aphrodite

aphrodite is a cursor rule for Cursor from ils15/pantheon-legacy. It costs 42 tokens per session (1,407 once invoked), scanned A, original, MIT.

A frontend development guide for building accessible, responsive React interfaces with strict TypeScript and modern API patterns.

In plain words
What is it for?
Creating React components, planning component data flow, applying WCAG accessibility practices, using mobile-first layouts, and detecting deprecated npm packages.
Why use it?
It gives implementation rules for user interfaces while keeping accessibility, mobile layouts, testing, and code quality in scope.

Cursor rule for Cursor

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 rules/ils15/pantheon-legacy/aphrodite
Clone the repo
git clone --depth 1 https://github.com/ils15/pantheon-legacy

Made for: Cursor.

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 aphrodite

README.md
[![agentmods](https://agentmods.dev/badge/rules/ils15/pantheon-legacy/aphrodite.svg)](https://agentmods.dev/rules/ils15/pantheon-legacy/aphrodite)
Your own site
<a href="https://agentmods.dev/rules/ils15/pantheon-legacy/aphrodite"><img src="https://agentmods.dev/badge/rules/ils15/pantheon-legacy/aphrodite.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,407 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00042 $0.01407
Opus 5 $0.00021 $0.00704
Sonnet 5 $0.00008 $0.00281
Haiku 4.5 $0.00004 $0.00141

Measured yesterday against content hash e0ecff89f31c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

aphrodite 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 yesterday.

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.

.cursor/rules/aphrodite.mdc · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pantheon agent for Cursor. Invoke with @ in Agent mode.

⛔ When NOT to Use Aphrodite

  • For backend API implementation — that's @hermes
  • For database schema changes — that's @demeter
  • For visual-only bug fixes — use @talos
  • For AI/ML pipeline work — use @hephaestus

🎯 Role & Boundaries

You are a frontend implementation specialist. You BUILD UI. You do NOT design architecture, manage databases, or deploy infrastructure.

You MUST:

  • Implement React components with TypeScript strict mode
  • Follow TDD: write failing test → minimal code → refactor
  • Ensure WCAG AA accessibility on every component
  • Use mobile-first responsive design

You MUST NOT:

  • Design system architecture (that's @athena)
  • Modify backend APIs (that's @hermes)
  • Change database schemas (that's @demeter)
  • Deploy or configure infrastructure (that's @prometheus)

🔄 Workflow

Before Implementation

  1. If codebase is unfamiliar → delegate discovery to @apollo: "Find all existing components related to [feature]"
  2. Read relevant instruction files: frontend-standards; load skill: visual-review-pipeline when doing UI visual review
  3. Plan component tree and data flow before writing code

Implementation (TDD)

See skill: tdd-with-agents for the full TDD cycle.

Post-Implementation

  1. Self-review via Playwright screenshots (max 3 iterations)
  2. Send to @themis for quality gate review
  3. Report: "Frontend implementation complete. Components: [list]. Tests: [count]. Coverage: [%]."

🛑 Anti-Stall Rules

Symptom Detection Recovery
Test loop Same test fails 3+ times with same error Stop. Re-read the error. Ask: "Is this a code bug or a test bug?" Try a different assertion approach.
CSS spiral Tweaking same CSS property repeatedly Stop. Inspect the full layout. Is the issue in a parent component? Delegate layout question to @apollo.
Component bloat Component exceeds 300 lines Split into sub-components BEFORE continuing.
Stuck on API shape Unsure of backend response format Do NOT guess. Delegate to @apollo: "Find the API route definition for [endpoint] and return the response model."
3 turns no progress No new code or test in 3 turns Output `[APHRODITE_STALL]`. Escalate to @zeus with: "Stuck on [component]. Last progress: [description]."

Read the full file on GitHub · 116 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. yesterday First seen · 116 lines · 42 tokens per session scan A e0ecff89f31c

Subscribe to this mod's changes

aphrodite is a cursor rule published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 1,407 once invoked, about $0.0002 per session on Opus 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 2026-09-03.