curlsapp: Agent for Claude Code

.claude/agents/fitness-app-marketer.md

fitness-app-marketer is an agent for Claude Code from randomlylelo/curlsapp. It costs 0 tokens per session (702 once invoked), scanned A, original, GPL-3.0.

A coding assistant for planning social-media content and marketing campaigns for an iOS fitness app.

In plain words
What is it for?
Use it to draft posts, plan product-launch campaigns, and create promotional content for an iOS fitness app.
Why use it?
It helps when you need to explain new app features, launch plans, or workout-tracking ideas to potential users.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is randomlylelo/curlsapp's own configuration. It tells Claude Code how to work on curlsapp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything curlsapp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to randomlylelo/curlsapp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/randomlylelo/curlsapp/main/.claude/agents/fitness-app-marketer.md
Clone the repo
git clone --depth 1 https://github.com/randomlylelo/curlsapp

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 fitness-app-marketer

README.md
[![agentmods](https://agentmods.dev/badge/agents/randomlylelo/curlsapp/fitness-app-marketer.svg)](https://agentmods.dev/agents/randomlylelo/curlsapp/fitness-app-marketer)
Your own site
<a href="https://agentmods.dev/agents/randomlylelo/curlsapp/fitness-app-marketer"><img src="https://agentmods.dev/badge/agents/randomlylelo/curlsapp/fitness-app-marketer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 702 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 $0.00000 $0.00702
Opus 5 $0.00000 $0.00351
Sonnet 5 $0.00000 $0.00140
Haiku 4.5 $0.00000 $0.00070

Measured 7d ago against content hash 4b9631d3ad8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

fitness-app-marketer 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 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.

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.

.claude/agents/fitness-app-marketer.md · 70 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 7d ago First seen · 70 lines · 0 tokens per session scan A 4b9631d3ad8f

Subscribe to this mod's changes

fitness-app-marketer is an agent published in the GitHub repository randomlylelo/curlsapp (11 stars, last pushed 1y ago), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 702 tokens. 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 2026-08-30.

Related

Other agents, from other repositories

ux-flow-auditor

Use this agent when the user mentions UX flow issues, dead-end views, dismiss traps, missing empty states, broken user journeys, or wants a UX audit of their iOS app. Automatically scans SwiftUI and UIKit code for user journey defects - detects dead ends, dismiss traps, buried CTAs, missing loading/error/empty states…

CharlesWiltgen/Axiom · 190 tokens

android-performance-specialist

Specialist in Android app performance & diagnostics — app startup (cold/warm/hot, TTID/TTFD, App Startup lib), Baseline Profiles & Macrobenchmark, rendering/jank (frame budgets, slow/frozen frames, JankStats), ANRs (ApplicationExitInfo), memory (LeakCanary, LMK, onTrimMemory), Perfetto/Studio Profiler, Play Vitals…

SteveGJones/ai-first-sdlc-practices · 128 tokens

swiftui-architect

Specialist in modern iOS app architecture with SwiftUI (iOS 26 / Swift 6.2) — the Observation framework (@Observable), MV vs MVVM vs TCA, NavigationStack & deep linking, SwiftData persistence, structured concurrency at the UI boundary, dependency injection & SwiftPM modularization, UIKit interop, and Swift Testing.…

SteveGJones/ai-first-sdlc-practices · 97 tokens

mobile-ux-optimizer

Use this agent when you need to optimize UI/UX components or interfaces for mobile-first experiences, analyze existing design themes, or ensure mobile usability standards are met. Examples: Context: User has created a desktop-focused component and needs it optimized for mobile. user: 'I've built this navigation…

xbim08/awesome-claude-code-plugins · 0 tokens

SwiftUI Screen Builder

Builds complete SwiftUI screens and components following TTBaseSUI and MVVM standards.

tqtuan1201/TTBaseUIKit · 22 tokens

android-kotlin-expert

Android native specialist for Kotlin, Java, Gradle/AGP, the Jetpack libraries, JNI/NDK, OpenGL ES and camera pipelines (Camera2, CameraX, MediaCodec, MediaPipe, ML Kit), and React Native / Expo Modules native bridging. Use when the task touches android/ (.kt, .java, .gradle / .gradle.kts, AndroidManifest.xml…

simiancraft/simiancraft-skills · 276 tokens