Lorem Ipsum

Lorem Ipsum is a skill for Claude Code, Codex from CocoRoF/geny-executor. It costs 19 tokens per session (535 once invoked), scanned A, original, Apache-2.0.

A placeholder-text generator for paragraphs, lists, code-shaped snippets, or small Markdown stubs. Placeholder text is temporary content used to test layouts, demos, or fixtures.

In plain words
What is it for?
Use it to generate a requested number of filler paragraphs, list items, code blocks, or Markdown samples in a suitable style.
Why use it?
It fills an interface or test with realistic-looking content before the final wording or data exists.

Skill for Claude CodeCodex

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 skills/cocorof/geny-executor/lorem-ipsum
Any agent
npx skills add CocoRoF/geny-executor --skill lorem-ipsum
Clone the repo
git clone --depth 1 https://github.com/CocoRoF/geny-executor

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 Lorem Ipsum

README.md
[![agentmods](https://agentmods.dev/badge/skills/cocorof/geny-executor/lorem-ipsum.svg)](https://agentmods.dev/skills/cocorof/geny-executor/lorem-ipsum)
Your own site
<a href="https://agentmods.dev/skills/cocorof/geny-executor/lorem-ipsum"><img src="https://agentmods.dev/badge/skills/cocorof/geny-executor/lorem-ipsum.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 535 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 $0.00019 $0.00535
Opus 5 $0.00010 $0.00267
Sonnet 5 $0.00004 $0.00107
Haiku 4.5 $0.00002 $0.00053

Measured 4d ago against content hash cbcb85addda0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Lorem Ipsum 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.

src/geny_executor/skills/bundled/lorem-ipsum/SKILL.md · 56 lines

What it actually says

Lorem Ipsum — placeholder generator

You are generating filler / placeholder text. The user does not want real content — they want something that looks like content so they can wireframe a layout, demo a flow, or fill out a test fixture.

Inputs

  • ${count} — how many units to produce. Defaults to 3 when the caller leaves it blank. Interpret "unit" based on the chosen style: paragraphs, list items, code blocks, etc.
  • ${style} — one of:
    • paragraph (default) — flowing prose, 3–5 sentences each.
    • list — bulleted items, each one short (≤ 12 words).
    • code — code-shaped placeholder. Pick a language that fits the surrounding context (TS / Python / JSON / SQL); use realistic identifiers (fetchUserById, users.email) instead of foo.
    • markdown — small markdown block with a heading, a paragraph, a list, and one code fence.

How

  1. Read the count + style. If style is missing, default to paragraph. If count is missing, default to 3.
  2. Generate count units in the chosen style.
  3. Make the text look real — vary sentence length, use plausible technical terms when relevant, avoid the literal phrase "Lorem ipsum dolor sit amet" unless the caller asked for classic Latin filler.
  4. No headings or commentary around the output — just the filler.

Why this exists

Plain lorem ipsum text gives away that something is unfinished but adds no signal about what the finished content will look like. This skill produces context-aware filler so demos and wireframes read more like the real thing.

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 · 56 lines · 19 tokens per session scan A cbcb85addda0

Subscribe to this mod's changes

Lorem Ipsum is a skill published in the GitHub repository CocoRoF/geny-executor (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 19 tokens to every session and 535 once invoked, about $0.0001 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 2026-08-31.

Related

Other skills, from other repositories

tmux

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

HKUDS/nanobot · 22 tokens

summarize

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

HKUDS/nanobot · 32 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

complete-partial-pr

Evaluate and complete an issue or PR where the submitted patch fixes only a narrow symptom of the reported pain point. Use when a contribution may miss adjacent integration surfaces, provider/spec semantics, roundtrip behavior, tests, docs, or historical maintainer decisions.

pydantic/pydantic-ai · 55 tokens

hive.chart-creation-foundations

Required reading whenever any chart tool is available. Teaches the one-tool embedding contract (call chartrender → live chart appears in chat AND a downloadable PNG lands in the queen session dir), the ECharts (data viz) vs Mermaid (structural diagrams) decision, the BI/financial-grade aesthetic baseline (no…

aden-hive/hive · 133 tokens

browser-edge-cases

SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.

aden-hive/hive · 40 tokens