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alpha-forge-preship

alpha-forge-preship

github.com/terrylicaTesting & quality292 installsUpdated 1d ago
Repository

About alpha-forge-preship

alpha-forge-preship is a quality-check skill for the Alpha Forge PR review cycle. It applies four gates covering RNG determinism, URLs, parameters, and manifest consistency.

Key features

  1. 01Check RNG isolation and determinism
  2. 02Validate fork URLs
  3. 03Check parameter ranges
  4. 04Verify decorator and YAML manifest sync

Use cases

  1. 01Check RNG and URLs before commits
  2. 02Validate parameters at runtime or in CI
  3. 03Check manifest consistency in CI

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/terrylica/cc-skills --skill alpha-forge-preship

After installing, type/alpha-forge-preshipin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

README.md
gates/
__init__.py
g1_documentation_scope.py
g10_performance_red_flags.py
g12_manifest_sync.py
g2_documentation_clarity.py
g3_documentation_completeness.py
g4_url_validation.py
g5_rng_determinism.py
g6_warmup_alignment.py
g7_parameter_documentation.py
g8_parameter_validation.py
references/
evolution-log.md
reference.md
tests/
__init__.py
test_g1_documentation_scope.py
test_g10_performance_red_flags.py
test_g12_manifest_sync.py
test_g2_documentation_clarity.py
test_g3_documentation_completeness.py
test_g4_url_validation.py
test_g5_rng_determinism.py
test_g6_warmup_alignment.py
test_g7_parameter_documentation.py
test_g8_parameter_validation.py
test_gates.py

Details

From the project README

Alpha Forge Pre-Ship Quality Gates - Phase 1

Quality assurance plugin for Alpha Forge PR review cycle.

Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

Overview

Implements 4 bulletproof quality gates to catch 5 of 13 PR #154 issues:

  • G5: RNG Determinism (pre-commit)
  • G4: URL Fork Validation (pre-commit)
  • G8: Parameter Validation (runtime/CI)
  • G12: Manifest Sync Validation (CI)

Effectiveness

  • Issue Prevention: 42% of PR issues
  • False Positive Rate: <1%
  • Implementation Time: ~4 hours
  • Payoff Period: 2-3 PRs
  • Review Cycle Reduction: 30-50%

Key Files

  • gates/g5_rng_determinism.py - RNG isolation validator
  • gates/g4_url_validation.py - Fork URL detector
  • gates/g8_parameter_validation.py - Parameter range validator
  • gates/g12_manifest_sync.py - Decorator-YAML sync validator
  • orchestrator.py - Master validator coordinator
  • reference.md - Complete framework documentation

Architecture

All gates enforce the Decorator-as-Single-Source-of-Truth principle:

  • Parameter constraints defined in decorators
  • Configuration validated at entry points
  • Manifest consistency ensured automatically
  • Documentation requirements enforced systematically

Integration

Pre-Commit Hook
from gates.g4_url_validation import validate_org_urls
from gates.g5_rng_determinism import validate_rng_isolation
Runtime Parameter Validation
from gates.g8_parameter_validation import ParameterValidator
validator = ParameterValidator()
validator.validate_numeric_range(value, min_val, max_val)
Manifest Validation
from gates.g12_manifest_sync import validate_manifest
issues = validate_manifest("manifest.yaml")

References

  • Main Handbook: /tmp/CANONICAL_PRESHOP_AUDIT_HANDBOOK.md (523 lines)
  • Implementation Plan: /tmp/PHASE_1_IMPLEMENTATION_PLAN.md (367 lines)
  • Project Summary: /tmp/PROJECT_COMPLETION_SUMMARY.md

Status

✅ Phase 1 Complete - Ready for merge to cc-skills and integration with alpha-forge

Post-Execution Reflection

After this skill completes, check before closing:

  1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
  2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
  3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.

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