Deep Review
dyad-sh/dyad
Deep multi-agent code review run locally — a fleet of parallel finder agents reviews the diff from independent angles, then adversarial verifier agents reproduce each finding before it is reported.
Back up, analyze, and reuse ChatGPT | Claude | Codex | Cursor | DeepSeek | Qwen | Openclaw data + skills + attachments locally
MITAuto-check passed
Install Datamoat
$ npx skills add max-ng/datamoat --skill datamoat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install max-ng/datamoat datamoat --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "datamoat" agent skill from https://github.com/max-ng/datamoat/tree/main into .claude/skills/datamoat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamoat", 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.
$ npx skills add max-ng/datamoat --skill datamoat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install max-ng/datamoat datamoat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "datamoat" agent skill from https://github.com/max-ng/datamoat/tree/main into .agents/skills/datamoat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamoat", 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 max-ng/datamoat --skill datamoat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install max-ng/datamoat datamoat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "datamoat" agent skill from https://github.com/max-ng/datamoat/tree/main into .cursor/skills/datamoat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamoat", 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.
$ npx skills add max-ng/datamoat --skill datamoat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install max-ng/datamoat datamoat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "datamoat" agent skill from https://github.com/max-ng/datamoat/tree/main into .gemini/skills/datamoat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamoat", 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 max-ng/datamoat datamoatInstalls 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 max-ng/datamoat --skill datamoat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "datamoat" agent skill from https://github.com/max-ng/datamoat/tree/main into .github/skills/datamoat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamoat", 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 max-ng/datamoat --skill datamoat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install max-ng/datamoat datamoat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "datamoat" agent skill from https://github.com/max-ng/datamoat/tree/main into .opencode/skills/datamoat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datamoat", 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
datamoat- GitHub stars
- 210
- Token cost
- ~307 tokens
- SKILL.md length
- 109 words
- Files
- 109 (incl. scripts)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- MIT
At a glance
Back up, analyze, and reuse ChatGPT | Claude | Codex | Cursor | DeepSeek | Qwen | Openclaw data + skills + attachments locally
- SKILL.md covers Status and Install
- Calls bash
What it does
Datamoat is an agent skill from max-ng/datamoat. Back up, analyze, and reuse ChatGPT | Claude | Codex | Cursor | DeepSeek | Qwen | Openclaw data + skills + attachments locally
Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. The skill folder holds 113 other files, including scripts (for example `.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json` and `LICENSE-DETAILS.md`).
It works with OpenAI, DeepSeek and Qwen. The repository describes itself as: Export, back up, search, analyze, and reuse ChatGPT / Claude / Codex / Cursor / DeepSeek / Qwen data + skills + attachments locally. The licence is MIT.
Example prompts
- “/datamoat”
What it can do on your machine
Read from SKILL.md and the folder at commit 1f3caa9. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
bash
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
Datamoat loads about 307 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 109 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 passed
The automated check found no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from max-ng/datamoat at commit 1f3caa9, republished under its MIT licence (© max-ng). 109 words, ~307 tokens.
Download SKILL.mdSave it as
.claude/skills/datamoat/SKILL.md (or your agent's skills folder). This skill also uses 108 other files; get the full folder from GitHub.- name
- datamoat
- description
- Back up, analyze, and reuse ChatGPT | Claude | Codex | Cursor | DeepSeek | Qwen | Openclaw data + skills + attachments locally
Data Moat Plugin
Data Moat Plugin installs and operates DataMoat, a local desktop app that quietly backs up AI work history into an encrypted vault on the user's own machine.
This root skill entry exists for Claude skill directories. The runnable skill
package is mirrored in skills/datamoat; plugin marketplace installs use
plugins/datamoat.
Status
Run the bundled status check before installing or answering DataMoat questions:
bash skills/datamoat/scripts/datamoat-status.shInstall
Run the platform installer from the mirrored skill package:
bash skills/datamoat/scripts/install-datamoat-macos.shOn Linux:
bash skills/datamoat/scripts/install-datamoat-linux.shOn Windows PowerShell:
powershell -ExecutionPolicy Bypass -File skills/datamoat/scripts/install-datamoat-windows.ps1Never ask for or handle DataMoat unlock passwords, recovery phrases, recovery codes, or authenticator secrets in chat. The user completes unlock and recovery setup locally in the DataMoat desktop UI.
© max-ng, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 108 other files (scripts) in the repository root of max-ng/datamoat.
- SKILL.md
- .agents/plugins/marketplace.json
- .claude-plugin/marketplace.json
- .github/assets/contact-email.png
- .github/assets/datamoat-setup-flow.png
- .github/assets/readme-brand-hero.svg
- .github/assets/screenshot.png
- .gitignore
- LICENSE
- LICENSE-DETAILS.md
- LICENSE.md
- README.de.md
- README.ja.md
- README.ko.md
- README.md
- README.pt-BR.md
- … and 93 more
Open the folder on GitHubat commit 1f3caa9
Compare with similar skills
Datamoat 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 |
|---|---|---|---|---|---|---|
| Datamoat this skillmax-ng/datamoat | 210 | — | ~307 | Automated safety check: Pass | MIT | |
| Deep Reviewdyad-sh/dyad | 22k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Remember Learningsdyad-sh/dyad | 22k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~833 | Automated safety check: Pass | Apache-2.0 | |
| Markdown Paged GuideBigStrongSun/ccswitchmulti | 121 | — | ~589 | Automated safety check: Pass | MIT |
Similar skills
Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
Remember Learnings
dyad-sh/dyad
Review the current session for errors, issues, snags, and hard-won knowledge, then update the rules/ files (or AGENTS.md if no suitable rule file exists) with actionable learnings.
Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
Markdown Paged Guide
BigStrongSun/ccswitchmulti
Render Markdown manuals into polished per-page PNG images and PDF deliverables.
Vision
xiincs/claude-code-vision-skill
Call vision models (Doubao, Qwen, DeepSeek, OpenAI) to analyze images.
Related
Questions about Datamoat
What does Datamoat do?
Back up, analyze, and reuse ChatGPT | Claude | Codex | Cursor | DeepSeek | Qwen | Openclaw data + skills + attachments locally. Datamoat is an agent skill from max-ng/datamoat.
How do I install Datamoat in Claude Code?
Run `npx skills add max-ng/datamoat --skill datamoat -a claude-code`. Or copy the skill folder (the max-ng/datamoat repository) into .claude/skills/datamoat in your project. Claude Code loads it when a task matches its description.
How do I install Datamoat in Codex?
Run `npx skills add max-ng/datamoat --skill datamoat -a codex`. Or copy the skill folder (the max-ng/datamoat repository) into .agents/skills/datamoat in your project. Codex loads it when a task matches its description.
Can I use Datamoat 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 max-ng/datamoat --skill datamoat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datamoat, .gemini/skills/datamoat, .github/skills/datamoat and .opencode/skills/datamoat in your project.
What does Datamoat need to run?
Going by SKILL.md and its folder, Datamoat needs the command-line tools its instructions call (bash).
Does Datamoat 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 Datamoat safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Datamoat use?
Datamoat is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Datamoat use?
About 307 tokens (SKILL.md is roughly 1.2k 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 Datamoat?
Skills that share tags, products or a category with Datamoat: Deep Review (dyad-sh/dyad, 22k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Remember Learnings (dyad-sh/dyad, 22k stars) and Dingo Verify (MigoXLab/dingo, 757 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Datamoat?
max-ng (a GitHub user) maintains it in max-ng/datamoat, which has 210 GitHub stars. The repository was last updated on June 28, 2026.
Source: max-ng/datamoat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.