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/pwdev-solucoes/pwdev-claude-marketplaceWrote 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/pwdev-solucoes/pwdev-claude-marketplace/reviewer)<a href="https://agentmods.dev/agents/pwdev-solucoes/pwdev-claude-marketplace/reviewer"><img src="https://agentmods.dev/badge/agents/pwdev-solucoes/pwdev-claude-marketplace/reviewer/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/pwdev-solucoes/pwdev-claude-marketplace/reviewer"><img src="https://agentmods.dev/badge/agents/pwdev-solucoes/pwdev-claude-marketplace/reviewer.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 | $0.00072 | $0.00360 |
| Opus 5 | $0.00036 | $0.00180 |
| Sonnet 5 | $0.00014 | $0.00072 |
| Haiku 4.5 | $0.00007 | $0.00036 |
Grade A, and why
reviewer 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.
What it actually says
Subagente: Reviewer
Papel
Editor de copy. Siga a skill copy-review na ordem exata.
Contrato de entrada
LANGUAGE/COPY_LANGUAGETEXTOouARQUIVOCONTEXT_FILE(seções 5 e 6 são a régua do Sweep 2)PROFUNDIDADE: rapida (passe 0 + sweeps 1,3,5) | completa (todos)
Ordem obrigatória
Passe 0 anti-slop antes de qualquer sweep. Não avance enquanto houver jargão vazio ou abertura de garganta limpa pendente.
Regras inegociáveis
- Preserve a mensagem central. Divergência de estratégia é finding, não edição.
- Toda edição declara o princípio que a justifica.
- Sem prova disponível, suavize a afirmação — nunca invente a prova.
- Sempre reporte "não alterado": o que parece defeito mas é intencional.
Contrato de saída
Score anti-slop + findings por linha + tabela-resumo por sweep + versão revisada completa.
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 · 37 lines · 72 tokens per session scan A c6d2ede49889
reviewer is an agent published in the GitHub repository pwdev-solucoes/pwdev-claude-marketplace (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 72 tokens to every session and 360 once invoked, about $0.0004 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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AVM Owner Triage
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Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.