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/securitynpx skills add subhansh-dev/agent-maxxing --skill securitygit 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 | $0.00000 | $0.00230 |
| Opus 5 | $0.00000 | $0.00115 |
| Sonnet 5 | $0.00000 | $0.00046 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
SECURITY 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 yesterday.
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
Security Policy
Reporting a Vulnerability
If you discover a security vulnerability in this project, please report it responsibly. Do NOT open a public GitHub issue for security vulnerabilities. Open a private security advisory via GitHub Security tab.
Response Timeline
- Acknowledgment: within 48 hours
- Initial assessment: within 7 days
- Fix or mitigation: depends on severity
Scope
This repository contains Markdown-based skill definitions and UI component patterns.
Skill files (.md)
- Non-executable prompt definitions
- No API keys, secrets, or credentials should be stored in skill files
- Skills are read by AI agents — never include instructions that could be exploited
Component patterns
- CSS-only patterns with no executable JavaScript
- No external dependencies or CDN links
- Safe to use in any project
Best Practices for Contributors
- Never commit API keys, tokens, or credentials
- Never add executable code inside skill Markdown files
- Never include instructions that could be used for prompt injection
- Report suspicious skill definitions that attempt to manipulate agent behavior
- Keep skills focused on their stated purpose
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.
- yesterday First seen · 34 lines · 0 tokens per session scan A 76d158d6f64d
SECURITY is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 230 tokens. 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.
Other skills, from other repositories
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
interview
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
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
Detect the project’s test stack, run the narrowest useful tests, create tests when authorized, and report coverage/gaps honestly.
verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.
build-teaql-app
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…