Using Ccproxy Inspector
starbaser/ccproxy
Operates the ccproxy inspector MITM system for intercepting, inspecting, and transforming LLM API traffic.
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter.
$ npx skills add majiayu000/claude-skill-registry --skill llm-models -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry llm-models --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-llm/llm-models .claude/skills/llm-models && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "llm-models" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/llm-models into .claude/skills/llm-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-models", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/llm-modelsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill llm-models -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry llm-models --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-llm/llm-models .agents/skills/llm-models && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-models" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/llm-models into .agents/skills/llm-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-models", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill llm-models -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry llm-models --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-llm/llm-models .cursor/skills/llm-models && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llm-models" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/llm-models into .cursor/skills/llm-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-models", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-llm/llm-models--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill llm-models -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry llm-models --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-llm/llm-models .gemini/skills/llm-models && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llm-models" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/llm-models into .gemini/skills/llm-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-models", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry llm-modelsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill llm-models -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-llm/llm-models .github/skills/llm-models && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llm-models" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/llm-models into .github/skills/llm-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-models", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill llm-models -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry llm-models --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-llm/llm-models .opencode/skills/llm-models && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llm-models" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/llm-models into .opencode/skills/llm-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-models", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
llm-modelsAccess Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter.
LLM Models is an agent skill from majiayu000/claude-skill-registry. Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat…
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in AI & LLM Engineering, covering LLM API integration and Model routing and gateways. It works with Kimi, OpenRouter, Anthropic API and Zhipu GLM. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
Bash(infsh *)From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
inference.shcloud.inference.shFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
LLM Models loads about 992 tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 155 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 155 words, ~992 tokens.
.claude/skills/llm-models/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Access 100+ language models via inference.sh CLI.
Image: LLM Models via OpenRouter
Requires inference.sh CLI (
infsh). Get installation instructions:npx skills add inference-sh/skills@agent-tools
infsh login
# Call Claude Sonnet
infsh app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'| Model | App ID | Best For |
|---|---|---|
| Claude Opus 4.5 | openrouter/claude-opus-45 | Complex reasoning, coding |
| Claude Sonnet 4.5 | openrouter/claude-sonnet-45 | Balanced performance |
| Claude Haiku 4.5 | openrouter/claude-haiku-45 | Fast, economical |
| Gemini 3 Pro | openrouter/gemini-3-pro-preview | Google's latest |
| Kimi K2 Thinking | openrouter/kimi-k2-thinking | Multi-step reasoning |
| GLM-4.6 | openrouter/glm-46 | Open-source, coding |
| Intellect 3 | openrouter/intellect-3 | General purpose |
| Any Model | openrouter/any-model | Auto-selects best option |
infsh app list --search "openrouter"
infsh app list --search "claude"infsh app run openrouter/claude-opus-45 --input '{
"prompt": "Write a Python function to detect palindromes with comprehensive tests"
}'infsh app run openrouter/claude-sonnet-45 --input '{
"prompt": "Summarize the key concepts of machine learning"
}'infsh app run openrouter/claude-haiku-45 --input '{
"prompt": "Translate this to French: Hello, how are you?"
}'infsh app run openrouter/kimi-k2-thinking --input '{
"prompt": "Plan a step-by-step approach to build a web scraper"
}'# Automatically picks the most cost-effective model
infsh app run openrouter/any-model --input '{
"prompt": "What is the capital of France?"
}'infsh app sample openrouter/claude-sonnet-45 --save input.json
# Edit input.json:
# {
# "system": "You are a helpful coding assistant",
# "prompt": "How do I read a file in Python?"
# }
infsh app run openrouter/claude-sonnet-45 --input input.json# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@agent-tools
# Web search (combine with LLMs for RAG)
npx skills add inference-sh/skills@web-search
# Image generation
npx skills add inference-sh/skills@ai-image-generation
# Video generation
npx skills add inference-sh/skills@ai-video-generationBrowse all apps: infsh app list
© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/ai-llm/llm-models of majiayu000/claude-skill-registry.
Open the folder on GitHubat commit 2d14a69
We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
LLM Models next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| LLM Models this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~992 | Automated safety check: Pass | MIT | |
| Using Ccproxy Inspectorstarbaser/ccproxy | 350 | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Using Ccproxy APIstarbaser/ccproxy | 350 | — | ~4k | Automated safety check: Pass | Custom licence | |
| Provider Integrationhex/claude-council | 848 | — | ~635 | Automated safety check: Pass | MIT | |
| Neon AI Gatewayneondatabase/agent-skills | 100 | — | ~5.1k | Automated safety check: Notes | Apache-2.0 | |
| ModLens Image Vision Bridgeliustack/modlens | 4.2k | 1 repos | ~1.3k | Automated safety check: Notes | MIT |
starbaser/ccproxy
Operates the ccproxy inspector MITM system for intercepting, inspecting, and transforming LLM API traffic.
starbaser/ccproxy
Guides users through ccproxy as an OpenAI-compatible and Anthropic-compatible LLM API server with SDK integration, OAuth authentication, sentinel key substitution, model routing, and troubleshooting.
hex/claude-council
Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface.
neondatabase/agent-skills
One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks.
liustack/modlens
Gives text-only models sight by running the modlens CLI on an image path or URL and returning structured JSON evidence with transcribed text, layout and semantics.
decolua/9router
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
majiayu000/claude-skill-registry
Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.
majiayu000/claude-skill-registry
Neural search via Exa MCP for web, code, and company research.
majiayu000/claude-skill-registry
Unified media generation via fal.ai MCP — image, video, and audio.
majiayu000/claude-skill-registry
Interact with Zotero reference management libraries using the pyzotero Python client.
majiayu000/claude-skill-registry
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
Categories
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. LLM Models is an agent skill from majiayu000/claude-skill-registry.sh CLI using OpenRouter.
LLM Models fits situations like: : AI assistants; code generation; content generation.
Run `npx skills add majiayu000/claude-skill-registry --skill llm-models -a claude-code`. Or copy the skill folder (skills/ai-llm/llm-models in majiayu000/claude-skill-registry) into .claude/skills/llm-models in your project. Claude Code loads it when a task matches its description.
Run `npx skills add majiayu000/claude-skill-registry --skill llm-models -a codex`. Or copy the skill folder (skills/ai-llm/llm-models in majiayu000/claude-skill-registry) into .agents/skills/llm-models in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill llm-models -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-models, .gemini/skills/llm-models, .github/skills/llm-models and .opencode/skills/llm-models in your project.
Going by SKILL.md and its folder, LLM Models needs the command-line tools its instructions call (npx). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Bash(infsh *).
SKILL.md names 2 domains. As links in the text: inference.sh and cloud.inference.sh. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
LLM Models is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 992 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with LLM Models: Using Ccproxy Inspector (starbaser/ccproxy, 350 stars), Using Ccproxy API (starbaser/ccproxy, 350 stars), Provider Integration (hex/claude-council, 848 stars) and Neon AI Gateway (neondatabase/agent-skills, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.