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.
npx skills add Maximepodgorski/agent-skills --skill design-screengit clone --depth 1 https://github.com/Maximepodgorski/agent-skillsWrote 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.
[](https://agentmods.dev/skills/maximepodgorski/agent-skills/design-screen)<a href="https://agentmods.dev/skills/maximepodgorski/agent-skills/design-screen"><img src="https://agentmods.dev/badge/skills/maximepodgorski/agent-skills/design-screen/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.
<a href="https://agentmods.dev/skills/maximepodgorski/agent-skills/design-screen"><img src="https://agentmods.dev/badge/skills/maximepodgorski/agent-skills/design-screen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00116 | $0.02923 |
| Opus 5 | $0.00058 | $0.01461 |
| Sonnet 5 | $0.00023 | $0.00585 |
| Haiku 4.5 | $0.00012 | $0.00292 |
Grade A, and why
design-screen 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Screen
Compose UI screens from existing components. Zero reinvention.
Agent Capabilities
| Capability | Used For | Required | Fallback |
|---|---|---|---|
| File read/write | Conventions, specs, progress tracking | Yes | — |
| Code search (grep/glob) | Component scan, token detection, pattern discovery | Yes | — |
| Shell/command execution | Quality gates (lint, typecheck) during ship | Recommended | List commands for user to run |
| Task/todo tracking | Ship loop progress | Recommended | Track in spec Progress section |
| User interaction | Compose option selection, stuck escalation, gap decisions | Yes | — |
| Figma MCP | Design context extraction (spec), component placement draft (craft) | Optional (required for craft) | Text-only compose mode (spec), skip craft (ship directly) |
Fallback rule: If Figma MCP is unavailable, the skill works from text input and codebase analysis. Warn the user and proceed.
Actions
| Action | Input | Output | Reference |
|---|---|---|---|
init |
(none — scans project) | ds/conventions.md |
init.md |
spec "{name}" [figma-link] |
Screen name + optional Figma link | Spec in ds/screens/active/ |
spec.md |
spec-review |
(reads active spec) | Multi-perspective review verdict | spec-review.md |
craft |
(reads active spec + Figma file) | Figma component placement draft | craft.md |
ship |
(reads active spec) | Implemented screen (ship loop) | ship.md |
review |
(reads built files + spec) | Compliance report | review.md |
Flow
Recommended (new screen):
init → spec "{name}" → spec-review → craft → ship → review
Daily use (existing project):
spec "{name}" → ship
With Figma validation:
spec "{name}" → craft → ship
Quick (simple screen, high coverage):
spec "{name}" → ship
Complex screen:
spec "{name}" → spec-review → craft → ship → review
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 12 KB
- references/actions/craft.md 9.7 KB
- references/actions/init.md 6.3 KB
- references/actions/review.md 5.6 KB
- references/actions/ship.md 11 KB
- references/actions/spec-review.md 6.7 KB
- references/actions/spec.md 9.7 KB
- references/principles/composition.md 6.2 KB
- references/principles/layout-patterns.md 12 KB
- references/principles/page-states.md 7.3 KB
- references/principles/responsive.md 7.3 KB
- references/templates/conventions.md 3.9 KB
- references/templates/outputs/craft-output.md 4.7 KB
- references/templates/outputs/init-output.md 1.4 KB
- references/templates/outputs/review-output.md 1.3 KB
- references/templates/outputs/ship-output.md 2.1 KB
- references/templates/outputs/spec-output.md 2.2 KB
- references/templates/outputs/spec-review-output.md 1.6 KB
- references/templates/spec.md 5.2 KB
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.
- 11d ago First seen · 294 lines · 116 tokens per session scan A d270efa00402
design-screen is a skill published in the GitHub repository Maximepodgorski/agent-skills (21 stars, last pushed 4mo ago), licensed MIT. It adds 116 tokens to every session and 2,923 once invoked, about $0.0006 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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