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/subhansh-dev/agent-maxxing/05-code-generatornpx skills add subhansh-dev/agent-maxxing --skill 05-code-generatorgit clone --depth 1 https://github.com/subhansh-dev/agent-maxxingWhat 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 | $0.00030 | $0.00254 |
| Opus 5 | $0.00015 | $0.00127 |
| Sonnet 5 | $0.00006 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
code-generator 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 Generator — Multi-Language Code Scaffolding
Describe what you need, get working code. Multiple languages, ready to run.
Key Features
- Function Generation — Describe it, get a complete annotated function
- Class Generation — OOP design with constructor and methods
- API Endpoints — RESTful routes and handlers
- CRUD Operations — Full Create/Read/Update/Delete code
- Test Code — Auto-generate unit tests with assertions
- Refactoring — Optimization suggestions with examples
- Language Conversion — Conversion guide between Python/JS/Go/Java
- Project Boilerplate — Quick-start project skeleton
Supported Languages
Python, JavaScript, TypeScript, Go, Java, Rust, PHP, Ruby, C#, Shell
Usage
Describe what you need in natural language. The agent generates complete, runnable code.
Every output includes:
- Language label and suggested filename
- Complete runnable code
- Inline comments
- Usage example
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 · 34 lines · 30 tokens per session scan A c88e9a456813
code-generator is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 254 once invoked, about $0.0002 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 2026-08-31.
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writing
将共享历史中的已验证事实和计算结果整理成符合受众、格式与长度约束的成稿。.
test
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verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.
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Build or change a TeaQL application in Java, Rust, Go, Swift, Python, C#/.NET, or TypeScript, including Kotlin/JVM applications that consume Java-generated libraries. Mandatory order: first draft and save a complete KSML model, then verify the client and evaluate that saved model, repair it through repeated evaluation…