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.
git clone --depth 1 https://github.com/manushi4/ScreenhandWrote 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/agents/manushi4/screenhand/design-agent)<a href="https://agentmods.dev/agents/manushi4/screenhand/design-agent"><img src="https://agentmods.dev/badge/agents/manushi4/screenhand/design-agent/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/agents/manushi4/screenhand/design-agent"><img src="https://agentmods.dev/badge/agents/manushi4/screenhand/design-agent.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 | $0.00051 | $0.01068 |
| Opus 5.5 | $0.00020 | $0.00427 |
| Sonnet 5.5 | $0.00010 | $0.00214 |
| Haiku 4.5 | $0.00005 | $0.00107 |
Grade A, and why
design-agent 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 94 lines · 51 tokens per session scan A c36fb6db24fa
design-agent is an agent published in the GitHub repository manushi4/Screenhand (15 stars, last pushed 6mo ago), licensed AGPL-3.0. It adds 51 tokens to every session and 1,068 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
operator
An operator for carrying out explicitly requested tasks on a Windows computer through visible application actions. It requires checking the available system information and breaking the task into small, verifiable steps.
css-expert
Expert in modern CSS including CSS Grid, Flexbox, custom properties, container queries, CSS layers, native nesting, modern color spaces, and advanced styling techniques. Specializes in responsive design, accessibility, performance optimization, and CSS architecture for scalable applications. Examples: Context: User…
design-md-consumer
Load when the user's project ships a design contract — a .design file (schema design.v1) or a DESIGN.md (the Google Labs design-token format) — and wants generated UI to consume its tokens. Discovers the contract, resolves precedence, normalizes the tokens, and produces TypeScript / CSS variables / a Tailwind config /…
agentation-fix-loop
Load when the user is running an Agentation two-session workflow and you are the Session 2 (fix) side. Watches MCP annotations from the critique session, reads each annotation's selector + file path + critique, applies the fix in code, commits, and loops to the next. Use only when the agentation MCP server is…
prompt-ux-designer
Designs the prompt input experience for AI features — input pattern, suggestion system, feedback loop, history, and constraints. Use before implementing any AI prompt input or chat interface.
design-auditor
Master audit orchestrator. Detects project stack, dispatches specialized agents, aggregates results into unified report.