ENGINEERING
Daily risk-graded digest of open dependency-bump PRs
On a daily schedule, scans all open dependency-bump PRs, grades each one by its changelog.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule
- ActionList all open dependency-bump PRsGitHub
- ActionFetch changelog per PR version rangeGitHub
- ActionLLM grades each bump + rationaleOpenAI
- LogicSort high→low and tally counts
- OutputPublish sorted risk digest to NotionNotion
What it does
Instead of reacting per-PR, this workflow gives the team one daily snapshot. It lists every open dependency-bump PR, fetches each package's changelog for its version range, grades the breaking-change risk, then writes a single Notion page ordered high-to-low so reviewers know exactly where to spend their morning.
When to use it
Use it when bumps pile up faster than they get reviewed and you want a recurring, batched triage view rather than a noisy per-PR alert. Ideal for a weekly dependency-cleanup ritual or a daily standup reference.
How it works
- 1A daily schedule trigger starts the run.
- 2The flow queries GitHub for all open PRs labeled as dependency bumps.
- 3For each PR it fetches the changelog across the old→new version range.
- 4An LLM grades each bump and writes a one-line justification.
- 5A logic step sorts the results high → medium → low and tallies counts.
- 6The digest is published to a Notion page with PR links, grades, and rationale.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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