Who is secchecker for?

secchecker is an open-source project built for AI developers and security engineers.

Yes — secchecker is open source under the MIT license and free to use.

What platforms does secchecker run on?

secchecker runs on the command line.

Is secchecker still maintained?

The GitHub repository shows 11 commits in the last 90 days.

What are alternatives to secchecker?

Similar projects tracked by PulseGate include agentsec-cli, aisecscan, and secscan-ai.

Who develops secchecker?

secchecker is developed by vishnu-77.

When did secchecker launch?

secchecker first shipped in 2025.

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secchecker

Name: secchecker
Author: vishnu-77

PyPIInfrastructure

secchecker is an open-source static security scanner designed for AI agents, MCP tools, and LLM applications. It identifies vulnerabilities such as prompt injection, tool poisoning, and agentic weaknesses, tagging issues according to the OWASP LLM Top 10. The tool is aimed at AI developers and security engineers seeking to secure generative AI systems.

Open SourceMITCLI

Visit PyPI

1star

1fork

5features

2025since

Overview

5 features

In the LLM eval & observability space, secchecker takes a focused approach. It focuses on detecting security vulnerabilities such as prompt injection and tool poisoning in AI agent and LLM application code. secchecker is an open-source project aimed at AI developers and security engineers. secchecker is open source under the MIT license. It ships for the command line.

It is developed by vishnu-77, and it first shipped in 2025. Development happens publicly on GitHub with 11 commits in the last 90 days. Among its 5 catalogued features are static analysis, prompt injection detection, and tool poisoning detection.

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

Static analysis
Prompt injection detection
Tool poisoning detection
Agent vulnerability scanning
OWASP LLM Top 10 tagging

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Jul · 09:19 UTC
secchecker verified against its public source
Source: PulseGate · Open

Frequently asked questions about secchecker

What is secchecker?: Secchecker focuses on detecting security vulnerabilities such as prompt injection and tool poisoning in AI agent and LLM application code. It is catalogued under LLM eval & observability on PulseGate.
Who is secchecker for?: secchecker is an open-source project built for AI developers and security engineers.
Is secchecker free?: Yes — secchecker is open source under the MIT license and free to use.
What platforms does secchecker run on?: secchecker runs on the command line.
Is secchecker still maintained?: The GitHub repository shows 11 commits in the last 90 days.
What are alternatives to secchecker?: Similar projects tracked by PulseGate include agentsec-cli, aisecscan, and secscan-ai.agentsec-cli aisecscan secscan-ai
Who develops secchecker?: secchecker is developed by vishnu-77.
When did secchecker launch?: secchecker first shipped in 2025.

At a glance

Platforms: CLI
Languages: English
Open source: Yes · ★ 1
License: MIT
Built for: AI developers and security engineers
Model: Open source
Solves: Detecting security vulnerabilities such as prompt injection and tool poisoning in AI agent and LLM application code.

Registered as

GitHub: vishnu-77/secchecker
PyPI: secchecker

Developer

vishnu-77

Solo developer

GitHub

Open source

View on GitHub

Stars: 1
Forks: 1
Open issues: 1
Last commit: 17 Jul 2026
Commits 90d: 11
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Indexed: 17 Jul 2026
Lifecycle: Alive
Last seen: 17 Jul 2026

Identity audit (12)

Slug: secchecker-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/secchecker

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