Weekly data page update from a wiki
A scheduled task runs every Thursday, finds the newest weekly page on a community wiki, and rewrites one data file in the repo from it. It stops without writing if the week is already covered or the page is incomplete, and opens a pull request a person merges by hand.
What it does
- Finds the newest weekly page on the source wiki
- Stops if that week is already in the data file or has an open pull request
- Stops without writing if required sections are still missing from the page
- Replaces the data file following a written update guide and runs the project's verify step
- Opens a pull request on its own branch named for the week
Your approval boundaries
Creates draftsThese actions always wait for your yes:
- Reviewing and merging the pull request
- Rerunning by hand when a page was incomplete
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 finds the newest weekly page on the source wiki. Next, it stops if that week is already in the data file or has an open pull request. Then it stops without writing if required sections are still missing from the page. After that, it replaces the data file following a written update guide and runs the project's verify step. Finally, it opens a pull request on its own branch named for the week. It works with your git host, web fetch and CI, 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 reviewing and merging the pull request and rerunning by hand when a page was incomplete, and says plainly if a step cannot be undone.
“every weekly PR is reviewed and merged by hand (no auto-merge)”
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.
Web fetch
Handles the web fetch part of this job. Grant public pages, no logged-in sessions.
API required: No. Built into most agent harnesses. It reads public pages with no login.
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 Web fetch. Keep it to public pages, no logged-in sessions.
- 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: reviewing and merging the pull request, rerunning by hand when a page was incomplete.
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/weekly-data-page-update-from-a-wiki)<a href="https://trustcase.dev/use-cases/weekly-data-page-update-from-a-wiki"><img src="https://trustcase.dev/badge/weekly-data-page-update-from-a-wiki.svg" alt="Trustcase trust score for Weekly data page update from a wiki" height="20"></a>More engineering workflows
- Weekly agent setup review from session logs
Every Monday a local job condenses the past week's coding agent transcripts into a digest, then a read only session suggests setup changes such as hooks, skills, permission entries and instruction rules. It writes a report and changes nothing.
- Weekly open source contribution scout
Once a week it checks the status of your open issues and pull requests in other people's repos, finds unclaimed help wanted issues in the projects you care about, and writes one issue in your own repo with what needs you. It posts nothing anywhere else.
- Pull request reviewer
Gives every PR a first pass before a person looks.
- Flaky test hunter
Finds tests that fail at random and why.
Other workflows that use the same tools
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Marketing. Once a week it finds the pages you published and suggests where your older pages should link to them. You approve the links before they go live.
- Weekly local events draft with fact checks
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- Competitor watch
Marketing. Keeps an eye on what competitors change on their sites.