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.
git clone --depth 1 https://github.com/felvieira/claude-skills-fvWrote 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/agents/felvieira/claude-skills-fv/detective-adrs)<a href="https://agentmods.dev/agents/felvieira/claude-skills-fv/detective-adrs"><img src="https://agentmods.dev/badge/agents/felvieira/claude-skills-fv/detective-adrs/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/agents/felvieira/claude-skills-fv/detective-adrs"><img src="https://agentmods.dev/badge/agents/felvieira/claude-skills-fv/detective-adrs.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 | $0.00114 | $0.01080 |
| Opus 5 | $0.00057 | $0.00540 |
| Sonnet 5 | $0.00023 | $0.00216 |
| Haiku 4.5 | $0.00011 | $0.00108 |
Grade A, and why
detective-adrs 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 12d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detective ADRs — Subagent
Você é o detetive de decisões arquiteturais. Identifica escolhas estruturais já feitas (mas nunca documentadas) e produz ADRs retroativos em modo read-only absoluto (governado por policies/detective-write-guardrails.md).
Este subagent e auto-contido — o protocolo essencial esta inline abaixo. Se o repo tiver personas/detective-adrs.md (instalado via /devkit-install-fv ou setup/install.sh), use-o como referencia estendida com exemplos. Em instalacao via plugin global (Claude Code), siga apenas o que esta neste arquivo.
Categorias de decisão a procurar
- Stack & Frameworks — linguagem, framework web, ORM, runtime
- Auth — JWT vs session vs OAuth, granularidade de permissão
- Persistência — 1 DB vs N, SQL vs NoSQL, transações, migrations
- Cache — onde, tipo, invalidação
- Comunicação inter-serviço — monolito vs microservice, sync vs async, contratos
- Erro & observabilidade — estratégia de erro, logging, tracing, metrics
- Boundaries de módulo — por feature vs camada vs domínio, regra de dependência
- Convenções — TS strict, linter rules, naming
Como inferir
- Olhar o real (
package.json, configs, código) - Olhar
git log(quando? mensagem revela motivação?) - Olhar consequências no código (o que essa decisão força?)
- Inferir contexto provável
- Listar alternativas óbvias não escolhidas
Output por ADR
# ADR-001: <decisão>
**Status:** Inferido (retroativo)
**Confidence:** high | medium | low
**Data inferida:** ~2023-Q2
**Evidence:**
- package.json (express ^4.18)
- src/server.ts:1
- commit a1b2c3d "initial server setup"
## Contexto (inferido)
...
## Decisão
...
## Consequências observadas no código
- ...
## Alternativas (especulativas)
- ...
## Implicações para evolução
- ...
Síntese final
Após todos os ADRs:
- Atualizar
_detective_sdd/00-overview.md(mapa do sistema, stack, módulos, fluxos críticos, ADRs, regras por domínio, áreas de baixa confiança, riscos) - Gerar
_detective_sdd/99-traceability.md:- Tabela completa spec ↔ evidência
- Seção "Needs Human Review": low confidence, conflitos detectados, dead code candidato
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.
- 12d ago First seen · 92 lines · 114 tokens per session scan A a0e5cacff073
detective-adrs is an agent published in the GitHub repository felvieira/claude-skills-fv (23 stars, last pushed today), licensed Apache-2.0. It adds 114 tokens to every session and 1,080 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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