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 agentmods add skills/dgatom/dg-claw/panelnpx skills add DGatoM/DG-Claw --skill panelgit clone --depth 1 https://github.com/DGatoM/DG-ClawWrote 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/dgatom/dg-claw/panel)<a href="https://agentmods.dev/skills/dgatom/dg-claw/panel"><img src="https://agentmods.dev/badge/skills/dgatom/dg-claw/panel.svg" alt="Measured on agentmods" 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 | $0.00081 | $0.00509 |
| Opus 5 | $0.00041 | $0.00254 |
| Sonnet 5 | $0.00016 | $0.00102 |
| Haiku 4.5 | $0.00008 | $0.00051 |
Grade A, and why
panel 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 4d 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
/dgclaw:panel — Painel do agente (modo local)
Painel web local (só este computador enxerga): status vivo/mudo, medidor de memória de trabalho, working-memory e memória de longo prazo editáveis, fio da conversa do Telegram e log de compactações.
Achar a pasta do agente
Se a sessão já está na pasta do agente (existe .dgclaw/config.json aqui),
use-a. Senão, procure por Agente*/.dgclaw/config.json no home da pessoa e
confirme qual agente é.
Modo servidor (VPS,
.dgclaw/config.sh)? Este painel não é pra lá — use o painel do modo servidor (scripts/install-panel-service.sh, skill /dgclaw:memory).
Ligar
cd "<pasta do agente>" && bun .dgclaw/panel/panel.ts
Rode em segundo plano (o painel fica servindo). Ele imprime a URL —
peça pra pessoa abrir http://localhost:8200 (ou a porta do
.dgclaw/config.json). Se der "porta em uso", o painel provavelmente já está
ligado — só passe a URL.
Desligar
O painel grava o PID em .dgclaw/panel.pid. Encerre esse processo
(kill <pid> no Mac/Linux; taskkill /PID <pid> no Windows) e apague o
arquivo se sobrar.
O que explicar pra pessoa (1x)
- 🟢 ocioso / 🟠 trabalhando / 🔴 mudo (sessão fechada — abrir o launcher).
- O medidor mostra o quão perto está a próxima "organização de memória" (compactação automática) — é normal e o agente avisa antes.
- Editar a memória pelo painel vale na conversa seguinte; o agente também anota sozinho.
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.
- 4d ago First seen · 47 lines · 81 tokens per session scan A 37ce504f1d9c
panel is a skill published in the GitHub repository DGatoM/DG-Claw (5 stars, last pushed 14d ago), licensed MIT. It adds 81 tokens to every session and 509 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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