Agmsg
fujibee/agmsg
Cross-agent messaging via SQLite. An agent skill from fujibee/agmsg.
Guide for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible through standard methods.
Install DB Wal Recovery
$ npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering db-wal-recovery --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/db-wal-recovery .claude/skills/db-wal-recovery && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "db-wal-recovery" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/db-wal-recovery into .claude/skills/db-wal-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "db-wal-recovery", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/db-wal-recoveryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering db-wal-recovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/db-wal-recovery .agents/skills/db-wal-recovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "db-wal-recovery" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/db-wal-recovery into .agents/skills/db-wal-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "db-wal-recovery", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering db-wal-recovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/db-wal-recovery .cursor/skills/db-wal-recovery && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "db-wal-recovery" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/db-wal-recovery into .cursor/skills/db-wal-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "db-wal-recovery", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lazyFrogLOL/Harness_Engineering.git --path skills/db-wal-recovery--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering db-wal-recovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/db-wal-recovery .gemini/skills/db-wal-recovery && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "db-wal-recovery" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/db-wal-recovery into .gemini/skills/db-wal-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "db-wal-recovery", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lazyFrogLOL/Harness_Engineering db-wal-recoveryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/db-wal-recovery .github/skills/db-wal-recovery && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "db-wal-recovery" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/db-wal-recovery into .github/skills/db-wal-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "db-wal-recovery", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering db-wal-recovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/db-wal-recovery .opencode/skills/db-wal-recovery && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "db-wal-recovery" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/db-wal-recovery into .opencode/skills/db-wal-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "db-wal-recovery", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
db-wal-recovery- GitHub stars
- 128
- Token cost
- ~1.8k tokens
- SKILL.md length
- 866 words
- Files
- 1
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- None found
At a glance
Guide for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible through standard methods.
- Works in 3 steps: Environment Discovery → File Analysis → Recovery Approaches
- Databases work in your project
- SKILL.md covers Overview, Critical Principle: Never…, Investigation Workflow and Verification Strategies, plus 3 more sections
- Calls sqlite3
What it does
DB Wal Recovery is an agent skill from lazyFrogLOL/Harness_Engineering. Guide for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible through standard methods. This skill should be used when tasks involve SQLite database recovery, WAL file analysis, encrypted database files, or discrepancies between tool outputs and filesystem access.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Databases. It works with SQLite and Bash.
When your agent uses it
- Databases work in your project
Example prompts
- “/db-wal-recovery”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Environment Discovery
- File Analysis
- Recovery Approaches
What it can do on your machine
Read from SKILL.md and the folder at commit cae3b25. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
sqlite3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
DB Wal Recovery loads about 1.8k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 866 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:34
- Look for configuration files (.env, config.json, .sqlite*, etc.)
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 866 words (~1,833 tokens).
“This skill provides systematic approaches for recovering data from SQLite Write-Ahead Log (WAL) files. WAL recovery tasks often involve files that are corrupted, encrypted, or exhibit unusual access patterns. The skill emphasizes thorough investigation over pattern-guessing and provides verification strategies…”
- name
- db-wal-recovery
Files
Just SKILL.md in skills/db-wal-recovery of lazyFrogLOL/Harness_Engineering.
Open the folder on GitHubat commit cae3b25
Compare with similar skills
DB Wal Recovery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| DB Wal Recovery this skilllazyFrogLOL/Harness_Engineering | 128 | — | ~1.8k | Automated safety check: Notes | None | |
| Agmsgfujibee/agmsg | 1.5k | — | ~11k | Automated safety check: Pass | MIT | |
| Testingar-io/ar-io-node | 127 | — | ~2.8k | Automated safety check: Notes | AGPL-3.0 | |
| Add Memory KindEverMind-AI/EverOS | 13k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| SQL Database Support for pRESTprest/prest | 4.6k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Alloc ProfileClickHouse/ClickHouse | 50k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Testing
ar-io/ar-io-node
Decision guide for testing in the ar-io-node repo — which test layer to use, how to run it, and which helpers to reach for.
Add Memory Kind
EverMind-AI/EverOS
Walks through adding a new persisted memory kind to EverOS: choose storage among Markdown, SQLite and LanceDB, pick a Markdown strategy, then wire schemas, repos and writers.
SQL Database Support for pREST
prest/prest
Guides classifying, gap-analyzing and scaffolding support for a new SQL database in pREST, from Postgres-compatible variants to entirely new dialects.
Alloc Profile
ClickHouse/ClickHouse
Analyze a jemalloc (or other) allocation profile in collapsed stack format.
Iptvnator Sqlite DB Worker
4gray/iptvnator
A skill your agent uses when changing Electron SQLite IPC, database-worker operations, request-scoped progress or cancellation, worker packaging, or runtime verification of non-EPG database work.
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Related
Categories
Questions about DB Wal Recovery
What does DB Wal Recovery do?
Guide for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible through standard methods. DB Wal Recovery is an agent skill from lazyFrogLOL/Harness_Engineering. Guide for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible through standard methods.
When should I use DB Wal Recovery?
DB Wal Recovery fits situations like: databases work in your project.
How do I install DB Wal Recovery in Claude Code?
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a claude-code`. Or copy the skill folder (skills/db-wal-recovery in lazyFrogLOL/Harness_Engineering) into .claude/skills/db-wal-recovery in your project. Claude Code loads it when a task matches its description.
How do I install DB Wal Recovery in Codex?
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a codex`. Or copy the skill folder (skills/db-wal-recovery in lazyFrogLOL/Harness_Engineering) into .agents/skills/db-wal-recovery in your project. Codex loads it when a task matches its description.
Can I use DB Wal Recovery in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lazyFrogLOL/Harness_Engineering --skill db-wal-recovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/db-wal-recovery, .gemini/skills/db-wal-recovery, .github/skills/db-wal-recovery and .opencode/skills/db-wal-recovery in your project.
What does DB Wal Recovery need to run?
Going by SKILL.md and its folder, DB Wal Recovery needs the command-line tools its instructions call (sqlite3).
Does DB Wal Recovery access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is DB Wal Recovery safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does DB Wal Recovery use?
No licence was found for DB Wal Recovery or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does DB Wal Recovery use?
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to DB Wal Recovery?
Skills that share tags, products or a category with DB Wal Recovery: Agmsg (fujibee/agmsg, 1.5k stars), Testing (ar-io/ar-io-node, 127 stars), Add Memory Kind (EverMind-AI/EverOS, 13k stars) and SQL Database Support for pREST (prest/prest, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains DB Wal Recovery?
lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.
Source: lazyFrogLOL/Harness_Engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.