katichai: Context-aware, AI-assisted code review CLI tool that prevents unnecessary AI-generated code, detects

by kodehash · Agent Tool · ★ 52

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: CAUTION · quality 65/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars52
Forks5
LanguageGo
CategoryAgent Tool
Quality Score65/100
Open Issues1
Last Updated2026-06-22
Created2025-12-07
Platformscli, go
Est. Tokens~17k

About katichai

Katich AI Context-aware, AI-powered code review from your terminal. Katich AI reviews your code changes like a senior engineer — catching security vulnerabilities, architectural violations, duplicate logic, and unnecessary complexity. Works with OpenAI, Anthropic, DeepSeek, Qwen, or local Ollama models.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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