Borrowing it
Nothing to install: this file belongs to melgarafael/DeskcommCRM. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/melgarafael/DeskcommCRM/main/.claude/commands/deskcomm-gov-loop.mdgit clone --depth 1 https://github.com/melgarafael/DeskcommCRMWrote 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/commands/melgarafael/deskcommcrm/deskcomm-gov-loop)<a href="https://agentmods.dev/commands/melgarafael/deskcommcrm/deskcomm-gov-loop"><img src="https://agentmods.dev/badge/commands/melgarafael/deskcommcrm/deskcomm-gov-loop/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/commands/melgarafael/deskcommcrm/deskcomm-gov-loop"><img src="https://agentmods.dev/badge/commands/melgarafael/deskcommcrm/deskcomm-gov-loop.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 | $0.00022 | $0.00132 |
| Opus 5 | $0.00011 | $0.00066 |
| Sonnet 5 | $0.00004 | $0.00026 |
| Haiku 4.5 | $0.00002 | $0.00013 |
Grade A, and why
deskcomm-gov-loop 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
Execute o protocolo do gov-loop — DeskcommCRM (Governança de Atendimento): leia loop/LOOP.md e siga-o à risca. Lane única: core.
Lembretes que valem antes mesmo de ler o arquivo: uma sessão entrega UMA feature; o estado vem do disco e volta pro disco; gov-verifier antes de qualquer passes:true (features.json só muda via node loop/update-feature.ts); você nunca faz git push; a doutrina de domínio soberana é o CLAUDE.md deste repo.
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 · 11 lines · 22 tokens per session scan A 3cc0d902bce5
deskcomm-gov-loop is a command published in the GitHub repository melgarafael/DeskcommCRM (869 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 132 once invoked, about $0.0001 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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