Borrowing it
Nothing to install: this file belongs to Eduardo-Salvador/Agent-Harness-Kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Eduardo-Salvador/Agent-Harness-Kit/main/.agents/skills/frontend-screen/SKILL.mdgit clone --depth 1 https://github.com/Eduardo-Salvador/Agent-Harness-KitWrote 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/eduardo-salvador/agent-harness-kit/frontend-screen)<a href="https://agentmods.dev/skills/eduardo-salvador/agent-harness-kit/frontend-screen"><img src="https://agentmods.dev/badge/skills/eduardo-salvador/agent-harness-kit/frontend-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/eduardo-salvador/agent-harness-kit/frontend-screen"><img src="https://agentmods.dev/badge/skills/eduardo-salvador/agent-harness-kit/frontend-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 | $0.00032 | $0.00270 |
| Opus 5.5 | $0.00013 | $0.00108 |
| Sonnet 5.5 | $0.00006 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
frontend-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 1mo 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.
What it actually says
Frontend screen
Use this skill automatically for a requested screen, page, landing page, portfolio, responsive section, material visual redesign, or implementation from approved screenshots. Do not invoke it for a tiny style correction or logic-only change.
Follow the shared frontend screen playbook. Load only the approved project context, assigned task, relevant rules, capability manifest, existing frontend evidence, and linked execution budget.
Treat design-taste-frontend, imagegen-frontend-web, imagegen, and image-to-code as named capabilities, not assumed installation. Record availability and degradation explicitly. With approved desktop/mobile screenshots, make image-to-code the primary coding skill for screenshot interpretation, proportions, components, and responsive implementation; keep frontend-screen responsible for desktop/mobile coverage and fidelity checks; use imagegen only for temporary photographs or raster assets, never code. Preserve the task write lease, existing stack, user scope, one consolidated visual approval when needed, and the normal completion/review rules. Store project-bound visual assets inside the project and record final paths in the handoff.
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.
- 1mo ago First seen · 13 lines · 32 tokens per session scan A 8c584e3d0bcc
frontend-screen is a skill published in the GitHub repository Eduardo-Salvador/Agent-Harness-Kit (6 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 270 once invoked, about $0.0001 per session on Opus 5.5. 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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