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port-cleanup

epiphany-dynamics/port-cleanup

Native macOS utility for evidence-backed, human-confirmed cleanup of stale listening ports.

Verification & Guardrails0.62Runner-up: Classification & RoutingFunnel
Automated README summary

Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Port Cleanup is a native macOS app for developers and operators who need to decide which listening TCP ports are safe to stop. It shows each listener with local evidence and a typed Jev recommendation, but never stops anything automatically.

How it uses Jev

Per process, Port Cleanup sends Jev one finite-choice question: safe to stop, keep, or your decision. Jev returns a typed verdict/reason pair with confidence and the most material missing fact. The app maps this to its own text; kill recommendations require confidence ≥ 0.8 and supported evidence.

Primitives:choice

Technique worth stealing

Local forensic dossier plus typed AI judgment, gated by explicit human confirmation.

Try it

Download the notarized DMG from the latest release, or build locally with python3 scripts/build.py.

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 material0.93
  • Shows a System One patternunclear0.44
  • Describes handling uncertaintynot found in the excerpt0.09
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.90
  • Top-10 learning shortlist signalnot found in the excerpt0.30
  • Is a replica of the modelnot found in the excerpt0.10
  • Solves a common problem (0–2)score on a 0–2 scale1.36 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.93Shows a System One pattern0.44Describes handling uncertainty0.09Reports measured numbers0.04Is a runnable tool0.90Top-10 learning shortlist signal0.30Is a replica of the model0.1000.51Solves a common problem (0–2)1.36 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.74Fail open, fail closed0.64Questionnaire0.53Viewfinder0.46Traffic light0.37Inspection0.3500.51

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 13 Oct 2026.