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Loop-Engineering v1.0.1

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@sheepxux sheepxux released this 11 Jul 16:41
bc8ff15

Loop-Engineering v1.0.1

This is the release-ready patch of the complete Loop-Engineering v1 Agent Skill.

What v1 includes

  • one canonical Skill for Codex and Claude Code
  • progressive references, self-contained assets, scripts, and behavior evals
  • Codex and Claude plugin/marketplace manifests
  • portable loop.yaml protocol with fail-closed schema and safety validation
  • independent evaluator artifacts bound by context ID and SHA-256
  • durable state, retries, budgets, pause/resume, leases, and audit logs
  • matched-benchmark task-strategy experiments with mechanical scoring
  • digest-bound human approval, version archives, and monotonic rollback
  • Chinese-first README with a complete English counterpart

v1.0.1 fixes

  • use strict Claude marketplace manifest loading so a clean Claude Code installation reports the plugin enabled
  • accept the official GitHub CLI source metadata added by both regular and --pin Skill installations
  • add doctor and regression checks for both compatibility boundaries
  • synchronize package, plugin, documentation, pinned runtime, and schema references at 1.0.1

Install

gh skill install sheepxux/Loop-Engineering loop-engineering@v1.0.1 --agent codex
gh skill install sheepxux/Loop-Engineering loop-engineering@v1.0.1 --agent claude-code

See the README for Codex plugin, Claude plugin, source, and optional npm installation paths.

Validation

  • 43 automated tests
  • CI on Node.js 20, 22, and 24 for PR, main, and tag
  • Cubic AI review: no issues found on the final compatibility patch
  • clean Codex home: plugin installed, enabled
  • clean Claude Code home: plugin enabled
  • clean GitHub Skill installs, including --pin, validate successfully
  • generated npm tarball installs and completes a real dry-run from an empty directory
  • official Skill, Codex plugin, Claude plugin, and GitHub Skill validation
  • npm pack/publish dry-runs and production dependency audit with 0 vulnerabilities

Important boundaries

“Evolution” means benchmark-gated optimization of task instructions. It does not update model weights, weaken the immutable loop contract, or guarantee improvement. Merge, deployment, deletion, spending, external messaging, and permission changes remain human-only. The local Runner is not an operating-system sandbox, and the generated GitHub Actions workflow is a read-only preflight scaffold until an operator adds a real executor and durable state channel.