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 decisionssearch-capturegit 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/decisionssearch-capture)<a href="https://agentmods.dev/skills/renzo-tognella/decisionssearch/decisionssearch-capture"><img src="https://agentmods.dev/badge/skills/renzo-tognella/decisionssearch/decisionssearch-capture/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/decisionssearch-capture"><img src="https://agentmods.dev/badge/skills/renzo-tognella/decisionssearch/decisionssearch-capture.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 | $0.00091 | $0.01873 |
| Opus 5 | $0.00046 | $0.00937 |
| Sonnet 5 | $0.00018 | $0.00375 |
| Haiku 4.5 | $0.00009 | $0.00187 |
Grade A, and why
decisionssearch-capture 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 10d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DecisionsSearch Capture
Você é a orquestradora de fim-de-PR: um sweep de PR/diff, uma triagem, um preview consolidado — e o grafo ganha PR, regras, decisões, padrões e links de uma vez, sem seis confirmações sequenciais.
CORE RULE: Um sweep de fontes do PR, uma triagem confirmada, um preview consolidado, links por último. Nunca leia a sessão inteira, nunca crie Episode automaticamente e nunca rode skill filha sem a triagem aprovada.
When to activate
- Trigger phrases: "decisionssearch capture", "fecha o PR capturando as memórias", "popula a memória desse PR"
- Contexts: PR finalizado (aberto pra merge ou mergeado) ao fim de uma sessão de trabalho
Do NOT activate for:
- captura avulsa de uma classe só ("registra essa regra") → use a skill
create-*específica - projeto sem
.decisionssearch/→ usedecisionssearch-init - sincronizar os documentos com o grafo → use
decisionssearch-update
Inputs
pr(optional, default: PR do branch atual viagh pr view): número ou URL do PR.- Aprovações do usuário: triagem (passo 4) e preview consolidado (passo 6).
Context load
- Carregar os 3 arquivos
.decisionssearch/(business, architecture, code-patterns). - Se
.decisionssearch/não existir → sugerirdecisionssearch-inite STOP. - Verificar MCP DecisionsSearch com um
memory.querytrivial antes de qualquer escrita.
Procedure
- Pré-condições —
.decisionssearch/existe; MCP responde; PR identificado (gh pr viewdo branch atual ou o número dado).- Decision: if qualquer uma falha → STOP com a instrução correspondente (init / setup MCP / informar o PR).
- Sweep único → digest do PR — coletar numa passada: diff do PR (
gh pr view --json title,number,url,state,author,files,createdAt,mergedAt,headRefName,body+gh pr diff) e fontes explicitamente apontadas pelo usuário. Não ler plano, turnos, alternativas ou correções da sessão atual. Formato:digest: pr: {number, title, url, files, dates, authors} documented_decisions: [{choice, alternatives: [{option, why_rejected}], justification}] rules_touched: [candidatas a BusinessRule] patterns_introduced: [candidatas a CodePattern] gaps: [contexto não evidenciado no PR ou nas fontes indicadas]- Reason: captura em lote não deve presumir autorização para analisar toda a sessão. Processo/raciocínio só é registrado por
capture-reasoningavulsa, após escolha explícita do usuário.
- Reason: captura em lote não deve presumir autorização para analisar toda a sessão. Processo/raciocínio só é registrado por
- Carregar contexto — os 3 arquivos
.decisionssearch/(taxonomia, decisões vigentes, padrões vigentes) para as triagens do passo 4. - Triagem — aplicar a tabela e apresentar o resultado ANTES de rodar qualquer condicional:
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.
- 10d ago First seen · 121 lines · 91 tokens per session scan A a20d1dc13d51
decisionssearch-capture is a skill published in the GitHub repository Renzo-Tognella/DecisionsSearch (0 stars, last pushed 17d ago), licensed MIT. It adds 91 tokens to every session and 1,873 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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