Maintainer of this skill?
by tribgames
Open-source desktop coding agent where a lead model plans and cheaper models handle search, edits and review.
# Add to your Claude Code skills
git clone https://github.com/tribgames/mixdogLast scanned: 10/18/2026
{
"issues": [
{
"type": "npm-audit",
"message": "@huggingface/transformers: Vulnerability found",
"severity": "high"
},
{
"type": "npm-audit",
"message": "@modelcontextprotocol/sdk: MCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server",
"severity": "high"
},
{
"type": "npm-audit",
"message": "fast-uri: fast-uri vulnerable to host confusion via skipped IDN canonicalization on scheme-relative references",
"severity": "high"
},
{
"type": "npm-audit",
"message": "hono: Hono: Incomplete fix for CVE-2026-39408: `toSSG()` still writes files outside the output directory",
"severity": "medium"
},
{
"type": "npm-audit",
"message": "ip-address: ip-address: Address6.isLinkLocal() recognizes fe80::/64 rather than fe80::/10, allowing SSRF and trust-boundary bypass to on-link hosts",
"severity": "medium"
},
{
"type": "npm-audit",
"message": "proxy-addr: proxy-addr vulnerable to IP spoofing via IPv4-mapped IPv6 trust subnet",
"severity": "critical"
},
{
"type": "npm-audit",
"message": "qs: qs array-limit bypass via bracket-key comma parsing",
"severity": "medium"
},
{
"type": "npm-audit",
"message": "sharp: sharp: Vulnerabilities in libheif: GHSA-g89c-p67h-r497 and GHSA-2jg2-4ch7-h545",
"severity": "high"
},
{
"type": "npm-audit",
"message": "source-map-js: source-map-js allows event-loop denial of service through indexed source-map section offsets",
"severity": "high"
},
{
"type": "npm-audit",
"message": "undici: undici vulnerable to Denial of Service via unhandled error in WebSocket permessage-deflate decompression",
"severity": "high"
}
],
"status": "FAILED",
"scannedAt": "2026-10-18T08:34:37.568Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how mixdog compares with popular alternatives.
mixdog is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by tribgames. Open-source desktop coding agent where a lead model plans and cheaper models handle search, edits and review. It has 146 GitHub stars.
mixdog failed SkillsLLM's automated security scan, which flagged one or more high-severity issues. Review the Security Report section carefully before using it.
Clone the repository with "git clone https://github.com/tribgames/mixdog" and add it to your Claude Code skills directory (see the Installation section above).
mixdog is primarily written in JavaScript. It is open-source under tribgames on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mixdog against similar tools.
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Requires a passing catalog security scan.
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
https://github.com/user-attachments/assets/af515dc9-b0fb-4b6a-aaa1-1d82db792ed0
Download the desktop app:
| Platform | Download |
|---|---|
| Windows (x64) | mixdog-desktop-win-x64.exe |
| macOS (Apple Silicon) | mixdog-desktop-mac-arm64.dmg |
| macOS (Intel) | mixdog-desktop-mac-x64.dmg |
| Linux (x64, AppImage) | mixdog-desktop-linux-x86_64.AppImage |
| Linux (x64, .deb) | mixdog-desktop-linux-amd64.deb |
| Linux (ARM64, AppImage) | mixdog-desktop-linux-arm64.AppImage |
| Linux (ARM64, .deb) | mixdog-desktop-linux-arm64.deb |
Then sign in with a ChatGPT, Claude, Grok, or Muse Code account, or paste an API key. A five-step tutorial walks you through the rest.
[!NOTE] The Windows installer is not code-signed yet. If SmartScreen appears, choose More info → Run anyway. The Mac app is signed and notarized.
Or run it in the terminal (Node.js 22.19+ or 24+):
npm install -g mixdog
mixdog
Cursor, Antigravity (Gemini), and MiMo OAuth are off by default under Settings → Developer; using them through OAuth risks account restrictions.
mixdog exec runs one non-interactive, single-model session without personal
memory, prior sessions, skills, MCP servers, or plugins:
mixdog exec --provider openai-oauth --model gpt-5.6-sol --effort xhigh "fix the failing test"
Web search is off by default (--web-search enables it). This does not block
shell networking — headless exec is not an offline sandbox. Run
mixdog --help for the full reference.
Mixdog used fewer tokens on 87 of 89 tasks. With Claude Opus 5, it solved 2
more tasks than Claude Code at 19% lower cost. Every verdict, log, and script
is published in benchmarks/terminal-bench-2.1/,
and Context efficiency explains where the
savings come from.
Newest first. Each run links to its details, records, and caveats.
| Run | Model · trials | vs | Score | Cost | Final context | Time / trial |
|---|---|---|---|---|---|---|
| 2026-10-15 | GPT-6.1 Sol xhigh · k=1 |
Codex CLI | 77 vs 78 /89 | −55% | −68% (10.8K vs 33.6K) | 344s vs 380s |
| 2026-08-25 | GPT-5.6 Sol xhigh · k=5 |
Codex CLI | 385 vs 383 /445 | −39% | −46% (18.5K vs 34.3K) | 415s vs 437s |
| 2026-08-25 | Claude Opus 5 · k=1 |
Claude Code | 79 vs 77 /89 | −19% | −28% (27.6K vs 38.2K) | 610s vs 708s |
The 2026-10-15 run is the first full run with the
effort judge active on OpenAI routes, with web
search on for both sides. It is a single pass, so the k=5 chart above stays
the reference.
Found a bug or missing a feature? Open an issue. If Mixdog saves you tokens, a star helps others find it.
Mixdog is licensed under Apache-2.0. Third-party components retain their respective licenses; see NOTICE.md.