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Agent skill

Add Model

by Pipelex in Pipelex/pipelex

Add a new AI model to Pipelex's own inference configuration: the backend TOMLs in .pipelex/inference/backends/ (OpenAI, Azure, Anthropic, Bedrock, Google, Vertex, Mistral and the rest), the kit…

Custom licenceAuto-check passedDevelopment

Install Add Model

skills CLI
$ npx skills add Pipelex/pipelex --skill add-model -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Pipelex/pipelex add-model --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Pipelex/pipelex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/add-model .claude/skills/add-model && rm -rf skills-src

Use ~/.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/

Facts

Skill name
add-model
GitHub stars
939
Token cost
~2.7k tokens
SKILL.md length
1,459 words
Files
2 (incl. references)
Skills in repo
6
Repo updated
First seen
Licence
Custom licence

At a glance

Add a new AI model to Pipelex's own inference configuration: the backend TOMLs in .pipelex/inference/backends/ (OpenAI, Azure, Anthropic, Bedrock, Google, Vertex, Mistral and the rest), the kit…

  • Works in 8 steps: Establish the facts, from the provider → Find the footprint from the nearest… → Write the entries → …
  • The user says add a model
  • SKILL.md covers 1. Establish the facts, from…, 2. Find the footprint from the…, 3. Write the entries and 4. Sync the kit, plus 5 more sections
  • Calls make

What it does

Add Model is an agent skill from Pipelex/pipelex. Add a new AI model to Pipelex's own inference configuration: the backend TOMLs in .pipelex/inference/backends/ (OpenAI, Azure, Anthropic, Bedrock, Google, Vertex, Mistral and the rest), the kit copy, the test collections, live inference tests on every backend it lands on, and the changelog entry. Use when the user says "add a model", "add GPT-X", "add Claude X", "add Gemini X", "new model", "register a model", "support model X", "add model to backend", or names a model that no backend TOML declares yet and wants…

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/openrouter-price-lookup.md`).

It sits in Development, covering Changelog and release notes. It works with Microsoft Azure, Mistral AI and OpenAI. The repository describes itself as: Build AI methods with your coding agent, then run them anywhere: as an MCP for chatbots, as a webapp for people, or via API for your software.

When your agent uses it

  • The user says add a model
  • Register a model
  • Support model X
  • Add model to backend

Example prompts

  • “add a model”
  • “add GPT-X”
  • “add Claude X”
  • “/add-model”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Establish the facts, from the provider
  2. Find the footprint from the nearest sibling
  3. Write the entries
  4. Sync the kit
  5. Add it to the test collections
  6. Prove it live on every backend
  7. Deck, changelog, checks
  8. The hosted model catalog

What it can do on your machine

Read from SKILL.md and the folder at commit 67cf575. 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

    Shell commands in SKILL.md call:

    • make

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Add Model loads about 2.7k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 181 tokens; SKILL.md has 1,459 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~181
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,459 words (~2,733 tokens).

“A model is added once per backend that serves it. Each backend TOML under .pipelex/inference/backends/ declares the models that backend can call, the kit copy under pipelex/kit/configs/ is what ships in the package, and .pipelex-dev/test_profiles.toml decides which models the parametrized…”

— opening of SKILL.md by Pipelex, Custom licence
name
add-model

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in .claude/skills/add-model of Pipelex/pipelex.

  • SKILL.md
  • references/openrouter-price-lookup.md

Open the folder on GitHubat commit 67cf575

Compare with similar skills

Add Model 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.

Add Model compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Add Model this skillPipelex/pipelex939—~2.7kAutomated safety check: PassCustom licence
Ax AIdosco/aithy107—~8.2kAutomated safety check: PassApache-2.0
DeepChat Provider IntegrationThinkInAIXYZ/deepchat6.4k1 repos~1.2kAutomated safety check: PassApache-2.0
Version ReleaseNG-ZORRO/ng-zorro-antd9.2k—~3.1kAutomated safety check: PassMIT
Code ReviewAzure/Azurite2.3k—~734Automated safety check: PassMIT
Pulse Releasequnqin24/Pulse516—~1.3kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Add Model

What does Add Model do?

Add a new AI model to Pipelex's own inference configuration: the backend TOMLs in .pipelex/inference/backends/ (OpenAI, Azure, Anthropic, Bedrock, Google, Vertex, Mistral and the rest), the kit…. Add Model is an agent skill from Pipelex/pipelex.pipelex/inference/backends/ (OpenAI, Azure, Anthropic, Bedrock, Google, Vertex, Mistral and the rest), the kit copy, the test collections, live inference tests on every backend it lands on, and the changelog entry.

When should I use Add Model?

Add Model fits situations like: the user says add a model; register a model; support model X; add model to backend.

How do I install Add Model in Claude Code?

Run `npx skills add Pipelex/pipelex --skill add-model -a claude-code`. Or copy the skill folder (.claude/skills/add-model in Pipelex/pipelex) into .claude/skills/add-model in your project. Claude Code loads it when a task matches its description.

How do I install Add Model in Codex?

Run `npx skills add Pipelex/pipelex --skill add-model -a codex`. Or copy the skill folder (.claude/skills/add-model in Pipelex/pipelex) into .agents/skills/add-model in your project. Codex loads it when a task matches its description.

Can I use Add Model 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 Pipelex/pipelex --skill add-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-model, .gemini/skills/add-model, .github/skills/add-model and .opencode/skills/add-model in your project.

What does Add Model need to run?

Going by SKILL.md and its folder, Add Model needs the command-line tools its instructions call (make).

Does Add Model access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Add Model 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. Review the folder before installing.

What licence does Add Model use?

Add Model has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Add Model use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 587 tokens, read only when the agent opens those files.

What are the alternatives to Add Model?

Skills that share tags, products or a category with Add Model: Ax AI (dosco/aithy, 107 stars), DeepChat Provider Integration (ThinkInAIXYZ/deepchat, 6.4k stars), Version Release (NG-ZORRO/ng-zorro-antd, 9.2k stars) and Code Review (Azure/Azurite, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Add Model?

Pipelex (a GitHub organization) maintains it in Pipelex/pipelex, which has 939 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 6, 2026.

Source: Pipelex/pipelex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.