always-on-agent-applications

always-on-agent-applications is a skill for Claude Code from curiositech/windags-skills. It costs 160 tokens per session (2,201 once invoked), scanned A, original, no licence file.

A guide to products and workflows built around an AI agent that stays running and remembers past events.

In plain words
What is it for?
Use it to explore product ideas, recurring workflows, and real-world uses for always-on agents with episodic memory.
Why use it?
It connects persistent memory and continuous operation to concrete uses, helping turn an architecture idea into an actual workflow or product.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to explore product ideas, recurring workflows, and real-world uses for always-on agents with episodic memory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/curiositech/windags-skills/always-on-agent-applications
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 curiositech/windags-skills --skill always-on-agent-applications
Clone the repo
git clone --depth 1 https://github.com/curiositech/windags-skills

Made for: Claude Code.

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 always-on-agent-applications

README.md
[![agentmods](https://agentmods.dev/badge/skills/curiositech/windags-skills/always-on-agent-applications/github.svg)](https://agentmods.dev/skills/curiositech/windags-skills/always-on-agent-applications)
Your own site
<a href="https://agentmods.dev/skills/curiositech/windags-skills/always-on-agent-applications"><img src="https://agentmods.dev/badge/skills/curiositech/windags-skills/always-on-agent-applications/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 always-on-agent-applications

Your own site · 80×15
<a href="https://agentmods.dev/skills/curiositech/windags-skills/always-on-agent-applications"><img src="https://agentmods.dev/badge/skills/curiositech/windags-skills/always-on-agent-applications.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,201 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00160 $0.02201
Opus 5.5 $0.00064 $0.00880
Sonnet 5.5 $0.00032 $0.00440
Haiku 4.5 $0.00016 $0.00220

Measured 1mo ago against content hash 03b4e624a40e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

always-on-agent-applications scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/always-on-agent-applications/SKILL.md · 225 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago First seen · 225 lines · 160 tokens per session scan A 03b4e624a40e

Subscribe to this mod's changes

always-on-agent-applications is a skill published in the GitHub repository curiositech/windags-skills (17 stars, last pushed 2d ago), with no licence file. It adds 160 tokens to every session and 2,201 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

agent-harness-fault-injection

Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures.

ranbot-ai/awesome-skills · 34 tokens

antigravity-skill-orchestrator

A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.

ranbot-ai/awesome-skills · 42 tokens

agent-memory

A hybrid memory system that provides persistent, searchable knowledge management for AI agents.

ranbot-ai/awesome-skills · 18 tokens

browserwing-executor

Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.

MemTensor/MemOS · 42 tokens

dev-browser

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website"…

MemTensor/MemOS · 84 tokens

ui-craft

Design, build, redesign, or modify browser-visible web interfaces with product-quality composition, visual systems, interaction states, responsive behavior, accessibility, and browser visual QA. Use for HTML, CSS, JavaScript, React, Vue, or Svelte pages and components, landing pages, dashboards, admin tools, settings…

MemTensor/memmy-agent · 86 tokens