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Configure CI/CD pipelines for testing Lindy AI agent integrations.
Passed 21 of 25 test cases with the skill, and 12 of 25 without it.
and 9 more in the full report
10 fixed11 passed either way3 still failing1 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.
When our webhook handler processes a valid Lindy callback request successfully, what boolean property and value should be asserted on the JSON response body?
| Checked | Without skill | With skill |
|---|---|---|
| Asserts that res.body.received is true. | Missed | Passed |
The instructions your model reads when the skill loads.
Lindy agents run on Lindy's managed platform — CI/CD tests your integration code: webhook receivers, callback handlers, and application logic that interacts with Lindy agents. Test webhook signature verification, payload processing, and error handling without hitting live Lindy endpoints.
lindy-install-auth setupgh secret set LINDY_API_KEY --body "lnd_live_xxxxxxxxxxxx"
gh secret set LINDY_WEBHOOK_SECRET --body "whsec_xxxxxxxxxxxx"
# .github/workflows/lindy-integration.yml
name: Lindy Integration Tests
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
test cases passed, vs 12 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.