screensdesign-data

screensdesign-data is a skill for Codex from screensdesign-com/screensdesign-agent-skill. It costs 91 tokens per session (2,084 once invoked), scanned A, original, MIT.

Mobile-app market research through ScreensDesign, covering competitors, App Store reviews, onboarding, paywalls, recorded screens, user flows, marketing images, developers, and saved collections.

In plain words
What is it for?
Use it to study competitors, understand app onboarding and pricing screens, review user journeys, or develop mobile product ideas.
Why use it?
It gathers information about existing mobile apps in one research workflow, reducing the need to inspect each source separately.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to study competitors, understand app onboarding and pricing screens, review user journeys, or develop mobile product ideas.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/screensdesign-com/screensdesign-agent-skill/screensdesign-data
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.

Any agent
npx skills add screensdesign-com/screensdesign-agent-skill --skill screensdesign-data
Clone the repo
git clone --depth 1 https://github.com/screensdesign-com/screensdesign-agent-skill

Made for: 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 screensdesign-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/screensdesign-com/screensdesign-agent-skill/screensdesign-data/github.svg)](https://agentmods.dev/skills/screensdesign-com/screensdesign-agent-skill/screensdesign-data)
Your own site
<a href="https://agentmods.dev/skills/screensdesign-com/screensdesign-agent-skill/screensdesign-data"><img src="https://agentmods.dev/badge/skills/screensdesign-com/screensdesign-agent-skill/screensdesign-data/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 screensdesign-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/screensdesign-com/screensdesign-agent-skill/screensdesign-data"><img src="https://agentmods.dev/badge/skills/screensdesign-com/screensdesign-agent-skill/screensdesign-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,084 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
  • Socket pass 17 Aug 2026
  • Snyk pass 17 Aug 2026
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 $0.00091 $0.02084
Opus 5 $0.00046 $0.01042
Sonnet 5 $0.00018 $0.00417
Haiku 4.5 $0.00009 $0.00208

Measured 9d ago against content hash 2ceb1726fbaa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

screensdesign-data 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.

screensdesign-data/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ScreensDesign Data

Release: 1.0.8 · MCP contract: 2

Use ScreensDesign as an evidence-first mobile-app research source. Its hosted MCP is read-only and returns public app links, recorded-product evidence, App Store creatives, performance estimates, and saved collection context.

Check This Skill Once

When get_screensdesign_skill is available, call it once per conversation before the first ScreensDesign research call and pass installed_version="1.0.8".

  • If the status is current, continue without discussing the check.
  • If it is update_available, continue when compatible and briefly tell the user an update exists.
  • If it is incompatible, ask to update before relying on workflows whose contracts may have changed.
  • If the check tool is unavailable, continue with the live tool schemas. Never repeat the check in the same conversation.

The live MCP tool name, description, and input schema override local examples when they disagree with this skill.

Load Only What You Need

User intent Read
Find apps, compare competitors, inspect an app URL, or research developers workflows/app-research.md
Discover broader-market apps, find semantic competitors, inspect public listings, or analyze App Store reviews workflows/market-research.md
Find recorded screens, verify sequence, inspect flows, compare paywalls, use an attached image, or research App Store creatives workflows/screen-research.md
Filter apps by detected onboarding/paywall patterns and counts workflows/app-intelligence.md
Read the user's saved app collections workflows/saved-research.md
Suggest useful next research after answering workflows/completion-followups.md
Need exact tool parameters and limits references/tools.md
Need returned field meanings references/response-fields.md
Need authentication or setup help references/connection.md

Research Workflow

  1. Identify the entity, scope, platform, time frame, and comparison criteria.
  2. Start with the narrowest useful discovery call and apply filters early.
  3. Resolve exact apps, screens, or flows from returned results. Reuse returned identifiers; never invent them.
  4. Inspect only the records needed to support the answer. For visual or sequence claims, use screen, flow, or replay evidence rather than app metadata alone.
  5. Stop once the evidence supports a useful answer. Do not repeat successful calls with unchanged arguments.

Read the full file on GitHub · 105 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 · 105 lines · 91 tokens per session scan A 2ceb1726fbaa

Subscribe to this mod's changes

screensdesign-data is a skill published in the GitHub repository screensdesign-com/screensdesign-agent-skill (1 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 2,084 once invoked, about $0.0005 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.

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