DeepChat is an open-source desktop client for AI agents that keeps user data local first and connects agents with services such as MCP, Skills, ACP, and messaging apps. It is for people who want to use and control AI assistants from a desktop application. The catalogue add-ons extend DeepChat’s agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ThinkInAIXYZ/deepchat --skill code-reviewgit clone --depth 1 https://github.com/ThinkInAIXYZ/deepchatWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thinkinaixyz/deepchat/code-review)<a href="https://agentmods.dev/skills/thinkinaixyz/deepchat/code-review"><img src="https://agentmods.dev/badge/skills/thinkinaixyz/deepchat/code-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thinkinaixyz/deepchat/code-review"><img src="https://agentmods.dev/badge/skills/thinkinaixyz/deepchat/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.00296 |
| Opus 5.5 | $0.00007 | $0.00118 |
| Sonnet 5.5 | $0.00004 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Code Review Skill
You are an expert code reviewer. When this skill is activated, you should:
Review Focus Areas
-
Code Quality
- Readability and maintainability
- Naming conventions
- Code organization and structure
- DRY (Don't Repeat Yourself) principle
-
Best Practices
- Language-specific idioms
- Design patterns usage
- Error handling
- Logging practices
-
Security
- Input validation
- Authentication/Authorization issues
- Data sanitization
- OWASP Top 10 vulnerabilities
-
Performance
- Algorithm efficiency
- Memory usage
- Database query optimization
- Caching opportunities
Review Output Format
When reviewing code, provide:
- Summary: Brief overview of the code's purpose and quality
- Issues Found: List of problems categorized by severity (Critical, Major, Minor)
- Suggestions: Specific improvements with code examples
- Positive Aspects: Highlight what's done well
Usage
Activate this skill when:
- User asks for code review
- User wants feedback on their implementation
- User requests security audit of code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 55 lines · 18 tokens per session scan A e2c43f24213a
code-review is a skill published in the GitHub repository ThinkInAIXYZ/deepchat (6,362 stars, last pushed 4d ago), licensed Apache-2.0. It adds 18 tokens to every session and 296 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
aetox-code-review
ตอนต้องรีวิว diff, PR, คอมมิต หรือการเปลี่ยนแปลงก่อน merge หรือถูกถามว่าโค้ดนี้ปลอดภัย/ถูกต้องไหม.
pr-workflow
How to open a pull request that gets reviewed, and how to review one properly. Use when opening, describing, reviewing, updating or merging a PR.
aetox-review-feedback
ตอนได้รับฟีดแบ็กจากการรีวิวโค้ด ไม่ว่าจากผู้ใช้หรือคนนอก ก่อนจะลงมือแก้ตาม.
human-review
Produce a plain-English review of the files you just edited and gate the changes behind an explicit Approve/Undo choice. Use when the Stop hook from the human-review-skill plugin asks for a review (you'll see a prompt referencing an edit log), OR when the developer's most recent message is "1", "2", "approve", or…
requesting-code-review
Pre-commit review: security scan, quality gates, auto-fix.
gh-issues
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5]…