habit-hooks

Automated quality checks that nudge AI coding agents toward better habits

Not yet testedsource: GitHubhomepagePythonMITcommit 5603331f8c31

Python, MIT licensed. The project labels itself: ai agents, ai coding agents, ci, claude code, code quality, code review, code smells and coding agents.

habit-hooks has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
221
forks
27
open issues
38
watchers
2
size
3 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

ai-agentsai-coding-agentsciclaude-codecode-qualitycode-reviewcode-smellscoding-agentsdeveloper-toolslinterllmrefactoringstatic-analysistechnical-debt

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/habit-hooks.svg)](https://argusic.com/subject/habit-hooks)

Questions

Does habit-hooks run?
habit-hooks has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test habit-hooks?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for habit-hooks?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion