Curated with by@mohithkumar808

№ 0835Skill

Apify skill for Muse

Unofficial terminal skill for Muse that calls the Apify API to list actors, start runs, poll status and pull dataset items from a single stdlib-only Python CLI.

vcspr/muse-apify-skillREADME ↗

Apify Skill for Muse

A small terminal skill for calling the Apify API:
list your actors, start runs, poll run status, and pull dataset items —
all from one Python CLI with no dependencies beyond the standard library.

Unofficial community project. This repo is not affiliated with,
endorsed by, or supported by Apify. Apify publishes its own official
MCP server (github.com/apify/apify-mcp-server,
hosted at https://mcp.apify.com) — if you want first-party support,
start there.

Install

Clone the repo and make the CLI executable:

git clone https://github.com/vcspr/muse-apify-skill.git
cd muse-apify-skill
chmod +x bin/apify

Optionally add bin/ to your PATH, or call it directly as ./bin/apify.

Requires Python 3.9+. No third-party packages needed.

Setup

Get an API token from the Apify Console (Settings -> Integrations),
then export it:

export APIFY_TOKEN="your-token-here"

The token is sent only to https://api.apify.com in the Authorization
header. It is never printed, logged, or written to disk. Keep it out of
your shell history and never commit it.

Usage

Verify your token (prints only your id and username — never the raw
response, which can contain sensitive fields):

./bin/apify me

List your actors:

./bin/apify actors --limit 20

Start an actor run (this spends Apify credits — approve each run
explicitly):

./bin/apify run apify/web-scraper --input '{"startUrls":[{"url":"https://example.com"}]}'

Poll a run until it finishes:

./bin/apify run-status <run-id> --wait 300

Fetch the run's dataset items:

./bin/apify dataset <dataset-id> --limit 50

The skill contract

SKILL.md is the agent-facing contract: it tells an AI assistant how to
use the CLI, where auth comes from, and the operating rules (read-only
calls need no approval; credit-spending runs always need explicit approval
for that specific run). Pair it with the CLI above for a complete skill.

Security notes

  • me is intentionally sanitized: the Apify /users/me endpoint can
    return sensitive fields such as proxy credentials, so the command prints
    only id and username.
  • Authenticated requests go to api.apify.com and nowhere else.
  • Nothing in this repo collects, stores, or transmits your token.
Apify skill for Muse on github.com

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