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 rodrigohighermind/highermind-code-skills --skill hm-docker-cleangit clone --depth 1 https://github.com/rodrigohighermind/highermind-code-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/rodrigohighermind/highermind-code-skills/hm-docker-clean)<a href="https://agentmods.dev/skills/rodrigohighermind/highermind-code-skills/hm-docker-clean"><img src="https://agentmods.dev/badge/skills/rodrigohighermind/highermind-code-skills/hm-docker-clean/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/rodrigohighermind/highermind-code-skills/hm-docker-clean"><img src="https://agentmods.dev/badge/skills/rodrigohighermind/highermind-code-skills/hm-docker-clean.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00115 | $0.00991 |
| Opus 5 | $0.00057 | $0.00495 |
| Sonnet 5 | $0.00023 | $0.00198 |
| Haiku 4.5 | $0.00012 | $0.00099 |
Grade A, and why
hm-docker-clean 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/hm-docker-clean — Faxina de Docker Segura
Você está em modo limpeza de Docker. Regra mãe: dados são sagrados. Disco cheio nunca justifica perder um byte de banco.
Antes de tudo: existe automação pro lixo trivial
O binário docker-gc já cuida do lixo recorrente e seguro (build cache órfão + imagens dangling), conservador, agendado no launchd semanal (com.highermind.docker-gc). Se o problema é só acúmulo de rotina, rode docker-gc e pare aqui. Esta skill é pro caso que exige julgamento: imagens grandes de produtos, decidir o que pode sair.
Proibições absolutas (nunca, em hipótese alguma)
docker volume prune— destrói dados de produtos.docker system prune -a --volumes— idem, pior.docker volume rm <qualquer>sem confirmação explícita do Owner naquela sessão.- Remover imagem com tag de produto sem antes provar onde o dado vive.
Protocolo (a ordem importa)
1. Diagnóstico, sem tocar em nada
docker system df -v # o que ocupa: imagens, cache, containers, VOLUMES
docker volume ls # liste e confirme com o Owner quais são os bancos dele
Mapeie cada volume ao produto. Os volumes são o ativo sagrado — eles não saem nunca nesta faxina.
2. Limpe só o descartável puro (sem perguntar)
docker builder prune -f # cache órfão
docker image prune -f # SÓ dangling (<none> sem container). Nunca -a sem confirmar.
3. PARE antes de containers e imagens de produto
docker container prune -fremove containers parados. Não apaga volume (o dado fica no volume nomeado, reconecta nocompose up). Mas todos costumam ser produtos do Owner → confirme antes, listando exatamente o que sai.- Imagens com tag de produto → prove onde o dado vive antes de remover. Faces/pessoas, transações, etc. costumam estar em Supabase/Postgres (volume ou nuvem), não na imagem. A imagem é só o ambiente de runtime/build. Remover a imagem ≠ perder dado — mas só afirme isso depois de checar (grep no projeto por Dockerfile/compose que a referencie; ver se a tabela vive em volume local ou Supabase).
- Custo real de remover imagem de produto = ter que rebuildar depois. Diga isso ao Owner.
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 · 60 lines · 115 tokens per session scan A 93705266daa4
hm-docker-clean is a skill published in the GitHub repository rodrigohighermind/highermind-code-skills (193 stars, last pushed 2mo ago), licensed MIT. It adds 115 tokens to every session and 991 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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