[purp]

Summary

Extract /label-issue and a shared helper to classify accepted issues and PRs. Correct legacy, malformed, inaccurate and incomplete area/topic labels while preserving unrelated labels and human dispositions.

Related Issue

Closes #5353 (implicitly accepted through maintainer authorship; no explicit state:accepted label). Delivers Part 2 of #5276; automatic invocation remains Part 3.

Depends on #5260. This draft targets main because the parent branch exists only in the fork. Review extraction changes alone.

Changes

• Classify from relevant expandable evidence: exactly one area and all supported topics. Existing labels describe state, not subject evidence; ambiguity stays local and the labeler posts no comments.
• Share reconciliation with triage, preserving assessment judgment, triage comments and caller-specific confirmations.
• Preview exact requests and verify additions before removals. Native checkpoints support model-free unchanged skips and partial-failure recovery. Fingerprints bind substantive content, identities, authority and taxonomy, ignoring reaction/profile/color noise while retaining raw evidence.

Supports POSIX with one coordinated executor per item; local locking provides neither cross-host serialization nor atomic GitHub writes. Dispatch and provider runtime belong to Part 3.

Live previews report missing canonical topic:dx; no-addition checkpoint paths require approved meta:labeler-checkpoint. This PR provisions neither label and applies no backlog changes.

Release Notes

Testing

• 259 focused Python tests and 19 JavaScript acceptance tests.
• SPDX check (1,442 files), Python syntax, skill metadata/inventory, 23 local links/anchors, and diff checks.
• Read-only live preparation/preview of feat: extract shared issue and PR labeling skill #5353; fresh four-case classifier refactor control. Small observed samples do not establish general classifier accuracy. No live label/checkpoint writes.
• Full Python discovery: optional pytest/PyYAML dependencies unavailable for four existing test modules.
• Ruff, Markdownlint and external skill discovery: tools/dependencies unavailable; not claimed as passing.

Checklist

• Conventional Commits and DCO signoffs
• Contributor guidance, design and plan updated

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