feat(prediction): add bootstrap confidence intervals with uncertainty quantification #7

	name: Contribution Volume Guard

	on:
	issues:
	types: [opened]
	pull_request_target:
	types: [opened]

	permissions:
	issues: write
	pull-requests: write

	jobs:
	volume-check:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/github-script@v7
	with:
	script: \|
	const author = context.payload.issue?.user?.login \|\| context.payload.pull_request?.user?.login;
	if (!author) return;

	// Don't flag the maintainer
	if (author === 'Him-an-shi') return;

	const since = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();

	const { data: items } = await github.rest.issues.listForRepo({
	owner: context.repo.owner,
	repo: context.repo.repo,
	creator: author,
	since: since,
	state: 'all',
	per_page: 100,
	});

	const recentCount = items.filter(i =>
	new Date(i.created_at) > new Date(since)
	).length;

	if (recentCount > 5) {
	const issueNumber = context.payload.issue?.number \|\| context.payload.pull_request?.number;
	await github.rest.issues.createComment({
	owner: context.repo.owner,
	repo: context.repo.repo,
	issue_number: issueNumber,
	body: `@Him-an-shi Heads up: @${author} has opened ${recentCount} items in the last 24 hours. Flagging for review to check for potential bulk/automated submissions.`
	});
	await github.rest.issues.addLabels({
	owner: context.repo.owner,
	repo: context.repo.repo,
	issue_number: issueNumber,
	labels: ['needs-triage']
	});
	}

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