Llama Cpp
magnus919/agent-skills
Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems.
Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models.
Install Model Discovery
$ npx skills add aiskillstore/marketplace --skill model-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace model-discovery --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/consiliency/model-discovery .claude/skills/model-discovery && 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 "model-discovery" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/consiliency/model-discovery into .claude/skills/model-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-discovery", 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/aiskillstore/marketplace/tree/main/skills/consiliency/model-discoveryType 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 aiskillstore/marketplace --skill model-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace model-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/consiliency/model-discovery .agents/skills/model-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "model-discovery" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/consiliency/model-discovery into .agents/skills/model-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-discovery", 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 aiskillstore/marketplace --skill model-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace model-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/consiliency/model-discovery .cursor/skills/model-discovery && 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 "model-discovery" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/consiliency/model-discovery into .cursor/skills/model-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-discovery", 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/aiskillstore/marketplace.git --path skills/consiliency/model-discovery--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 aiskillstore/marketplace --skill model-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace model-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/consiliency/model-discovery .gemini/skills/model-discovery && 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 "model-discovery" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/consiliency/model-discovery into .gemini/skills/model-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-discovery", 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 aiskillstore/marketplace model-discoveryInstalls 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 aiskillstore/marketplace --skill model-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/consiliency/model-discovery .github/skills/model-discovery && 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 "model-discovery" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/consiliency/model-discovery into .github/skills/model-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-discovery", 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 aiskillstore/marketplace --skill model-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace model-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/consiliency/model-discovery .opencode/skills/model-discovery && 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 "model-discovery" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/consiliency/model-discovery into .opencode/skills/model-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-discovery", 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.
Facts
- Skill name
model-discovery- GitHub stars
- 433
- Token cost
- ~1.9k tokens
- SKILL.md length
- 574 words
- Files
- 12 (incl. scripts)
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- None found
At a glance
Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models.
- Works in 6 steps: [ ] Determine which provider(s) you need… → [ ] Check if cached model list exists:… → [ ] If cache is fresh (< CACHE_TTL_HOURS… → …
- Needing up-to-date model IDs for API calls
- SKILL.md covers Variables, Instructions, Red Flags - STOP and Reconsider and Workflow, plus 6 more sections
- Runs Python scripts from its folder; calls uv
What it does
Model Discovery is an agent skill from aiskillstore/marketplace. Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models. Use when needing up-to-date model IDs for API calls or when other skills reference model names.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts (for example `cache/models.json`, `config/known_models.json` and `config/model_tiers.json`).
It sits in AI & LLM Engineering, covering LLM inference and serving. It works with OpenAI, Ollama and Python. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Needing up-to-date model IDs for API calls
- Other skills reference model names
Example prompts
- “/model-discovery”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- [ ] Determine which provider(s) you need models from
- [ ] Check if cached model list exists: cache/models.json
- [ ] If cache is fresh (< CACHE_TTL_HOURS old), use cached data
- [ ] If stale/missing, run: uv run python scripts/fetch_models.py --force
- [ ] CHECKPOINT: Verify no API errors in output
- [ ] Use the model IDs as needed
What it can do on your machine
Read from SKILL.md and the folder at commit 44923f3. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Model Discovery loads about 1.9k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 574 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 574 words (~1,877 tokens).
“Fetch the most recent model names from AI providers using their APIs. Includes tier classification (fast/default/heavy) for routing decisions and automatic detection of new models.”
- name
- model-discovery
Files
SKILL.md and 11 other files (scripts) in skills/consiliency/model-discovery of aiskillstore/marketplace.
- SKILL.md
- cache/.gitkeep
- cache/models.json
- config/known_models.json
- config/model_tiers.json
- cookbook/anthropic-models.md
- cookbook/gemini-models.md
- cookbook/ollama-models.md
- cookbook/openai-models.md
- scripts/check_new_models.py
- scripts/fetch_models.py
- skill-report.json
Open the folder on GitHubat commit 44923f3
Compare with similar skills
Model Discovery 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 |
|---|---|---|---|---|---|---|
| Model Discovery this skillaiskillstore/marketplace | 433 | — | ~1.9k | Automated safety check: Pass | None | |
| Llama Cppmagnus919/agent-skills | 115 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Aider DelegateamElnagdy/delegate-skills | 2.3k | 2 repos | ~3k | Automated safety check: Pass | MIT | |
| Perfupraullenchai/Rapid-MLX | 4k | — | ~1.6k | Automated safety check: Notes | Custom licence | |
| Ideer Daily Paper ChatbotAI45Lab/iDeer | 416 | — | ~3k | Automated safety check: Notes | AGPL-3.0 | |
| Agent Frameworkjihadkhawaja/Egroo | 178 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Aider Delegate
amElnagdy/delegate-skills
Delegate a coding task to Aider (aider) as a background implementer, then review its diff and land it yourself.
Perfup
raullenchai/Rapid-MLX
Autonomous performance optimization: research, PoC, benchmark, implement, review, PR
Ideer Daily Paper Chatbot
AI45Lab/iDeer
Use iDeer as a daily paper-reading workflow for chatbot-first users such as Codex, Gemini, or ChatGPT.
Agent Framework
jihadkhawaja/Egroo
Build, extend, and debug AI agents in Egroo using the Microsoft Agent Framework (C .NET).
Configuring Vision
oxbshw/watch-skill
The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models.
More from aiskillstore/marketplace
All 1,044 skills in this repoCode Stats
aiskillstore/marketplace
Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs).
Data Processing
aiskillstore/marketplace
Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace.
Doc Scanner
aiskillstore/marketplace
Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance.
File Search
aiskillstore/marketplace
Modern file and content search using fd, ripgrep (rg), and fzf.
Find Replace
aiskillstore/marketplace
Modern find-and-replace using sd (simpler than sed) and batch replacement patterns.
Project Planner
aiskillstore/marketplace
Detects stale project plans and suggests session commands. An agent skill from aiskillstore/marketplace.
Related
Categories
Questions about Model Discovery
What does Model Discovery do?
Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models. Model Discovery is an agent skill from aiskillstore/marketplace. Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models.
When should I use Model Discovery?
Model Discovery fits situations like: needing up-to-date model IDs for API calls; other skills reference model names.
How do I install Model Discovery in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill model-discovery -a claude-code`. Or copy the skill folder (skills/consiliency/model-discovery in aiskillstore/marketplace) into .claude/skills/model-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Model Discovery in Codex?
Run `npx skills add aiskillstore/marketplace --skill model-discovery -a codex`. Or copy the skill folder (skills/consiliency/model-discovery in aiskillstore/marketplace) into .agents/skills/model-discovery in your project. Codex loads it when a task matches its description.
Can I use Model Discovery in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill model-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-discovery, .gemini/skills/model-discovery, .github/skills/model-discovery and .opencode/skills/model-discovery in your project.
What does Model Discovery need to run?
Going by SKILL.md and its folder, Model Discovery needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Model Discovery access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Model Discovery safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Model Discovery use?
No licence was found for Model Discovery or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Model Discovery use?
About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Model Discovery?
Skills that share tags, products or a category with Model Discovery: Llama Cpp (magnus919/agent-skills, 115 stars), Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Perfup (raullenchai/Rapid-MLX, 4k stars) and Ideer Daily Paper Chatbot (AI45Lab/iDeer, 416 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Model Discovery?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.