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 ricneves-ai/flowgrammers-skills --skill feedback-de-designgit clone --depth 1 https://github.com/ricneves-ai/flowgrammers-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/ricneves-ai/flowgrammers-skills/feedback-de-design)<a href="https://agentmods.dev/skills/ricneves-ai/flowgrammers-skills/feedback-de-design"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/feedback-de-design/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/ricneves-ai/flowgrammers-skills/feedback-de-design"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/feedback-de-design.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 | $0.00022 | $0.00315 |
| Opus 5 | $0.00011 | $0.00158 |
| Sonnet 5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
feedback-de-design 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.
What it actually says
UI Feedback
Revisão estruturada, feedback construtivo e direção de arte para projetos de interface digital: apps, sites, dashboards e protótipos.
Quando Usar
- Revisar protótipo ou tela antes de passar para desenvolvimento
- Dar feedback estruturado para designer ou agência
- Avaliar usabilidade de uma interface existente
Exemplos de Prompt
Tenho um protótipo de app de controle financeiro pessoal. Preciso de um framework
de feedback de UI/UX para revisar com meu designer. Crie um checklist de 20 pontos
cobrindo: hierarquia visual, usabilidade, consistência e acessibilidade.
Nossa tela de checkout tem abandono de 68%. Com base nas melhores práticas de UX,
quais são os 5 problemas mais comuns em checkouts e como priorizar correções
para impactar mais rapidamente a conversão?
Saídas Típicas
- Checklist estruturado de revisão de UI/UX
- Feedback organizado por prioridade (crítico/importante/sugestão)
- Referências de melhores práticas do mercado
- Próximos passos e critérios de aprovação
- Template de sessão de design review
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.
- 9d ago First seen · 37 lines · 22 tokens per session scan A df350fc7cb99
feedback-de-design is a skill published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 315 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 2026-09-03.
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