ralphy: Skill for Claude Code

.agents/skills/ugc-ad/SKILL.md

ugc-ad is a skill for Claude Code, Codex from alecs5am/ralphy. It costs 231 tokens per session (1,812 once invoked), scanned A, original, Apache-2.0.

A guide for creating realistic user-generated-content ads, meaning short ads that look like ordinary people reviewing or demonstrating a product. It defines the creator, filming script, opening problem, and natural mannerisms.

In plain words
What is it for?
Use it for testimonial ads, product reviews, problem-and-solution videos, and before-and-after videos featuring a talking creator.
Why use it?
It helps avoid ads that feel artificial or overly polished. It gives the production process a consistent shape for believable creator-led videos.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is alecs5am/ralphy's own configuration. It tells Claude Code and Codex how to work on ralphy 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 ralphy configures →

Reuse

Borrowing it

Nothing to install: this file belongs to alecs5am/ralphy. 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/alecs5am/ralphy/main/.agents/skills/ugc-ad/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/alecs5am/ralphy

Made for: Claude Code, Codex.

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 ugc-ad

README.md
[![agentmods](https://agentmods.dev/badge/skills/alecs5am/ralphy/ugc-ad/github.svg)](https://agentmods.dev/skills/alecs5am/ralphy/ugc-ad)
Your own site
<a href="https://agentmods.dev/skills/alecs5am/ralphy/ugc-ad"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/ugc-ad/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 ugc-ad

Your own site · 80×15
<a href="https://agentmods.dev/skills/alecs5am/ralphy/ugc-ad"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/ugc-ad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 231 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,812 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 79
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 5.1 $0.00231 $0.01812
Opus 5 $0.00115 $0.00906
Sonnet 5 $0.00046 $0.00362
Haiku 4.5 $0.00023 $0.00181

Measured 9d ago against content hash 152e39729a66, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ugc-ad 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 9d 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.

.agents/skills/ugc-ad/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trigger

FIRES on a generic UGC-ad brief: "make a UGC ad for ", "creator reviewing my ", "testimonial ad", "problem/solution short for ", "before/after for " (when the emphasis is a talking creator, not a pure product montage).

DO NOT FIRE when:

  • The user points at one specific ad to reproduce → remix path (ralphy template use <slug>). See docs/skills-vs-templates.md.
  • The user wants to swap only the creator/person in an existing clip → /ugc-model-swap.
  • The brief is a static image ad, not video → that is a different niche.

What this skill is

A generalized overlay, not a finished ad. It tells the pipeline HOW believable UGC ads work so the scenarist and art-director produce a strong one for whatever the user is selling. It runs through the normal pipeline and never bypasses the intake gates, the reference-required gate, or the quality gates.

Hard invariants

  • Provider invariants stand. All generation via ralphy generate (OpenRouter media + ElevenLabs only — no FAL, no Higgsfield, no Canva, no raw API). Renders via ralphy render <id>. Read MODELS.md before naming any model id.
  • Reference gate. A named real brand product ("iPhone 16", "CeraVe cleanser") fires the reference-required gate — refuse without a ref photo or logged --no-ref-consent. A no-name / generic product proceeds without a ref.
  • AI-creator faces are synthetic personas, not real people. Build a consistent non-existent creator (see workflow). Do not face-mix toward a recognizable real person.
  • Music is a separate ElevenLabs pass. Kling --audio is for the VO/lipsync only; ban music in the Kling prompt and overlay an instrumental bed in the editor stage (per MEMORY.md Kling-no-music note).

The niche, in one paragraph

A UGC ad lives or dies on believability and the first 3 seconds. The viewer must feel a real person is talking to them, not a brand. The hook is a problem mirror — show the viewer their own problem so they stop scrolling because they see themselves. Then a transformation/hope beat, then a real verdict, then a low-friction CTA. Trust comes from mannerisms (a nervous laugh, a hair tuck, direct eye contact, pointing at the product) far more than from polished delivery. The single biggest AI tell is a too-perfect, too-symmetrical creator and a studio-clean voice — fight both.

Read the full file on GitHub · 81 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. 9d ago First seen · 81 lines · 231 tokens per session scan A 152e39729a66

Subscribe to this mod's changes

ugc-ad is a skill published in the GitHub repository alecs5am/ralphy (132 stars, last pushed 14d ago), licensed Apache-2.0. It adds 231 tokens to every session and 1,812 once invoked, about $0.0012 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 2026-08-30.

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