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rung-audit

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 26 Aug 2026. How this is checked

rung-audit is an MIT-licensed command-line package that evaluates observable repository evidence related to responsible AI coding-agent authority. It is intended for developers and governance teams auditing agent instructions, controls, and repository practices.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

5 features

Purpose: Assessing whether a repository provides responsible authority and governance evidence for AI coding agents.

Inferred · not functionally tested

Audience: developers and AI governance teams

Inferred · not functionally tested

Functions: monitoring

Inferred · not functionally tested

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

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

Constraint provenance is unknown; confirm requirements with the publisher.

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

rung-audit is a CLI tools & terminal project. Inferred · not functionally tested: It focuses on assessing whether a repository provides responsible authority and governance evidence for AI coding agents. Inferred · not functionally tested: It is built as an open-source project for developers and AI governance teams. Basis unknown · not verified: rung-audit is open source under the MIT license. Basis unknown · not verified: rung-audit is available on the command line, and it can be self-hosted.

It is developed by Edoworks, and it first shipped in 2026. Development happens publicly on GitHub with 25 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include repository auditing, authority assessment, and AI agent governance.

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

Tasks: Inferred · not functionally tested

  • Repository auditing
  • Authority assessment
  • AI agent governance
  • Agents.md analysis
  • CLI workflow

Topics: Inferred · not functionally tested

Tags
ai-agent-governancerepository-auditingagents-mdresponsible-coding-agents

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
github
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed26 Aug · 01:41 UTC
    rung-audit seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about rung-audit

What does rung-audit do?
Inferred · not functionally tested: Rung-audit focuses on assessing whether a repository provides responsible authority and governance evidence for AI coding agents. It is catalogued under CLI tools & terminal on PulseGate.
Who is rung-audit for?
Inferred · not functionally tested: rung-audit is an open-source project built for developers and AI governance teams.
Does rung-audit have a free plan?
Basis unknown · not verified: Yes — rung-audit is open source under the MIT license and free to use.
What platforms does rung-audit run on?
Basis unknown · not verified: rung-audit runs on the command line. It can also be self-hosted.
Is rung-audit still active?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 25 commits in the last 90 days.
Who makes rung-audit?
rung-audit is developed by Edoworks.
When did rung-audit launch?
rung-audit first shipped in 2026.
Is rung-audit open source?
Basis unknown · not verified: Yes — rung-audit is open source under the MIT license, developed on GitHub.

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