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smart-labeler

hkurma/smart-labeler

GitHub Action labels issues and PRs with existing labels via Jev.

Classification & Routing0.83Runner-up: Data Labeling & CurationQuestionnaire
Automated README summary

Automatically summarized from the README on 29 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A GitHub Action for repository maintainers that automatically labels new issues and pull requests using the repository's existing labels, reading the title, body, and changed file paths.

How it uses Jev

Jev decides which existing labels fit the issue or PR. Label names are split into groups by a separator; each group is one Choice question (pick one or none), and ungrouped labels are judged individually. All questions go in one TypeSafe request; labels above threshold are applied, capped by max-labels.

Primitives:choice

Technique worth stealing

Group mutually exclusive labels into one Choice question; judge independent labels separately.

Try it

Add examples/smart-label.yml as .github/workflows/smart-label.yml with TYPESAFE_API_KEY secret.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.90
  • Shows a System One patternFound in material0.66
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.95
  • Top-10 learning shortlist signalnot found in the excerpt0.36
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.72 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.90Shows a System One pattern0.66Describes handling uncertainty0.06Reports measured numbers0.04Is a runnable tool0.95Top-10 learning shortlist signal0.36Is a replica of the model0.0300.51Solves a common problem (0–2)1.72 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.85Fail open, fail closed0.53Scorecard0.38Menu0.2400.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 29 Sept 2026.