ios-workout-pm

ios-workout-pm is an agent for Claude Code from randomlylelo/curlsapp. It costs 0 tokens per session (958 once invoked), scanned A, original, GPL-3.0.

A project-specific agent for planning and managing features in an iOS workout app, including its WatchOS companion.

In plain words
What is it for?
It helps define requirements, break work into steps, create implementation plans, ask clarifying questions, and scope features for a weight-lifting logger.
Why use it?
It gives feature discussions a focus on the app's requirements, scope, and integration with Apple Watch.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/randomlylelo/curlsapp/ios-workout-pm
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 ios-workout-pm

README.md
[![agentmods](https://agentmods.dev/badge/agents/randomlylelo/curlsapp/ios-workout-pm.svg)](https://agentmods.dev/agents/randomlylelo/curlsapp/ios-workout-pm)
Your own site
<a href="https://agentmods.dev/agents/randomlylelo/curlsapp/ios-workout-pm"><img src="https://agentmods.dev/badge/agents/randomlylelo/curlsapp/ios-workout-pm.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 958 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00958
Opus 5 $0.00000 $0.00479
Sonnet 5 $0.00000 $0.00192
Haiku 4.5 $0.00000 $0.00096

Measured 4d ago against content hash 27f941d8a526, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ios-workout-pm 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 4d 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/ios-workout-pm.md · 66 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. 4d ago First seen · 66 lines · 0 tokens per session scan A 27f941d8a526

Subscribe to this mod's changes

ios-workout-pm 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 958 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.

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