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ick

Applier of fine source code fixes since 2025

With conditionsPyPI Quality AssuranceReleased Jul 2026191.9K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — ick-0.12.0-py3-none-any.whl
v0.12.0 · released 2026-07-24 · Python >=3.11 · 13 runtime deps: click, filelock, keke, msgspec, parse-errors, platformdirs, rich, uv

Yes, if you maintain multiple repositories and want to enforce consistent checks without duplicating configuration in each one. The permissive MIT license, active maintenance, low install friction, and lack of known vulnerabilities make it safe to adopt. Best suited for teams or developers with strong opinions about code quality who want a single source of truth for rules. Not necessary if you only maintain one or two repos or rely entirely on pre-commit and CI for enforcement.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later.
  • Low install friction: pure Python wheel with no compiled dependencies.
  • Active maintenance—last commit 2026-08-12, released 2026-07-24.

License · maintenance · safety

MIT (permissive) — MIT license (permissive): you can use, modify, and distribute ick freely in commercial and private projects without restriction.

last release 2026-07-24 (21 days) · last repo commit 2026-08-12 · 4 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 191,891 downloads/mo, #9,873 on PyPI

Verify before relying

pip install ick

ick run --rules <path-to-rules-repo> <target-repo>

# Or test rules locally:
ick test-rules --rules <path-to-rules-repo>
  • Whether rules can be authored in languages other than Python and how that integration works in practice.
  • Performance characteristics when running against large numbers of repos or with very large rulesets.
  • How incremental re-running of rules based on changed inputs is configured and what inputs are tracked.
Same gist for agents: .md · .json

What it is and what it does

Ick centralizes code quality and best-practice checks that would otherwise be scattered across pre-commit hooks, CI workflows, wiki pages, and one-off scripts. Instead of wiring the same checks into every repository individually, you write rules once in a central repository and run them against any target repo you need to audit. Rules can be simple checks (exit with a status code) or include auto-fixes; they can be written in any language and run in parallel by default.

The tool is designed for teams, projects, or individual developers who maintain multiple repositories and want to enforce consistent standards across them without per-repo configuration. It supports filtering rules by tags, reproducing results locally for debugging, and tracking compliance across many repos. When best practices evolve—a new scanner ships, or a deprecated API needs removal—you update the rule once rather than in every repository.

Use it for

  • A security team publishes a rule to scan GitHub Actions workflows with a tool like zizmor across all company repos without adding it to each repo individually.
  • An ML project enforces rules about approved model licenses or dependencies across multiple experiment repositories.
  • A developer maintains hobby-horse style rules (e.g., text files must end with a newline) and applies them consistently across personal projects.
  • A platform team checks that all repos have adopted a new Python version or removed a deprecated API, reporting which repos are compliant and which need work.
  • A project runs checks before release that verify documentation is up to date, changelog is populated, and version numbers are consistent.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you maintain multiple repositories and want to enforce consistent checks without duplicating configuration in each one.

The permissive MIT license, active maintenance, low install friction, and lack of known vulnerabilities make it safe to adopt. Best suited for teams or developers with strong opinions about code quality who want a single source of truth for rules. Not necessary if you only maintain one or two repos or rely entirely on pre-commit and CI for enforcement.

Install

ick on PyPI

Before you install

Low install friction: pure Python wheel with no compiled dependencies. Active maintenance—last commit 2026-08-12, released 2026-07-24. Requires Python 3.11+.

Requires Python 3.11 or later.

License in practice

MIT license (permissive): you can use, modify, and distribute ick freely in commercial and private projects without restriction.

Quickstart

pip install ick

ick run --rules <path-to-rules-repo> <target-repo>

# Or test rules locally:
ick test-rules --rules <path-to-rules-repo>

Verify before relying

  • Whether rules can be authored in languages other than Python and how that integration works in practice.
  • Performance characteristics when running against large numbers of repos or with very large rulesets.
  • How incremental re-running of rules based on changed inputs is configured and what inputs are tracked.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
13 packages
clickfilelockkekemsgspecparse-errorsplatformdirsrichuvvmoduletomlkitmoreorlessfeedforwardpyyaml
MaintenanceActively maintained 21 days since the last release
Last repo commit
First released
Downloads191,891 / month, #9,873 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: ick-0.12.0-py3-none-any.whl

Tags

Capabilities
multi-repo code quality checkscentralized linting rulesdistributed best practices enforcementcross-repo compliance scanningversioned code rules frameworkparallel repository auditingauto-fix policy application
Topics
multi-repo-automationpolicy-as-codecompliance-scanning

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See also cdk-nag · kingfisher-bin · commit-check · lefthook · salt-lint · dotenv-linter · dbt-score · wemake-python-styleguide · commitizen · zizmor