-radar been around?
llm-prompt-radar first shipped in 2026.
Is llm-prompt-radar open source?
Basis unknown · not verified: Yes — llm-prompt-radar is open source under the MIT license, developed on GitHub.

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