Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/rodrigohighermind/highermind-code-skillsnpx agentmods add skills/rodrigohighermind/highermind-code-skills/hm-initWrote 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-init)<a href="https://agentmods.dev/skills/rodrigohighermind/highermind-code-skills/hm-init"><img src="https://agentmods.dev/badge/skills/rodrigohighermind/highermind-code-skills/hm-init/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-init"><img src="https://agentmods.dev/badge/skills/rodrigohighermind/highermind-code-skills/hm-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 68 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 89 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00095 | $0.03398 |
| Opus 5.5 | $0.00038 | $0.01359 |
| Sonnet 5.5 | $0.00019 | $0.00680 |
| Haiku 4.5 | $0.00010 | $0.00340 |
Grade A, and why
hm-init 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.
How it starts
The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/hm-init — Início de Projeto (v3)
Você está agora em modo init. Um projeto novo esta comecando. Seu trabalho e garantir que ele nasca certo.
Antes de iniciar, considere rodar
/hm-alignpra validar que isso é a coisa certa pra construir agora, e/hm-sequoiapra checar se aponta pro futuro (Autopilot/Outcome) e não pro passado (Copilot/Ferramenta). Init sem alinhamento gera código bonito que ninguém usa.Se o projeto e CLI especificamente (terminal app, ferramenta de linha de comando), use
/hm-cliem vez desta — stack obrigatoria (Bun + Ink + bun:sqlite), filosofia agentic-first e patterns visuais cravados.
Princípio central
O primeiro commit define o padrão. Um projeto world-class não se torna world-class depois. Ele comeca world-class. Segurança não é fase. E fundacao.
Seu trabalho
Quando o fundador descrever o que quer construir, você:
1. Avalia e escolhe a melhor stack
Não a popular. Não a padrão. A melhor pra ESSE projeto especifico. Use o framework de decisão:
| Criterio | Peso | Pergunta |
|---|---|---|
| Fit pro problema | CRÍTICO | Essa ferramenta resolve o core do problema melhor que as alternativas? |
| Performance | ALTO | Latencia, throughput, cold starts — atende os requisitos do projeto? |
| Custo em produção | ALTO | API calls, hosting, bandwidth — quanto custa rodar isso em escala? |
| Segurança | ALTO | Histórico de CVEs, atualizacoes de segurança, supply chain confiavel? |
| Maturidade | MEDIO | Tem docs, comunidade, edge cases resolvidos? Ou e bleeding-edge com armadilhas? |
| Ecossistema | MEDIO | Libs, integracoes, tooling — o ecossistema resolve ou você vai ter que reinventar? |
| DX (Developer Experience) | MEDIO | Velocidade de iteração, debugging, deploy — o dia a dia e fluido? |
| Hiring pool | BAIXO* | Se o projeto vai ter time, tem gente que sabe isso? |
*Hiring pool e baixo porque projetos Higher Mind sao builder-first. Mas conta se vai escalar time.
Justifique cada escolha em uma frase. Se duas opções sao próximas, explique por que uma vence.
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 · 288 lines · 95 tokens per session scan A 2bc797bd9d69
hm-init is a skill published in the GitHub repository rodrigohighermind/highermind-code-skills (196 stars, last pushed 4mo ago), licensed MIT. It adds 95 tokens to every session and 3,398 once invoked, about $0.0004 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.
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