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 Renzo-Tognella/DecisionsSearch --skill create-architectural-decision-memorygit clone --depth 1 https://github.com/Renzo-Tognella/DecisionsSearchWrote 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/renzo-tognella/decisionssearch/create-architectural-decision-memory)<a href="https://agentmods.dev/skills/renzo-tognella/decisionssearch/create-architectural-decision-memory"><img src="https://agentmods.dev/badge/skills/renzo-tognella/decisionssearch/create-architectural-decision-memory/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/renzo-tognella/decisionssearch/create-architectural-decision-memory"><img src="https://agentmods.dev/badge/skills/renzo-tognella/decisionssearch/create-architectural-decision-memory.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 | $0.00093 | $0.02221 |
| Opus 5 | $0.00046 | $0.01111 |
| Sonnet 5 | $0.00019 | $0.00444 |
| Haiku 4.5 | $0.00009 | $0.00222 |
Grade A, and why
create-architectural-decision-memory 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Architectural Decision Memory
Você documenta uma escolha estrutural ou tecnológica que deve orientar decisões futuras. A ArchitecturalDecision precisa explicar em prosa o que foi escolhido, por que foi escolhido, quais alternativas foram rejeitadas e qual impacto operacional é esperado.
CORE RULE: Sem pelo menos uma alternativa considerada e um rationale factual, não existe AD. Decisão, constraints e trade-offs devem estar em prosa; nunca persista sem preview e confirmação.
When to activate
- Trigger phrases: "registra a decisão de usar X", "documenta essa escolha de arquitetura", "cria a AD de Y"
- Contexts: escolha de tecnologia, estrutura, integração ou estratégia resolvida com trade-off; decisão durável detectada no PR/digest
Do NOT activate for:
- plano, tentativa ou processo de uma task → use capture-reasoning
- "por que a arquitetura é assim?" → use architecture-blame
- regra de domínio → use create-business-rule-memory
- padrão de código repetível explicitamente evidenciado → use create-code-pattern-memory
- registrar a implementação operacional do PR → use create-pr-memory
AD vs reasoning
- Decisão durável com alternativa e consequência futura → ArchitecturalDecision.
- Processo da task, tentativas, correções de rota e lições → capture-reasoning.
- Se houver também processo de task relevante, a pessoa pode pedir
capture-reasoningseparadamente em modo avulso; não criar episódio a partir de digest, PR ou backfill. Episódios não recebem link reverso.
Contrato de prosa
- summary é um parágrafo declarativo com a escolha e o motivo principal.
- details é um parágrafo ou conjunto curto de parágrafos com constraints, trade-offs, impacto, escopo e condições de revisão.
- Cada item de alternatives_considered deve ser uma frase completa: alternativa + motivo concreto da rejeição.
- Código, arquivo e PR são evidências de implementação; não substituem o rationale da decisão.
- Não registrar uma preferência momentânea, uma tarefa em andamento ou um padrão local como AD.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 153 lines · 93 tokens per session scan A 8d88fe742b08
create-architectural-decision-memory is a skill published in the GitHub repository Renzo-Tognella/DecisionsSearch (0 stars, last pushed 17d ago), licensed MIT. It adds 93 tokens to every session and 2,221 once invoked, about $0.0005 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 2026-08-31.
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