Cxc Search

Community

lidge-jun

cxc-search

Use for web/current lookups. Triggers: search, look up, latest, news, prices, docs, status, X/Twitter, deep research, 검색, 검색해, 찾아봐, 찾아줘, 알아봐, 웹검색, 딥리서치, 심층 조사.

Overview

Publisher	lidge-jun
Repository	`codexclaw`
Skill name	`cxc-search`
Stars	51
Forks	10
Bundled files	13
License	MIT
Links	Skill source Repository Homepage

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.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by lidge-jun on GitHub. Read the source before you install it.

Installation

Install the Cxc Search 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/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/search
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/lidge-jun/codexclaw.git /tmp/codexclaw
mkdir -p .claude/skills
cp -r /tmp/codexclaw/plugins/codexclaw/skills/search .claude/skills/cxc-search

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

Use it in TypingMind

Enable Cxc Search 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 Cxc Search 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 Cxc Search 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.

search — Unified Search Hub

Search discipline for any lookup that leaves the repository. This skill is implicit-visible as metadata (allow_implicit_invocation: true); load the full body on explicit trigger or dev-hub routing, never by an external dispatcher.

Source-Proof Invariant (read first)

Search results are candidate URLs, not evidence. Snippets, summaries, and search-result consensus discover where a fact might live; they never settle it. When recency, factual accuracy, version/compatibility, or source attribution matters, open the original page and confirm it before you treat the answer as sufficient. This invariant precedes every sufficiency rule below — no tier may declare an answer final on snippet text alone.

The Ladder (exactly three codex-native tiers)

Research-depth classifier (SEARCH-DEPTH-01)

Before climbing the ladder, name the depth — it is distinct from the target classifier in the Korean Intent Guard (which picks web vs docs vs repo):

latest/current fact — one entity, a version/date/price/status. Tier 1 discover + Tier 2 open one primary source. Capture the exact date.
official-doc fact — API/library behavior. Prefer official docs first, then open for proof.
implementation/source fact — how something is built. Open the source/repo, not a summary.
comprehensive research — multi-source/contested. This is the only depth that justifies Tier 3 (Deep research); ordinary latest/current lookups never auto-escalate to a subagent swarm.

Target routing

Classify external/public/current information, official-doc behavior, or this repository's code/logs/config before choosing tools; system comprehension routes to cxc-dev-debugging. Before querying, read Korean Intent Guard and query rewrite.

Conditional References

Condition	Reference
Before every query	Korean Intent Guard, query rewrite
Discovering candidate URLs (Tier 1)	Hosted discovery
Opening a source to settle a claim (Tier 2)	Source-open proof (SEARCH-BROWSE-01)
Blocked, JS, PDF or table source	Blocked-URL reader
Explicit deep-research request or host mode (Tier 3)	Entry boundaries, then Deep research
Any search subagent, including audit/reviewer or Luna lanes	Skill attachment (SEARCH-ATTACH-01)
PABCD divergence candidates	Candidate grounding
Luna discovery or assessing available backends	Discovery boundaries
Host/tool capability or search integration questions	Tool notes

When to stop

Stop escalating when any holds: a sufficient primary source is found and confirmed; all candidate URLs are dead or unreachable; or the task needs a user clarification. Do not keep climbing tiers past a confirmed answer, and do not spend Tier 3 subagents on a question Tier 1+2 already settled.

Bundled files

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

Frequently asked questions

What does the Cxc Search AI skill do?

Why use Cxc Search on TypingMind?

Because you install it once and use it with any model. Cxc Search 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 Cxc Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/search. 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 Cxc Search?

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 Cxc Search?

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

Is the Cxc Search AI skill free?

Yes. It is published on GitHub by lidge-jun 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

search — Unified Search Hub

Source-Proof Invariant (read first)

The Ladder (exactly three codex-native tiers)

Research-depth classifier (SEARCH-DEPTH-01)

Target routing

Conditional References

When to stop

Bundled files

Frequently asked questions

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