animica-deploy

animica-deploy is a skill for Claude Code from animicaorg/animica-mcp. It costs 58 tokens per session (973 once invoked), scanned A, original, Apache-2.0.

A deployment skill for two Animica services: adding an AI assistant to an existing website, or publishing a Python function as an HTTPS endpoint. An HTTPS endpoint is a web address that accepts requests securely.

In plain words
What is it for?
Previewing and deploying a website with an AI assistant, or deploying Python functions to public cloud endpoints.
Why use it?
It provides a documented path from a website or Python function to a hosted service. Website deployment involves a human completing PayPal payment, while Python deployment uses metered execution billed in ANM.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the animica plugin — 6 skills, 1 MCP server shipped together

Good fit Previewing and deploying a website with an AI assistant, or deploying Python functions to public cloud endpoints.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/animicaorg/animica-mcp/animica-deploy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add animicaorg/animica-mcp --skill animica-deploy
Clone the repo
git clone --depth 1 https://github.com/animicaorg/animica-mcp

Made for: Claude Code.

Or install animica, the plugin that ships this one along with the rest of its 6 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for animica-deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/animicaorg/animica-mcp/animica-deploy/github.svg)](https://agentmods.dev/skills/animicaorg/animica-mcp/animica-deploy)
Your own site
<a href="https://agentmods.dev/skills/animicaorg/animica-mcp/animica-deploy"><img src="https://agentmods.dev/badge/skills/animicaorg/animica-mcp/animica-deploy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for animica-deploy

Your own site · 80×15
<a href="https://agentmods.dev/skills/animicaorg/animica-mcp/animica-deploy"><img src="https://agentmods.dev/badge/skills/animicaorg/animica-mcp/animica-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 973 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.00973
Opus 5 $0.00029 $0.00487
Sonnet 5 $0.00012 $0.00195
Haiku 4.5 $0.00006 $0.00097

Measured 10d ago against content hash 97f3e18e767a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

animica-deploy scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST https://animica.org/deploy/api/preview \
skills/animica-deploy/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deploy on Animica

Two distinct products:

A. Website + AI — animica.org/deploy ($20 one-time)

https://animica.org/deploy/ adds an AI assistant to an existing website. USD 20 one-time via PayPal — a human must complete the payment; an agent can drive the preview.

Preview (agent-drivable, no auth)

curl -s -X POST https://animica.org/deploy/api/preview \
  -H 'Content-Type: application/json' \
  -d '{"url":"https://example.com"}'
# -> {"siteName":"Example Domain","origin":"https://example.com","pagesDiscovered":1,
#     "topics":[],"samplePages":[{"url":"https://example.com/","title":"Example Domain"}],
#     "normalizedUrl":"https://example.com/"}

Missing/invalid url returns 400 {"error":"url_required"}.

Checkout

POST https://animica.org/deploy/api/checkout (same {"url": …} shape) starts the PayPal flow. Hand the resulting checkout to the human — agents must not attempt to complete payment.

B. Python cloud — animica.dev/api/cloud

Deploy a Python function to a public HTTPS endpoint with metered execution billed in ANM; the platform takes 20%, the deployer keeps the rest. Docs: https://animica.dev/docs/cloud.

Auth: API key prefixed anm_mkt_ (created by a human in the animica.dev Developer Center) or a signed-in browser session.

1. Write a function (one file, one module-level entrypoint)

# handler.py — request = parsed JSON body (POST) or query params (GET); return JSON-serializable
def main(request):
    name = str(request.get("name", "world"))[:80] if isinstance(request, dict) else "world"
    return {"greeting": f"Hello, {name}!"}

2. Create the function

curl -s https://animica.dev/api/cloud/v1/functions \
  -H "authorization: Bearer $ANM_KEY" \
  -H 'content-type: application/json' \
  -d '{"slug": "hello", "name": "Hello", "timeoutMs": 10000, "memoryMb": 128}'
# -> { "function": { "id": "…", "slug": "hello", "status": "DRAFT", … } }

3. Deploy version 1

curl -s https://animica.dev/api/cloud/v1/functions/$FUNCTION_ID/versions \
  -H "authorization: Bearer $ANM_KEY" \
  -H 'content-type: application/json' \
  -d "$(python3 -c 'import json; print(json.dumps({"source": open("handler.py").read(), "entrypoint": "main"}))')"

Read the full file on GitHub · 84 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 84 lines · 58 tokens per session scan A 97f3e18e767a

Subscribe to this mod's changes

animica-deploy is a skill published in the GitHub repository animicaorg/animica-mcp (0 stars, last pushed 26d ago), licensed Apache-2.0. It adds 58 tokens to every session and 973 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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