Kernel Analysis Vphone600

CommunityPopular

Lakr233

kernel-analysis-vphone600

Analyze vphone600 kernel artifacts using the local symbol database and XNU source tree. Use when working on kernel reverse engineering, address-to-symbol lookup, release-vs-research kernel comparison, or patch analysis for vphone600 variants in this repository.

Overview

Publisher	Lakr233
Repository	`vphone-cli`
Skill name	`kernel-analysis-vphone600`
Stars	15.2K
Forks	1.8K
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Lakr233 on GitHub. Read the source before you install it.

Installation

Install the Kernel Analysis Vphone600 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Lakr233/vphone-cli/tree/main/Skills/kernel-analysis-vphone600
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Lakr233/vphone-cli.git /tmp/vphone-cli
mkdir -p .claude/skills
cp -r /tmp/vphone-cli/Skills/kernel-analysis-vphone600 .claude/skills/kernel-analysis-vphone600

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kernel Analysis Vphone600 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kernel Analysis Vphone600 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kernel Analysis Vphone600 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Kernel Analysis Vphone600

Use the local Research/KernelSymbols dataset as the first source of truth for symbol lookup. Use Research/Reference/xnu as the source-level reference for semantics and structure.

Required Paths

Research/KernelSymbols/kernel_symbols.db
Research/KernelSymbols/kernel_index.tsv (plain-text kernel_name → json_path index with json_sha256)
Research/KernelSymbols/json/ — the recovered symbol datasets:
- kernelcache.release.vphone600.bin.symbols.json
- kernelcache.research.vphone600.bin.symbols.json
Research/Reference/xnu

The json_path column in both the database and kernel_index.tsv records the absolute path from symbolication time and may not match this checkout; resolve the JSON files under Research/KernelSymbols/json/ instead.

If Research/Reference/xnu is missing, create it with a shallow clone:

bash
mkdir -p Research/Reference
git clone --depth 1 https://github.com/apple-oss-distributions/xnu.git Research/Reference/xnu

Workflow

Confirm scope is vphone600 only.
Query kernel_symbols.db to select release or research dataset by name.
Load the linked JSON symbol file and perform symbol/address lookups.
Cross-reference candidate code paths in Research/Reference/xnu.
Report findings with explicit kernel name, symbol path, and address.

Output Rules

Always include which kernel was used: kernelcache.release.vphone600 or kernelcache.research.vphone600.
Always include exact symbol name and address when available.
Always distinguish fact from inference when mapping symbols to XNU behavior.
Avoid claiming coverage outside vphone600 unless explicitly requested.

References

Read references/kernel-info-queries.md for reusable SQL and shell query snippets.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
references/kernel-info-queries.md1 KB

Frequently asked questions

What does the Kernel Analysis Vphone600 AI skill do?

Why use Kernel Analysis Vphone600 on TypingMind?

Because you install it once and use it with any model. Kernel Analysis Vphone600 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kernel Analysis Vphone600 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lakr233/vphone-cli/tree/main/Skills/kernel-analysis-vphone600. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kernel Analysis Vphone600?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kernel Analysis Vphone600?

As many as you like. As long as a model supports skills, you can use Kernel Analysis Vphone600 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kernel Analysis Vphone600 AI skill free?

Yes. It is published on GitHub by Lakr233 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Kernel Analysis Vphone600

Required Paths

Workflow

Output Rules

References

Bundled files

Frequently asked questions

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