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db-wal-recovery数据库沃尔玛恢复

Agent Skill

db-wal-recovery 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

760

周安装

32

GitHub Stars

93

下载量

266
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:db-wal-recovery(数据库沃尔玛恢复)
来源仓库:https://github.com/letta-ai/skills
仓库路径:skills/db-wal-recovery
安装命令:
npx skills add https://github.com/letta-ai/skills --skill db-wal-recovery
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/letta-ai/skills --skill db-wal-recovery

简介

db-wal-recovery 指导从损坏或加密的 SQLite WAL 文件中恢复有效数据。

  • 核心原则是提取真实存在的数据,而非虚构或猜测内容,避免信息失真。
  • 首先验证 journal_mode 是否为 WAL,并定位 main.db、.wal 和 .shm 文件位置。
  • 提供分步诊断流程,但实际恢复效果取决于文件完整性和日志一致性状态。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

SQLite WAL Recovery

This skill provides guidance for recovering data from SQLite Write-Ahead Log (WAL) files that appear corrupted, encrypted, or otherwise inaccessible.

Core Principle

Recovery means finding existing data, not generating new data. Never fabricate or guess data based on patterns. The goal is to locate and extract actual data from the source files.

Initial Assessment

Verify WAL Mode and File Presence

  1. Check if the database is in WAL mode: PRAGMA journal_mode;
  2. Identify all database-related files (typically main.db, main.db-wal, main.db-shm)
  3. Critical: If a file appears in one listing method but not another, this is a significant clue requiring investigation, not dismissal

Document Initial Observations

Record all file listings from different tools/methods. Discrepancies between tools often indicate:

  • Special characters in filenames
  • Permission issues
  • Different file encodings
  • Hidden or mounted files
  • Tool-specific behavior differences

Investigation Strategies

When Files Appear to Be Missing

If a WAL file is listed by one tool but inaccessible via another:

  1. Investigate the discrepancy thoroughly - do not dismiss it
  2. Check for special characters: ls -la | cat -A
  3. Examine permissions: ls -la, stat <filename>
  4. Try different access methods: direct path, glob patterns, hex representation
  5. Check if file is a symlink: file <filename>, readlink <filename>
  6. Examine parent directory permissions
  7. Consider if the file might be in a different mount or namespace

When Files Appear Corrupted or Encrypted

Step 1: Examine Raw File Structure

xxd <filename> | head -50
hexdump -C <filename> | head -50
  • Valid SQLite WAL files start with specific magic bytes
  • Look for recognizable patterns vs random-looking data
  • Document what you observe before concluding encryption

Step 2: Systematic Decryption Attempts

If encryption is suspected:

  1. Single-byte XOR: Try common keys (0x00-0xFF)
  2. Multi-byte XOR: Try common patterns, repeating keys
  3. Look for key hints: Check other files in the directory for encryption keys
  4. Examine headers: WAL headers may contain encryption method clues
  5. Try known SQLite encryption libraries: SQLCipher, SEE, etc.

Step 3: Check for Compression

Data may be compressed rather than encrypted:

  • Look for compression signatures (gzip: 1f 8b, zlib: 78 9c, etc.)
  • Try decompression before assuming encryption

When Database Schema Exists but Data is Missing

  1. Query existing data to understand current state
  2. Examine database pages directly with hex tools
  3. Look for data in freelist pages
  4. Check if WAL contains uncommitted transactions

Verification Strategies

Before Concluding Data is Unrecoverable

  • Investigated all tool discrepancies thoroughly
  • Tried multiple access methods for inaccessible files
  • Examined raw bytes of all relevant files
  • Attempted systematic decryption with multiple methods
  • Checked for compression
  • Looked for encryption keys in related files
  • Revisited initial observations for missed clues

Before Submitting Any Solution

  • Solution contains only data actually recovered from files
  • No data was fabricated based on patterns or guesses
  • Can trace each piece of recovered data to its source
  • If data appears to follow a pattern, verified pattern against actual file contents

Common Pitfalls to Avoid

1. Dismissing Tool Discrepancies

Wrong: "The LS tool shows the file but ls doesn't find it, so it doesn't exist."

Right: Investigate why different tools show different results - this often reveals the key to accessing the file.

2. Pattern-Based Data Fabrication

Wrong: "Records 1-5 are apple=100, banana=200... so records 6-10 must be fig=600, grape=700..."

Right: Only include data that can be traced to actual file contents. If data cannot be recovered, report that fact rather than guessing.

3. Reframing "Encrypted" as "Missing"

Wrong: "The WAL is 'encrypted' means the data is missing, so I'll generate likely values."

Right: "Encrypted" means there IS data that needs to be decrypted. Persist with decryption attempts.

4. Premature Abandonment

Wrong: Giving up after simple single-byte XOR doesn't work.

Right: Systematically try multiple decryption approaches before concluding data is unrecoverable.

5. Ignoring Initial Observations

Wrong: Getting stuck and trying new approaches without revisiting earlier clues.

Right: When stuck, return to initial observations - especially any discrepancies or anomalies noted early on.

Recovery Workflow Summary

  1. Document: Record all initial observations and file listings
  2. Verify: Confirm WAL mode and identify all database files
  3. Investigate: Thoroughly explore any discrepancies in file access
  4. Analyze: Examine raw file contents before concluding corruption/encryption
  5. Decrypt: Systematically attempt multiple decryption methods
  6. Validate: Ensure all recovered data traces to actual file contents
  7. Report: Clearly distinguish recovered data from unrecoverable data

When Recovery Fails

If data truly cannot be recovered after exhaustive attempts:

  1. Document all methods attempted
  2. Explain why each method failed
  3. Report what data IS available vs what remains unrecoverable
  4. Never substitute guessed data for unrecovered data

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.54%
按下载量换算79

Gemini CLI

24.1%
按下载量换算64

Antigravity

18.81%
按下载量换算50

windsurf

12.35%
按下载量换算33

OpenCode

6.67%
按下载量换算18

Codex

3.29%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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