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 agentmods add skills/thinkinaixyz/deepchat/code-reviewnpx skills add ThinkInAIXYZ/deepchat --skill code-reviewgit clone --depth 1 https://github.com/ThinkInAIXYZ/deepchatWhat 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 | $0.00018 | $0.00296 |
| Opus 5 | $0.00009 | $0.00148 |
| Sonnet 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 2d 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.
- 2d ago First seen · 55 lines · 18 tokens per session scan A e2c43f24213a
code-review is a skill published in the GitHub repository ThinkInAIXYZ/deepchat (6,302 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 296 once invoked, about $0.0001 per session on Opus 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.
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