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Implement security best practices for Lindy AI agents and integrations.
Passed 17 of 22 test cases with the skill, and 7 of 22 without it.
and 11 more in the full report
10 fixed7 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Does Lindy enterprise use standard RBAC roles like Admin, Developer, Guest, or what specific workspace roles are defined?
| Checked | Without skill | With skill |
|---|---|---|
| Lists Owner, Editor, and Viewer as the workspace roles. | Missed | Passed |
The instructions your model reads when the skill loads.
Security practices for Lindy AI agents. Agents are autonomous — they connect to external services, execute actions, and handle data. Security focuses on: API key management, webhook authentication, agent permission scoping, integration account isolation, and connection sharing controls.
# Store API key in environment variable — never in source code
export LINDY_API_KEY="lnd_live_xxxxxxxxxxxxxxxxxxxx"
# Or use a secret manager
# AWS Secrets Manager
aws secretsmanager create-secret \
--name lindy/api-key \
--secret-string "$LINDY_API_KEY"
# Google Secret Manager
echo -n "$LINDY_API_KEY" | gcloud secrets create lindy-api-key \
--data-file=-
Key rotation schedule:
| Environment | Rotation Period | Method |
|---|---|---|
| Development | 30 days | Manual regeneration |
| Staging | 90 days | Automated via CI |
test cases passed, vs 7 / 22 without
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