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.
npx skills add marysatasselshaped667/skills-collection-1 --skill appdeploygit clone --depth 1 https://github.com/marysatasselshaped667/skills-collection-1Wrote 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.
[](https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/appdeploy)<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/appdeploy"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/appdeploy/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.
<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/appdeploy"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/appdeploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.02225 |
| Opus 5 | $0.00021 | $0.01112 |
| Sonnet 5 | $0.00008 | $0.00445 |
| Haiku 4.5 | $0.00004 | $0.00222 |
Grade A, and why
appdeploy 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 7d 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.
description: "Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl." This is a copy
95% identical to appdeploy — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AppDeploy Skill
Deploy web apps to AppDeploy via HTTP API.
When to Use This Skill
- Use when planning or building apps and web apps
- Use when deploying an app to a public URL
- Use when publishing a website or web app
- Use when the user says "deploy this", "make this live", or "give me a URL"
- Use when updating an already-deployed app
Setup (First Time Only)
-
Check for existing API key:
- Look for a
.appdeployfile in the project root - If it exists and contains a valid
api_key, skip to Usage
- Look for a
-
If no API key exists, register and get one:
curl -X POST https://api-v2.appdeploy.ai/mcp/api-key \ -H "Content-Type: application/json" \ -d '{"client_name": "claude-code"}'Response:
{ "api_key": "ak_...", "user_id": "agent-claude-code-a1b2c3d4", "created_at": 1234567890, "message": "Save this key securely - it cannot be retrieved later" } -
Save credentials to
.appdeploy:{ "api_key": "ak_...", "endpoint": "https://api-v2.appdeploy.ai/mcp" }Add
.appdeployto.gitignoreif not already present.
Usage
Make JSON-RPC calls to the MCP endpoint:
curl -X POST {endpoint} \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "Authorization: Bearer {api_key}" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "{tool_name}",
"arguments": { ... }
}
}'
Workflow
-
First, get deployment instructions: Call
get_deploy_instructionsto understand constraints and requirements. -
Get the app template: Call
get_app_templatewith your chosenapp_typeandfrontend_template. -
Deploy the app: Call
deploy_appwith your app files. For new apps, setapp_idtonull. -
Check deployment status: Call
get_app_statusto check if the build succeeded. -
View/manage your apps: Use
get_appsto list your deployed apps.
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.
- 7d ago First seen · 206 lines · 42 tokens per session scan A daae890f609e
appdeploy is a skill published in the GitHub repository marysatasselshaped667/skills-collection-1 (1 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 2,225 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to appdeploy, differing in 5 lines, and is treated as a copy.
Other skills, from other repositories
cost-optimizer
Professional Cost Optimizer Expert skill. Build performant, secure, and scalable backend logic and RESTful or GraphQL APIs.
infrastructure-as-code
Professional Infrastructure As Code Expert skill. Build performant, secure, and scalable backend logic and RESTful or GraphQL APIs.
azure-storage-blob-ts
Azure Blob Storage JavaScript/TypeScript SDK (@azure/storage-blob) for blob operations. Use for uploading, downloading, listing, and managing blobs and containers.
azure-storage-file-share-ts
Azure File Share JavaScript/TypeScript SDK (@azure/storage-file-share) for SMB file share operations.
azure-storage-queue-ts
Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues.
azure-storage-file-datalake-py
Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.