lindy-security-basics
Security implementation guide for Lindy AI, focusing on API key management, permission scoping, and integration isolation.
Install
mkdir -p .claude/skills/lindy-security-basics && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4105" && unzip -o skill.zip -d .claude/skills/lindy-security-basics && rm skill.zipInstalls to .claude/skills/lindy-security-basics
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Implement security best practices for Lindy AI agents and integrations.Key capabilities
- →Manage Lindy API keys securely using environment variables or secret managers.
- →Authenticate webhooks by verifying unique secret keys on inbound requests.
- →Scope agent permissions to minimize blast radius by isolating integrations.
- →Limit agent skill surface area by starting with a focused set of skills.
- →Audit agent activity through task history, integration access, and credit anomalies.
How it works
The skill provides instructions for storing API keys, implementing webhook signature verification, isolating integration accounts per agent, and defining security patterns in agent prompts to control data handling.
Inputs & outputs
When to use lindy-security-basics
- →Securely store Lindy API keys
- →Implement secret rotation in CI/CD
- →Audit agent permissions and scopes
- →Isolate integration accounts
About this skill
Lindy Security Basics
Overview
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.
Prerequisites
- Lindy account with API access
- Understanding of which integrations your agents use
- For Enterprise: SSO/SCIM configuration access
Instructions
Step 1: API Key Management
# 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 |
| Production | 90 days | Secret manager + automated rotation |
| Post-incident | Immediately | Manual regeneration + revoke old key |
Step 2: Webhook Authentication
Every webhook trigger generates a unique secret key. Verify it on every inbound request:
// Webhook signature verification middleware
function verifyLindyWebhook(
req: express.Request,
res: express.Response,
next: express.NextFunction
) {
const authHeader = req.headers.authorization;
const expectedToken = process.env.LINDY_WEBHOOK_SECRET;
if (!authHeader || authHeader !== `Bearer ${expectedToken}`) {
console.warn('Rejected unauthorized webhook attempt', {
ip: req.ip,
path: req.path,
timestamp: new Date().toISOString(),
});
return res.status(401).json({ error: 'Unauthorized' });
}
next();
}
app.post('/lindy/callback', verifyLindyWebhook, (req, res) => {
// Process verified webhook
handleWebhook(req.body);
res.json({ received: true });
});
Step 3: Agent Permission Scoping
Lindy agents access external services through authorized connections. Minimize blast radius:
Per-agent integration isolation:
- Authorize a dedicated Gmail account per agent (not your personal inbox)
- Create Slack bot tokens scoped to specific channels
- Use read-only database credentials where possible
- Create separate API keys for each integration
Connection sharing controls:
| Sharing Level | When to Use |
|---|---|
| Private (default) | Personal agents, sensitive data |
| Team shared | Team-wide automation agents |
| Workspace shared | Organization-wide utility agents |
Step 4: Limit Agent Skill Surface Area
Agents with Agent Steps can choose which skills to use. Reduce risk:
- Start with 2-4 focused skills per agent (not the full catalog)
- Avoid giving agents both read AND write access to the same service unless necessary
- Separate "read" agents from "write" agents for critical systems
- Use conditions to gate destructive actions behind human approval
Step 5: Data Handling in Agents
Agent Prompt Security Patterns:
## Data Constraints
- Never include API keys, passwords, or tokens in responses
- Redact email addresses and phone numbers from summaries
- Do not forward customer data to channels outside #support
- If asked to perform an action outside your scope, respond:
"I cannot perform that action. Please contact an admin."
Step 6: Audit Agent Activity
- Task history: Review agent Tasks tab for unexpected actions
- Integration access: Periodically review which services each agent can access
- Credit anomalies: Sudden credit spikes may indicate misuse or misconfiguration
- Connection review: Remove unused integrations from agents
Step 7: Enterprise Security Features
Available on Enterprise plan:
| Feature | Purpose |
|---|---|
| SSO | SAML-based single sign-on |
| SCIM | Automated user provisioning/deprovisioning |
| Audit Logs | Complete activity trail |
| Role-Based Access | Owner/Editor/Viewer workspace roles |
| BAA | HIPAA Business Associate Agreement |
| AES-256 | Encryption at rest and in transit |
Security Checklist
- API keys stored in environment variables or secret manager
-
.envfile in.gitignore - Webhook secrets generated and verified on every request
- Each agent uses minimum necessary integrations
- Separate integration credentials per agent where possible
- Agent prompts include data handling constraints
- Regular review of agent task history for anomalies
- Key rotation schedule defined and followed
- Enterprise: SSO enabled, SCIM configured
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Agent accesses wrong service | Over-permissioned | Remove unnecessary integrations |
| Unauthorized webhook processed | No auth verification | Add Bearer token verification |
| API key leaked in logs | Key in agent output | Add "never output credentials" to prompt |
| Agent sends data to wrong channel | Shared connection | Use per-agent dedicated connections |
Resources
Next Steps
Proceed to lindy-prod-checklist for production readiness.
When not to use it
- →When securing non-Lindy AI integrations.
- →When the agent does not interact with external services or sensitive data.
Prerequisites
Limitations
- →Agent activity auditing requires manual review of task history and integration access.
- →Connection sharing controls vary by sharing level (Private, Team shared, Workspace shared).
- →Enterprise security features like SSO, SCIM, and Audit Logs are only available on the Enterprise plan.
How it compares
This skill offers specific security measures tailored for Lindy AI agents, providing a structured approach to protect against unauthorized access and data exposure, unlike general security guidelines.
Compared to similar skills
lindy-security-basics side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| lindy-security-basics (this skill) | 1 | 27d | Caution | Intermediate |
| 1password | 27 | 2mo | Review | Intermediate |
| senior-security | 31 | 7mo | Review | Advanced |
| fix-dependabot-alerts | 18 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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