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slopguards

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 30 Jul 2026. How this is checked

slopguards is a Python package offering static checks targeted at the typical failure modes of AI-generated code. It can run as a standalone linter or integrate as a blocking hook inside tools like Claude Code and OpenAI Codex CLI. The library helps developers maintain code quality when working with LLM-based coding assistants.

Inferred · not functionally tested

Open SourceMITCLI
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Overview

4 features

Purpose: Detecting common failure modes and quality issues in code produced by AI coding assistants before it is committed.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: Unknown

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.

slopguards sits in PulseGate's Static analysis & linters category. Inferred · not functionally tested: It focuses on detecting common failure modes and quality issues in code produced by AI coding assistants before it is committed. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line.

It is developed by WT-MM, and it first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include static analysis, AI code linting, and failure mode detection.

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

Tasks: Inferred · not functionally tested

  • Static analysis
  • AI code linting
  • Failure mode detection
  • Pre-commit hooks

Topics: Inferred · not functionally tested

Tags
ai-code-lintingstatic-analysisllm-code-qualitypre-commit-hook
AI capabilities
Code

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropicopenai
Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Jul · 19:27 UTC
    slopguards seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about slopguards

What does slopguards do?
Inferred · not functionally tested: Slopguards focuses on detecting common failure modes and quality issues in code produced by AI coding assistants before it is committed. It is catalogued under Static analysis & linters on PulseGate.
Who is slopguards for?
Inferred · not functionally tested: slopguards is an open-source project built for developers.
Does slopguards have a free plan?
Basis unknown · not verified: Yes — slopguards is open source under the MIT license and free to use.
What platforms does slopguards run on?
Basis unknown · not verified: slopguards runs on the command line.
Is slopguards still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 14 commits in the last 90 days.
What projects are similar to slopguards?
Similar projects tracked by PulseGate include slop-guard, slopfence, and ai-slopcheck.slop-guardslopfenceai-slopcheck
Who develops slopguards?
slopguards is developed by WT-MM.
When did slopguards launch?
slopguards first shipped in 2026.

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