Safe dependency update pull requests
Finds outdated packages on a schedule, applies only small updates that pass your tests, and opens a pull request. Major updates are listed for a person.
What it does
- Reads your package files and checks for newer versions
- Sorts each update by risk: patch, minor or major
- Applies patch and minor updates, then runs your tests
- Rolls everything back if a test fails
- Opens a pull request with a summary of what changed
Your approval boundaries
Creates draftsThese actions always wait for your yes:
- Applying any major update
- Merging the pull request
- Touching packages on your exclude list
You decide what happens next.
More about this workflow
This setup is for developers and small engineering teams who want fewer chores. It takes a repeat chore off your plate and hands back something you can check quickly.
First, it reads your package files and checks for newer versions. Next, it sorts each update by risk: patch, minor or major. Then it applies patch and minor updates, then runs your tests. After that, it rolls everything back if a test fails. Finally, it opens a pull request with a summary of what changed. It works with your git host, CI and package registry, each on its own login with limited access.
You get the prep work done and waiting for you. The agent stops and asks for your yes before applying any major update, merging the pull request and touching packages on your exclude list, and says plainly if a step cannot be undone.
“They are never applied unless you ask.”
Explore required tools and model recommendations
Tools and access
GitHub
Handles the git host and ci part of this job. Grant a fine-grained token, read code and write comments.
API required: Yes. Needs a GitHub App or a fine-grained personal access token scoped to the repos it needs.
Package registry
Handles the package registry part of this job. Grant public read access.
API required: No. Public registries can be read without an account.
No sign-up needed
Official links only. Not sponsored, no affiliate links.
Model recommendations
Best pick
Claude Opus 5.5
Its maker points to it for long running coding work.
$4 per million input tokens, $20 per million output tokens.
Anthropic docs as of October 11, 2026
Cheaper backup
Claude Sonnet 5.5
Half the price per token and still strong for reviews and docs.
$2 per million input tokens, $10 per million output tokens.
Anthropic docs as of October 11, 2026
Our own picks. Not sponsored, no affiliate links.
Build your prompt
Add your details, then copy the prompt into your tool.
2Your prompt
4 of 4 still emptyYour answers stay in this browser only.
Run your workflow
Connect your tools with only the access this setup needs, then follow these steps.
Steps
Do these in order. Test on old data before it touches live work.
- 1Connect GitHub with its own login, not yours. Grant a fine-grained token, read code and write comments.
- 2Set up Package registry. Keep it to public read access.
- 3Paste the prompt where your harness takes instructions. See the note under the Copy button.
- 4Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
- 5Read its log after the first real run. Only widen access once a week of runs looks clean.
Safeguards and trust score
The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.
Writes drafts and notes inside your tools, nothing leaves on its own.
Waits for a yes on: applying any major update, merging the pull request, touching packages on your exclude list.
Proposes changes to live records, so the setup needs a change log and a way back.
Runs on its own login across 3 tools. Fewer connections means a smaller blast radius.
How to raise it
- Undo and logs: Stop it from editing live records. Have it write the change as a proposal you apply, and keep a log of every change with a way to roll it back +3
- Scope: Cut it down from 3 connected tools to the 2 it needs most, each with its own limited login instead of your full account +2
Do all of these to reach 89, up from 84.
Want help getting there? Get an AI Trust Audit from Pixeldesigns
Reviewed by Trustcase (example setup). How scoring works
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[](https://trustcase.dev/use-cases/safe-dependency-update-prs)<a href="https://trustcase.dev/use-cases/safe-dependency-update-prs"><img src="https://trustcase.dev/badge/safe-dependency-update-prs.svg" alt="Trustcase trust score for Safe dependency update pull requests" height="20"></a>More engineering workflows
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