Check Anthropic API access and list available Claude models.

MITAuto-check passedAI & LLM Engineering

Install Anthropic

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill anthropic -a claude-code

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

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors anthropic --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/anthropic .claude/skills/anthropic && 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
anthropic
GitHub stars
1.3k
Token cost
~440 tokens
SKILL.md length
159 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Check Anthropic API access and list available Claude models.

  • Works in 2 steps: This skill is read-only. models is the… → Never exfiltrate the credential: the CLI…
  • Phrases: anthropic
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Anthropic is an agent skill from Anil-matcha/awesome-muse-connectors. Check Anthropic API access and list available Claude models. Read-only. Trigger phrases: anthropic, claude models, anthropic api.

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/anthropic.py`).

It sits in AI & LLM Engineering. It works with Anthropic API. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: anthropic

Example prompts

  • “/anthropic”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. This skill is read-only. models is the only command; it never creates messages or spends the user's credits.
  2. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/anthropic.py). Do not print, log, or transmit the key value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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 script files (Python), which the agent can run.

    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

Anthropic loads about 440 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~440

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

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 159 words, ~440 tokens.

Download SKILL.mdSave it as .claude/skills/anthropic/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
anthropic
description
Check Anthropic API access and list available Claude models. Read-only. Trigger phrases: anthropic, claude models, anthropic api.
metadata.includeInPrompt
true
tagline
Check your Anthropic API access and list available Claude models. Read-only.
catalog_auth
Anthropic API key (per-user, console.anthropic.com)
catalog_hosts
api.anthropic.com

Anthropic

Purpose

Check that the user's Anthropic API key works and list the models available to it (id, display name). Read-only by design: this skill never spends credits; it ships no message, token-count, or other billable calls.

Tooling

All commands go through bin/anthropic.py:

bash
bin/anthropic.py models    # list models available to this key (id, display_name)

Auth

  • Provider id: anthropic (credential is collected as custom.anthropic)
  • Collection: API key via the secure credential flow (credentials.request_api_access): create one at console.anthropic.com
  • Connect placement: custom_header:x-api-key (Anthropic uses x-api-key, not Authorization: Bearer)
  • Allowed hosts: api.anthropic.com
  • Status check: bin/anthropic.py models (a successful list proves the key works)

Note: every request also carries the required anthropic-version: 2023-06-01 header, set by bin/anthropic.py.

Operating Rules

  1. This skill is read-only. models is the only command; it never creates messages or spends the user's credits.
  2. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/anthropic.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/anthropic.py

Maturity

🧪 Draft: written from Anthropic's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/anthropic of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/anthropic.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Anthropic 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.

Anthropic compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Anthropic this skillAnil-matcha/awesome-muse-connectors1.3k—~440Automated safety check: PassMIT
Bidirectional Differentialjszmajda/lid107—~2.9kAutomated safety check: PassMIT
Provider Healthnyldn/claude-octopus4.2k1 repos~491Automated safety check: PassMIT
Claude APIterrense/LilBot-agent121—~155Automated safety check: PassNone
Darwinian EvolverLuciole-Studio/Misaka-Agent1712 repos~2.1kAutomated safety check: WarnMIT
Token Optimizationcwinvestments/memstack423—~1.4kAutomated safety check: PassProprietary

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Works with

Questions about Anthropic

What does Anthropic do?

Check Anthropic API access and list available Claude models. Anthropic is an agent skill from Anil-matcha/awesome-muse-connectors. Check Anthropic API access and list available Claude models.

When should I use Anthropic?

Anthropic fits situations like: phrases: anthropic.

How do I install Anthropic in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill anthropic -a claude-code`. Or copy the skill folder (connectors/anthropic in Anil-matcha/awesome-muse-connectors) into .claude/skills/anthropic in your project. Claude Code loads it when a task matches its description.

How do I install Anthropic in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill anthropic -a codex`. Or copy the skill folder (connectors/anthropic in Anil-matcha/awesome-muse-connectors) into .agents/skills/anthropic in your project. Codex loads it when a task matches its description.

Can I use Anthropic 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 Anil-matcha/awesome-muse-connectors --skill anthropic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/anthropic, .gemini/skills/anthropic, .github/skills/anthropic and .opencode/skills/anthropic in your project.

What does Anthropic need to run?

Going by SKILL.md and its folder, Anthropic needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Anthropic 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 Anthropic 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 Anthropic use?

Anthropic is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Anthropic use?

About 440 tokens (SKILL.md is roughly 1.8k 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 Anthropic?

Skills that share tags, products or a category with Anthropic: Bidirectional Differential (jszmajda/lid, 107 stars), Provider Health (nyldn/claude-octopus, 4.2k stars), Claude API (terrense/LilBot-agent, 121 stars) and Darwinian Evolver (Luciole-Studio/Misaka-Agent, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Anthropic?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.