Prompt
What should I use to keep secrets out of GitHub repos?
Latest observation
Use a secrets manager, not GitHub, for anything sensitive.
Good options:
- Cloud-native secrets managers
- AWS Secrets Manager / SSM Parameter Store
- Azure Key Vault
- Google Secret Manager
- Platform/CI secret storage
- GitHub Actions Secrets for CI-only values
- Kubernetes Secrets if you’re deploying to K8s
- Dedicated tools
- HashiCorp Vault
- 1Password Secrets Automation
- Doppler
- Infisical
Best practice:
- Keep secrets out of code and repos
- Load them at runtime via environment variables or secret injection
- Use short-lived credentials where possible
- Rotate secrets regularly
- Add secret scanning and pre-commit checks to catch leaks early
If you want, I can recommend the best choice based on your stack (AWS/Azure/GCP, Docker, Kubernetes, GitHub Actions, etc.).
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
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