brooks-lint is a tool for DeepSeek Harness. AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
A well-documented, actively maintained AI code-review plugin with a distinctive book-grounded methodology, though its in
Code quality7
The README shows a structured skill layout (skills/_shared/source-coverage.md), versioned releases (1.5.0), and a documented benchmark, but no test suite, CI config, or source code is visible to confirm engineering rigor.
Security6
The install path includes a curl-pipe-to-bash one-liner from raw.githubusercontent.com for non-Claude platforms, which is a common but non-auditable pattern; no secrets, permissions, or network behavior are described, so this stays neutral.
Utility8
It targets a genuinely common pain point — inconsistent, ungrounded AI code review — and differentiates with cited findings, severity labels, a 0-100 health score, and six distinct modes including auto-fix sweep.
Maintenance9
Last updated 2026-08-24, not archived, at version 1.5.0 with 1418 stars and a Trendshift #2 JavaScript Repository of the Day badge, indicating active and recent development.
Docs9
The README is unusually thorough: quick start for multiple platforms, a twelve-book source table, six decay-risk definitions with diagnostic questions, a worked example, benchmark section, and translations into six languages.
Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
How popular is brooks-lint?
brooks-lint has 1,418 stars and 64 forks on GitHub, last updated 2026-08-24.
What license does brooks-lint use?
brooks-lint is distributed under the MIT license.
Is brooks-lint compatible with DeepSeek Harness?
brooks-lint is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
/10类依据
项目类型技能
功能/10类开发工具
规则置信度High
System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:agent-skills、ai-code-review、architecture-review、claude-code、claude-code-plugin、code-health、code-quality、code-review、code-smells、codex-cli-plugin、developer-tools、gemini-cli-extension、static-analysis。
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