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/andersonlemesc/OryntraWrote 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/rules/andersonlemesc/oryntra/security)<a href="https://agentmods.dev/rules/andersonlemesc/oryntra/security"><img src="https://agentmods.dev/badge/rules/andersonlemesc/oryntra/security/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/rules/andersonlemesc/oryntra/security"><img src="https://agentmods.dev/badge/rules/andersonlemesc/oryntra/security.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 | $0.00297 | $0.00297 |
| Opus 5.5 | $0.00119 | $0.00119 |
| Sonnet 5.5 | $0.00059 | $0.00059 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
security 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 1mo 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
Segurança Oryntra
Tenancy
workspace_idem toda query, model, scope. Sem exceção.- Filament tenancy automatiza, mas confirmar em jobs/services manuais
- RAG: filtrar
document_chunksporworkspace_idantes de retornar
Tokens e secrets
- Chaves Chatwoot, LLM (BYOK), recovery codes → cast
encrypted - Nunca logar tokens (mesmo em debug)
.envjamais commitado (.gitignore cuida)INTERNAL_API_TOKENrotacionável via env
Webhooks
- Validar assinatura HMAC do Chatwoot via
secretda tabelawebhooks - Idempotência por
chatwoot_message_id(unique index) - Rate limit por
connection_uuid
Python privado
- Endpoint público só em Laravel. Python só atrás de
agent-python:8000interno - Toda chamada Python exige header
X-Internal-Token - Em produção: considerar mTLS adicional
Auth Filament
- 2FA obrigatório pra roles
super_admineworkspace_admin - Password confirmation antes de: trocar email, criar API key, deletar workspace
- Recovery codes só visíveis uma vez (gerar e exibir, depois só revogar/regenerar)
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.
- 1mo ago First seen · 33 lines · 297 tokens per session scan A 1f14edb8dffa
security is a cursor rule published in the GitHub repository andersonlemesc/Oryntra (7 stars, last pushed today), licensed Apache-2.0. It adds 297 tokens to every session, about $0.0012 per session on Opus 5.5. 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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