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/lgrappag/workflows-agents/advanced-type-discoverynpx skills add LgrappaG/Workflows-Agents --skill advanced-type-discoverygit clone --depth 1 https://github.com/LgrappaG/Workflows-AgentsWrote 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/lgrappag/workflows-agents/advanced-type-discovery)<a href="https://agentmods.dev/skills/lgrappag/workflows-agents/advanced-type-discovery"><img src="https://agentmods.dev/badge/skills/lgrappag/workflows-agents/advanced-type-discovery.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00012 | $0.00243 |
| Opus 5 | $0.00006 | $0.00121 |
| Sonnet 5 | $0.00002 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
advanced-type-discovery 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 6d 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
Advanced Type Discovery
Implement efficient type discovery and inspection systems
Risk Level
MEDIUM
Core Rules
- Optimize scanning
- cache results
- Test thoroughly before deploying
Response Pattern
When Using This Skill
- Implement discovery
- Validate the implementation
- Test edge cases and error conditions
- Ensure performance meets requirements
Usage Contexts
- Type scanning
- plugin systems
What NOT to Do
- Slow discovery
- missed types
- Deploy without testing
Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact
Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.
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.
- 6d ago First seen · 49 lines · 12 tokens per session scan A 7274f9180e98
advanced-type-discovery is a skill published in the GitHub repository LgrappaG/Workflows-Agents (2 stars, last pushed 4mo ago), licensed MIT. It adds 12 tokens to every session and 243 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 2026-08-31.
Other skills, from other repositories
agent-sop-author
Create (or update) and validate Agent SOPs (Standard Operating Procedures) - markdown-based workflows that guide AI agents through complex, multi-step tasks with RFC 2119 constraints.
skill-creator
Create or improve Zhin Agent skills (SKILL.md). Use when asked to add a skill, write SKILL.md, document a repeatable agent workflow, or refine skill frontmatter/keywords. Triggers: 创建技能, 写 SKILL, skill-creator, 加 skill.
xiaohongshu-finance
小红书财经投资类内容生成技能。自动生成符合小红书平台规范的专业投资理财文案， 内置违禁词规避系统、爆款标题公式。支持宏观经济、基金、股票、 债券、房产、黄金、加密货币等投资话题。对不确定信息自动搜索验证，确保数据准确。 内置 8 种文字卡片模板和 6 种数据图表（折线/柱状/饼图/环形/面积/混合）， 通过 driver.py 一键生成专业封面图。 当用户需要「写小红书」「生成小红书文案」「小红书投资内容」「财经博主文案」「生成图表」时使用。.
mspm0-ccs
Tool-neutral CLI agent rules for TI MSPM0 development with Code Composer Studio, Keil/uVision, CMake/GCC/OpenOCD, SysConfig, and DriverLib. Use when an agent needs to inspect or modify MSPM0 projects, edit .syscfg configuration, avoid generated SysConfig/build files, use DriverLib APIs, validate SysConfig output…
ioc-edit
STM32CubeMX .ioc 文件编辑技能。当用户需要修改 .ioc 配置文件时使用，包括：添加/删除引脚、配置外设（I2C/USART/TIM/ADC/GPIO等）、修改时钟树、使能/禁用中断（NVIC）、修改工程设置。触发词：ioc、cubeMX、引脚配置、外设配置、时钟、中断、NVIC、GPIO、I2C、USART、SPI、TIM、ADC、DMA、引脚、pin、添加引脚、删除引脚、配置外设。.
image-well
Search and download images from 12 APIs in parallel (Openverse, Pexels, Pixabay, Met Museum, NASA, Rijksmuseum, Wikimedia Commons, Unsplash, Smithsonian, Europeana, Iconify, Pollinations AI). Supports license filtering, presets (military, museum, stock), cached results, and bulk download with metadata sidecars.…