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Codepal

Analyze codebases quickly with AI-powered intelligence and insights. Use when understanding unfamiliar repos, checking quality, or generating summaries.
利用 AI 智能快速分析代码库,适用于理解陌生代码库、检查质量或生成摘要。
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概述

CodePal

A full-featured devtools toolkit for checking, validating, generating, formatting, linting, explaining, converting, diffing, previewing, and fixing code — with built-in logging, search, statistics, and data export.

Commands

CommandDescription
----------------------
check Check code and log the result; without args shows recent check entries
validate Validate code input; without args shows recent validate entries
generate Generate code from a description; without args shows recent entries
format Format code; without args shows recent format entries
lint Lint code for potential issues; without args shows recent lint entries
explain Explain a code snippet or concept; without args shows recent entries
convert Convert code between languages or formats; without args shows recent entries
template Create or apply code templates; without args shows recent entries
diff Log code differences; without args shows recent diff entries
preview Preview code output; without args shows recent preview entries
fix Record a code fix; without args shows recent fix entries
report Generate a code report; without args shows recent report entries
statsShow summary statistics across all log categories
export Export all data (json, csv, or txt)
search Search across all logged entries for a keyword
recentShow the 20 most recent entries from the activity log
statusHealth check — version, data dir, total entries, disk usage, last activity
helpShow all available commands
versionPrint version (v2.0.0)

Usage

codepal <command> [args]

Each command with arguments logs the input with a timestamp to a category-specific log file. Running a command with no arguments shows the most recent entries for that category.

Data Storage

  • Default location: ~/.local/share/codepal
  • Log files: Each command has its own log file (e.g., check.log, lint.log, generate.log)
  • History: All actions are also recorded in history.log with timestamps
  • Export formats: JSON (structured array of objects), CSV (type/time/value columns), plain text (grouped by category)

Requirements

  • Bash 4+ (strict mode: set -euo pipefail)
  • No external dependencies or API keys required
  • Standard Unix tools (date, wc, grep, du, head, tail)

When to Use

  1. Code review tracking — Use check, lint, and validate to log issues discovered during code review sessions, then search to find them later
  2. Learning unfamiliar codebases — Use explain to document your understanding of code patterns, then report to create summaries
  3. Code generation and templating — Use generate to log code generation prompts and template to track template usage
  4. Diffing and debugging — Use diff to record code changes and fix to document bug fixes, creating an audit trail
  5. Team metrics and reporting — Use stats for activity summaries, export json to feed into dashboards, and recent for quick status checks

Examples

# Check a function
codepal check "validateEmail() is missing null check"

# Generate a code snippet description
codepal generate "React hook for debounced search"

# Lint a file
codepal lint "server.js:42 — unused variable 'config'"

# Explain a concept
codepal explain "JavaScript closure in event handler"

# Record a diff
codepal diff "Refactored auth middleware to use async/await"

# Fix a bug
codepal fix "Off-by-one error in pagination logic"

# View aggregate statistics
codepal stats

# Export all logged data as CSV
codepal export csv

# Search for entries about authentication
codepal search "auth"

# Show recent activity
codepal recent

# Health check
codepal status

Output

  • Command results print to stdout
  • Entries are timestamped (YYYY-MM-DD HH:MM) and persisted to ~/.local/share/codepal/.log
  • Export files are written to ~/.local/share/codepal/export. with a byte count confirmation

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版本历史

共 2 个版本

  • v2.0.1 当前
    2026-03-29 19:00 安全 安全
  • v1.0.4
    2026-03-19 12:36

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
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