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 FluxonLab/Skillry --skill ai-prompt-engineering-safety-reviewgit clone --depth 1 https://github.com/FluxonLab/SkillryWrote 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/fluxonlab/skillry/ai-prompt-engineering-safety-review)<a href="https://agentmods.dev/skills/fluxonlab/skillry/ai-prompt-engineering-safety-review"><img src="https://agentmods.dev/badge/skills/fluxonlab/skillry/ai-prompt-engineering-safety-review/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/fluxonlab/skillry/ai-prompt-engineering-safety-review"><img src="https://agentmods.dev/badge/skills/fluxonlab/skillry/ai-prompt-engineering-safety-review.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 | $0.00050 | $0.02188 |
| Opus 5.5 | $0.00020 | $0.00875 |
| Sonnet 5.5 | $0.00010 | $0.00438 |
| Haiku 4.5 | $0.00005 | $0.00219 |
Grade A, and why
ai-prompt-engineering-safety-review 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 233 lines · 50 tokens per session scan A d4dfa1dc2bd1
ai-prompt-engineering-safety-review is a skill published in the GitHub repository FluxonLab/Skillry (6 stars, last pushed 1mo ago), with no licence file. It adds 50 tokens to every session and 2,188 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 2026-09-03.
Other skills, from other repositories
llm-app-development
LLM app development with RAG, prompt engineering, vector databases, and AI agents.
ai-product
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
metodo-3w1h
Dê a habilidade para agentes de IA de estruturar e otimizar prompts de imagens utilizando rigorosamente o método 3W1H (Who, What, Where, How) criado pelo Mário Lúcio. Utilize esta skill sempre que o usuário mencionar termos como 'gerar imagem', 'criar prompt de imagem', 'engenharia de prompt de imagem', 'fotorrealismo…
prompt-estruturado
Gera prompts a partir de uma estrutura modularizada com persona, contexto, tarefa, formato e regras.
prompt-personagem
Gera automaticamente prompts detalhados de personagens para inteligência artificial. Utilizando listas pré-definidas de atributos, o script cria descrições únicas combinando gênero, idade, tom de pele, penteado e poses variadas. Use esta skill SEMPRE que o usuário invocar o gatilho "/personagem", independentemente de…
prompt-skills
Cria prompts estruturados para skills a partir de uma estrutura modularizada de persona, contexto, tarefa, formato e regras. Auxilia a pessoa usuária a padronizar suas skills agênticas.