Files
claude-skills-reference/engineering/skill-tester/scripts/skill_validator.py
Alireza Rezvani a68ae3a05e Dev (#305)
* chore: update gitignore for audit reports and playwright cache

* fix: add YAML frontmatter (name + description) to all SKILL.md files

- Added frontmatter to 34 skills that were missing it entirely (0% Tessl score)
- Fixed name field format to kebab-case across all 169 skills
- Resolves #284

* chore: sync codex skills symlinks [automated]

* fix: optimize 14 low-scoring skills via Tessl review (#290)

Tessl optimization: 14 skills improved from ≤69% to 85%+. Closes #285, #286.

* chore: sync codex skills symlinks [automated]

* fix: optimize 18 skills via Tessl review + compliance fix (closes #287) (#291)

Phase 1: 18 skills optimized via Tessl (avg 77% → 95%). Closes #287.

* feat: add scripts and references to 4 prompt-only skills + Tessl optimization (#292)

Phase 2: 3 new scripts + 2 reference files for prompt-only skills. Tessl 45-55% → 94-100%.

* feat: add 6 agents + 5 slash commands for full coverage (v2.7.0) (#293)

Phase 3: 6 new agents (all 9 categories covered) + 5 slash commands.

* fix: Phase 5 verification fixes + docs update (#294)

Phase 5 verification fixes

* chore: sync codex skills symlinks [automated]

* fix: marketplace audit — all 11 plugins validated by Claude Code (#295)

Marketplace audit: all 11 plugins validated + installed + tested in Claude Code

* fix: restore 7 removed plugins + revert playwright-pro name to pw

Reverts two overly aggressive audit changes:
- Restored content-creator, demand-gen, fullstack-engineer, aws-architect,
  product-manager, scrum-master, skill-security-auditor to marketplace
- Reverted playwright-pro plugin.json name back to 'pw' (intentional short name)

* refactor: split 21 over-500-line skills into SKILL.md + references (#296)

* chore: sync codex skills symlinks [automated]

* docs: update all documentation with accurate counts and regenerated skill pages

- Update skill count to 170, Python tools to 213, references to 314 across all docs
- Regenerate all 170 skill doc pages from latest SKILL.md sources
- Update CLAUDE.md with v2.1.1 highlights, accurate architecture tree, and roadmap
- Update README.md badges and overview table
- Update marketplace.json metadata description and version
- Update mkdocs.yml, index.md, getting-started.md with correct numbers

* fix: add root-level SKILL.md and .codex/instructions.md to all domains (#301)

Root cause: CLI tools (ai-agent-skills, agent-skills-cli) look for SKILL.md
at the specified install path. 7 of 9 domain directories were missing this
file, causing "Skill not found" errors for bundle installs like:
  npx ai-agent-skills install alirezarezvani/claude-skills/engineering-team

Fix:
- Add root-level SKILL.md with YAML frontmatter to 7 domains
- Add .codex/instructions.md to 8 domains (for Codex CLI discovery)
- Update INSTALLATION.md with accurate skill counts (53→170)
- Add troubleshooting entry for "Skill not found" error

All 9 domains now have: SKILL.md + .codex/instructions.md + plugin.json

Closes #301

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add Gemini CLI + OpenClaw support, fix Codex missing 25 skills

Gemini CLI:
- Add GEMINI.md with activation instructions
- Add scripts/gemini-install.sh setup script
- Add scripts/sync-gemini-skills.py (194 skills indexed)
- Add .gemini/skills/ with symlinks for all skills, agents, commands
- Remove phantom medium-content-pro entries from sync script
- Add top-level folder filter to prevent gitignored dirs from leaking

Codex CLI:
- Fix sync-codex-skills.py missing "engineering" domain (25 POWERFUL skills)
- Regenerate .codex/skills-index.json: 124 → 149 skills
- Add 25 new symlinks in .codex/skills/

OpenClaw:
- Add OpenClaw installation section to INSTALLATION.md
- Add ClawHub install + manual install + YAML frontmatter docs

Documentation:
- Update INSTALLATION.md with all 4 platforms + accurate counts
- Update README.md: "three platforms" → "four platforms" + Gemini quick start
- Update CLAUDE.md with Gemini CLI support in v2.1.1 highlights
- Update SKILL-AUTHORING-STANDARD.md + SKILL_PIPELINE.md with Gemini steps
- Add OpenClaw + Gemini to installation locations reference table

Marketplace: all 18 plugins validated — sources exist, SKILL.md present

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(product,pm): world-class product & PM skills audit — 6 scripts, 5 agents, 7 commands, 23 references/assets

Phase 1 — Agent & Command Foundation:
- Rewrite cs-project-manager agent (55→515 lines, 4 workflows, 6 skill integrations)
- Expand cs-product-manager agent (408→684 lines, orchestrates all 8 product skills)
- Add 7 slash commands: /rice, /okr, /persona, /user-story, /sprint-health, /project-health, /retro

Phase 2 — Script Gap Closure (2,779 lines):
- jira-expert: jql_query_builder.py (22 patterns), workflow_validator.py
- confluence-expert: space_structure_generator.py, content_audit_analyzer.py
- atlassian-admin: permission_audit_tool.py
- atlassian-templates: template_scaffolder.py (Confluence XHTML generation)

Phase 3 — Reference & Asset Enrichment:
- 9 product references (competitive-teardown, landing-page-generator, saas-scaffolder)
- 6 PM references (confluence-expert, atlassian-admin, atlassian-templates)
- 7 product assets (templates for PRD, RICE, sprint, stories, OKR, research, design system)
- 1 PM asset (permission_scheme_template.json)

Phase 4 — New Agents:
- cs-agile-product-owner, cs-product-strategist, cs-ux-researcher

Phase 5 — Integration & Polish:
- Related Skills cross-references in 8 SKILL.md files
- Updated product-team/CLAUDE.md (5→8 skills, 6→9 tools, 4 agents, 5 commands)
- Updated project-management/CLAUDE.md (0→12 scripts, 3 commands)
- Regenerated docs site (177 pages), updated homepage and getting-started

Quality audit: 31 files reviewed, 29 PASS, 2 fixed (copy-frameworks.md, governance-framework.md)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: audit and repair all plugins, agents, and commands

- Fix 12 command files: correct CLI arg syntax, script paths, and usage docs
- Fix 3 agents with broken script/reference paths (cs-content-creator,
  cs-demand-gen-specialist, cs-financial-analyst)
- Add complete YAML frontmatter to 5 agents (cs-growth-strategist,
  cs-engineering-lead, cs-senior-engineer, cs-financial-analyst,
  cs-quality-regulatory)
- Fix cs-ceo-advisor related agent path
- Update marketplace.json metadata counts (224 tools, 341 refs, 14 agents,
  12 commands)

Verified: all 19 scripts pass --help, all 14 agent paths resolve, mkdocs
builds clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: repair 25 Python scripts failing --help across all domains

- Fix Python 3.10+ syntax (float | None → Optional[float]) in 2 scripts
- Add argparse CLI handling to 9 marketing scripts using raw sys.argv
- Fix 10 scripts crashing at module level (wrap in __main__, add argparse)
- Make yaml/prefect/mcp imports conditional with stdlib fallbacks (4 scripts)
- Fix f-string backslash syntax in project_bootstrapper.py
- Fix -h flag conflict in pr_analyzer.py
- Fix tech-debt.md description (score → prioritize)

All 237 scripts now pass python3 --help verification.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix(product-team): close 3 verified gaps in product skills

- Fix competitive-teardown/SKILL.md: replace broken references
  DATA_COLLECTION.md → references/data-collection-guide.md and
  TEMPLATES.md → references/analysis-templates.md (workflow was broken
  at steps 2 and 4)

- Upgrade landing_page_scaffolder.py: add TSX + Tailwind output format
  (--format tsx) matching SKILL.md promise of Next.js/React components.
  4 design styles (dark-saas, clean-minimal, bold-startup, enterprise).
  TSX is now default; HTML preserved via --format html

- Rewrite README.md: fix stale counts (was 5 skills/15+ tools, now
  accurately shows 8 skills/9 tools), remove 7 ghost scripts that
  never existed (sprint_planner.py, velocity_tracker.py, etc.)

- Fix tech-debt.md description (score → prioritize)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* release: v2.1.2 — landing page TSX output, brand voice integration, docs update

- Landing page generator defaults to Next.js TSX + Tailwind CSS (4 design styles)
- Brand voice analyzer integrated into landing page generation workflow
- CHANGELOG, CLAUDE.md, README.md updated for v2.1.2
- All 13 plugin.json + marketplace.json bumped to 2.1.2
- Gemini/Codex skill indexes re-synced
- Backward compatible: --format html preserved, no breaking changes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: alirezarezvani <5697919+alirezarezvani@users.noreply.github.com>
Co-authored-by: Leo <leo@openclaw.ai>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:48:49 +01:00

668 lines
28 KiB
Python

#!/usr/bin/env python3
"""
Skill Validator - Validates skill directories against quality standards
This script validates a skill directory structure, documentation, and Python scripts
against the claude-skills ecosystem standards. It checks for required files, proper
formatting, and compliance with tier-specific requirements.
Usage:
python skill_validator.py <skill_path> [--tier TIER] [--json] [--verbose]
Author: Claude Skills Engineering Team
Version: 1.0.0
Dependencies: Python Standard Library Only
"""
import argparse
import ast
import json
import re
import sys
try:
import yaml
except ImportError:
# Minimal YAML subset: parse simple key: value frontmatter without pyyaml
class _YamlStub:
class YAMLError(Exception):
pass
@staticmethod
def safe_load(text):
result = {}
for line in text.strip().splitlines():
if ':' in line:
key, _, value = line.partition(':')
result[key.strip()] = value.strip()
return result if result else None
yaml = _YamlStub()
import datetime as dt
from pathlib import Path
from typing import Dict, List, Any, Optional, Tuple
class ValidationError(Exception):
"""Custom exception for validation errors"""
pass
class ValidationReport:
"""Container for validation results"""
def __init__(self, skill_path: str):
self.skill_path = skill_path
self.timestamp = dt.datetime.now(dt.timezone.utc).isoformat().replace("+00:00", "Z")
self.checks = {}
self.warnings = []
self.errors = []
self.suggestions = []
self.overall_score = 0.0
self.compliance_level = "FAIL"
def add_check(self, check_name: str, passed: bool, message: str = "", score: float = 0.0):
"""Add a validation check result"""
self.checks[check_name] = {
"passed": passed,
"message": message,
"score": score
}
def add_warning(self, message: str):
"""Add a warning message"""
self.warnings.append(message)
def add_error(self, message: str):
"""Add an error message"""
self.errors.append(message)
def add_suggestion(self, message: str):
"""Add an improvement suggestion"""
self.suggestions.append(message)
def calculate_overall_score(self):
"""Calculate overall compliance score"""
if not self.checks:
self.overall_score = 0.0
return
total_score = sum(check["score"] for check in self.checks.values())
max_score = len(self.checks) * 1.0
self.overall_score = (total_score / max_score) * 100 if max_score > 0 else 0.0
# Determine compliance level
if self.overall_score >= 90:
self.compliance_level = "EXCELLENT"
elif self.overall_score >= 75:
self.compliance_level = "GOOD"
elif self.overall_score >= 60:
self.compliance_level = "ACCEPTABLE"
elif self.overall_score >= 40:
self.compliance_level = "NEEDS_IMPROVEMENT"
else:
self.compliance_level = "POOR"
class SkillValidator:
"""Main skill validation engine"""
# Tier requirements
TIER_REQUIREMENTS = {
"BASIC": {
"min_skill_md_lines": 100,
"min_scripts": 1,
"script_size_range": (100, 300),
"required_dirs": ["scripts"],
"optional_dirs": ["assets", "references", "expected_outputs"],
"features_required": ["argparse", "main_guard"]
},
"STANDARD": {
"min_skill_md_lines": 200,
"min_scripts": 1,
"script_size_range": (300, 500),
"required_dirs": ["scripts", "assets", "references"],
"optional_dirs": ["expected_outputs"],
"features_required": ["argparse", "main_guard", "json_output", "help_text"]
},
"POWERFUL": {
"min_skill_md_lines": 300,
"min_scripts": 2,
"script_size_range": (500, 800),
"required_dirs": ["scripts", "assets", "references", "expected_outputs"],
"optional_dirs": [],
"features_required": ["argparse", "main_guard", "json_output", "help_text", "error_handling"]
}
}
REQUIRED_SKILL_MD_SECTIONS = [
"Name", "Description", "Features", "Usage", "Examples"
]
FRONTMATTER_REQUIRED_FIELDS = [
"Name", "Tier", "Category", "Dependencies", "Author", "Version"
]
def __init__(self, skill_path: str, target_tier: Optional[str] = None, verbose: bool = False):
self.skill_path = Path(skill_path).resolve()
self.target_tier = target_tier
self.verbose = verbose
self.report = ValidationReport(str(self.skill_path))
def log_verbose(self, message: str):
"""Log verbose message if verbose mode enabled"""
if self.verbose:
print(f"[VERBOSE] {message}", file=sys.stderr)
def validate_skill_structure(self) -> ValidationReport:
"""Main validation entry point"""
try:
self.log_verbose(f"Starting validation of {self.skill_path}")
# Check if path exists
if not self.skill_path.exists():
self.report.add_error(f"Skill path does not exist: {self.skill_path}")
return self.report
if not self.skill_path.is_dir():
self.report.add_error(f"Skill path is not a directory: {self.skill_path}")
return self.report
# Run all validation checks
self._validate_required_files()
self._validate_skill_md()
self._validate_readme()
self._validate_directory_structure()
self._validate_python_scripts()
self._validate_tier_compliance()
# Calculate overall score
self.report.calculate_overall_score()
self.log_verbose(f"Validation completed. Score: {self.report.overall_score:.1f}")
except Exception as e:
self.report.add_error(f"Validation failed with exception: {str(e)}")
return self.report
def _validate_required_files(self):
"""Validate presence of required files"""
self.log_verbose("Checking required files...")
# Check SKILL.md
skill_md_path = self.skill_path / "SKILL.md"
if skill_md_path.exists():
self.report.add_check("skill_md_exists", True, "SKILL.md found", 1.0)
else:
self.report.add_check("skill_md_exists", False, "SKILL.md missing", 0.0)
self.report.add_error("SKILL.md is required but missing")
# Check README.md
readme_path = self.skill_path / "README.md"
if readme_path.exists():
self.report.add_check("readme_exists", True, "README.md found", 1.0)
else:
self.report.add_check("readme_exists", False, "README.md missing", 0.0)
self.report.add_warning("README.md is recommended but missing")
self.report.add_suggestion("Add README.md with usage instructions and examples")
def _validate_skill_md(self):
"""Validate SKILL.md content and format"""
self.log_verbose("Validating SKILL.md...")
skill_md_path = self.skill_path / "SKILL.md"
if not skill_md_path.exists():
return
try:
content = skill_md_path.read_text(encoding='utf-8')
lines = content.split('\n')
line_count = len([line for line in lines if line.strip()])
# Check line count
min_lines = self._get_tier_requirement("min_skill_md_lines", 100)
if line_count >= min_lines:
self.report.add_check("skill_md_length", True,
f"SKILL.md has {line_count} lines (≥{min_lines})", 1.0)
else:
self.report.add_check("skill_md_length", False,
f"SKILL.md has {line_count} lines (<{min_lines})", 0.0)
self.report.add_error(f"SKILL.md too short: {line_count} lines, minimum {min_lines}")
# Validate frontmatter
self._validate_frontmatter(content)
# Check required sections
self._validate_required_sections(content)
except Exception as e:
self.report.add_check("skill_md_readable", False, f"Error reading SKILL.md: {str(e)}", 0.0)
self.report.add_error(f"Cannot read SKILL.md: {str(e)}")
def _validate_frontmatter(self, content: str):
"""Validate SKILL.md frontmatter"""
self.log_verbose("Validating frontmatter...")
# Extract frontmatter
if content.startswith('---'):
try:
end_marker = content.find('---', 3)
if end_marker == -1:
self.report.add_check("frontmatter_format", False,
"Frontmatter closing marker not found", 0.0)
return
frontmatter_text = content[3:end_marker].strip()
frontmatter = yaml.safe_load(frontmatter_text)
if not isinstance(frontmatter, dict):
self.report.add_check("frontmatter_format", False,
"Frontmatter is not a valid dictionary", 0.0)
return
# Check required fields
missing_fields = []
for field in self.FRONTMATTER_REQUIRED_FIELDS:
if field not in frontmatter:
missing_fields.append(field)
if not missing_fields:
self.report.add_check("frontmatter_complete", True,
"All required frontmatter fields present", 1.0)
else:
self.report.add_check("frontmatter_complete", False,
f"Missing fields: {', '.join(missing_fields)}", 0.0)
self.report.add_error(f"Missing frontmatter fields: {', '.join(missing_fields)}")
except yaml.YAMLError as e:
self.report.add_check("frontmatter_format", False,
f"Invalid YAML frontmatter: {str(e)}", 0.0)
self.report.add_error(f"Invalid YAML frontmatter: {str(e)}")
else:
self.report.add_check("frontmatter_exists", False,
"No frontmatter found", 0.0)
self.report.add_error("SKILL.md must start with YAML frontmatter")
def _validate_required_sections(self, content: str):
"""Validate required sections in SKILL.md"""
self.log_verbose("Checking required sections...")
missing_sections = []
for section in self.REQUIRED_SKILL_MD_SECTIONS:
pattern = rf'^#+\s*{re.escape(section)}\s*$'
if not re.search(pattern, content, re.MULTILINE | re.IGNORECASE):
missing_sections.append(section)
if not missing_sections:
self.report.add_check("required_sections", True,
"All required sections present", 1.0)
else:
self.report.add_check("required_sections", False,
f"Missing sections: {', '.join(missing_sections)}", 0.0)
self.report.add_error(f"Missing required sections: {', '.join(missing_sections)}")
def _validate_readme(self):
"""Validate README.md content"""
self.log_verbose("Validating README.md...")
readme_path = self.skill_path / "README.md"
if not readme_path.exists():
return
try:
content = readme_path.read_text(encoding='utf-8')
# Check minimum content length
if len(content.strip()) >= 200:
self.report.add_check("readme_substantial", True,
"README.md has substantial content", 1.0)
else:
self.report.add_check("readme_substantial", False,
"README.md content is too brief", 0.5)
self.report.add_suggestion("Expand README.md with more detailed usage instructions")
except Exception as e:
self.report.add_check("readme_readable", False,
f"Error reading README.md: {str(e)}", 0.0)
def _validate_directory_structure(self):
"""Validate directory structure against tier requirements"""
self.log_verbose("Validating directory structure...")
required_dirs = self._get_tier_requirement("required_dirs", ["scripts"])
optional_dirs = self._get_tier_requirement("optional_dirs", [])
# Check required directories
missing_required = []
for dir_name in required_dirs:
dir_path = self.skill_path / dir_name
if dir_path.exists() and dir_path.is_dir():
self.report.add_check(f"dir_{dir_name}_exists", True,
f"{dir_name}/ directory found", 1.0)
else:
missing_required.append(dir_name)
self.report.add_check(f"dir_{dir_name}_exists", False,
f"{dir_name}/ directory missing", 0.0)
if missing_required:
self.report.add_error(f"Missing required directories: {', '.join(missing_required)}")
# Check optional directories and provide suggestions
missing_optional = []
for dir_name in optional_dirs:
dir_path = self.skill_path / dir_name
if not (dir_path.exists() and dir_path.is_dir()):
missing_optional.append(dir_name)
if missing_optional:
self.report.add_suggestion(f"Consider adding optional directories: {', '.join(missing_optional)}")
def _validate_python_scripts(self):
"""Validate Python scripts in the scripts directory"""
self.log_verbose("Validating Python scripts...")
scripts_dir = self.skill_path / "scripts"
if not scripts_dir.exists():
return
python_files = list(scripts_dir.glob("*.py"))
min_scripts = self._get_tier_requirement("min_scripts", 1)
# Check minimum number of scripts
if len(python_files) >= min_scripts:
self.report.add_check("min_scripts_count", True,
f"Found {len(python_files)} Python scripts (≥{min_scripts})", 1.0)
else:
self.report.add_check("min_scripts_count", False,
f"Found {len(python_files)} Python scripts (<{min_scripts})", 0.0)
self.report.add_error(f"Insufficient scripts: {len(python_files)}, minimum {min_scripts}")
# Validate each script
for script_path in python_files:
self._validate_single_script(script_path)
def _validate_single_script(self, script_path: Path):
"""Validate a single Python script"""
script_name = script_path.name
self.log_verbose(f"Validating script: {script_name}")
try:
content = script_path.read_text(encoding='utf-8')
# Count lines of code (excluding empty lines and comments)
lines = content.split('\n')
loc = len([line for line in lines if line.strip() and not line.strip().startswith('#')])
# Check script size against tier requirements
size_range = self._get_tier_requirement("script_size_range", (100, 1000))
min_size, max_size = size_range
if min_size <= loc <= max_size:
self.report.add_check(f"script_size_{script_name}", True,
f"{script_name} has {loc} LOC (within {min_size}-{max_size})", 1.0)
else:
self.report.add_check(f"script_size_{script_name}", False,
f"{script_name} has {loc} LOC (outside {min_size}-{max_size})", 0.5)
if loc < min_size:
self.report.add_suggestion(f"Consider expanding {script_name} (currently {loc} LOC)")
else:
self.report.add_suggestion(f"Consider refactoring {script_name} (currently {loc} LOC)")
# Parse and validate Python syntax
try:
tree = ast.parse(content)
self.report.add_check(f"script_syntax_{script_name}", True,
f"{script_name} has valid Python syntax", 1.0)
# Check for required features
self._validate_script_features(tree, script_name, content)
except SyntaxError as e:
self.report.add_check(f"script_syntax_{script_name}", False,
f"{script_name} has syntax error: {str(e)}", 0.0)
self.report.add_error(f"Syntax error in {script_name}: {str(e)}")
except Exception as e:
self.report.add_check(f"script_readable_{script_name}", False,
f"Cannot read {script_name}: {str(e)}", 0.0)
self.report.add_error(f"Cannot read {script_name}: {str(e)}")
def _validate_script_features(self, tree: ast.AST, script_name: str, content: str):
"""Validate required script features"""
required_features = self._get_tier_requirement("features_required", ["argparse", "main_guard"])
# Check for argparse usage
if "argparse" in required_features:
has_argparse = self._check_argparse_usage(tree)
self.report.add_check(f"script_argparse_{script_name}", has_argparse,
f"{'Uses' if has_argparse else 'Missing'} argparse in {script_name}", 1.0 if has_argparse else 0.0)
if not has_argparse:
self.report.add_error(f"{script_name} must use argparse for command-line arguments")
# Check for main guard
if "main_guard" in required_features:
has_main_guard = 'if __name__ == "__main__"' in content
self.report.add_check(f"script_main_guard_{script_name}", has_main_guard,
f"{'Has' if has_main_guard else 'Missing'} main guard in {script_name}", 1.0 if has_main_guard else 0.0)
if not has_main_guard:
self.report.add_error(f"{script_name} must have 'if __name__ == \"__main__\"' guard")
# Check for external imports (should only use stdlib)
external_imports = self._check_external_imports(tree)
if not external_imports:
self.report.add_check(f"script_imports_{script_name}", True,
f"{script_name} uses only standard library", 1.0)
else:
self.report.add_check(f"script_imports_{script_name}", False,
f"{script_name} uses external imports: {', '.join(external_imports)}", 0.0)
self.report.add_error(f"{script_name} uses external imports: {', '.join(external_imports)}")
def _check_argparse_usage(self, tree: ast.AST) -> bool:
"""Check if the script uses argparse"""
for node in ast.walk(tree):
if isinstance(node, ast.Import):
for alias in node.names:
if alias.name == 'argparse':
return True
elif isinstance(node, ast.ImportFrom):
if node.module == 'argparse':
return True
return False
def _check_external_imports(self, tree: ast.AST) -> List[str]:
"""Check for external (non-stdlib) imports"""
# Simplified check - a more comprehensive solution would use a stdlib module list
stdlib_modules = {
'argparse', 'ast', 'json', 'os', 'sys', 'pathlib', 'datetime', 'typing',
'collections', 're', 'math', 'random', 'itertools', 'functools', 'operator',
'csv', 'sqlite3', 'urllib', 'http', 'html', 'xml', 'email', 'base64',
'hashlib', 'hmac', 'secrets', 'tempfile', 'shutil', 'glob', 'fnmatch',
'subprocess', 'threading', 'multiprocessing', 'queue', 'time', 'calendar',
'zoneinfo', 'locale', 'gettext', 'logging', 'warnings', 'unittest',
'doctest', 'pickle', 'copy', 'pprint', 'reprlib', 'enum', 'dataclasses',
'contextlib', 'abc', 'atexit', 'traceback', 'gc', 'weakref', 'types',
'copy', 'pprint', 'reprlib', 'enum', 'decimal', 'fractions', 'statistics',
'cmath', 'platform', 'errno', 'io', 'codecs', 'unicodedata', 'stringprep',
'textwrap', 'string', 'struct', 'difflib', 'heapq', 'bisect', 'array',
'weakref', 'types', 'copyreg', 'uuid', 'mmap', 'ctypes'
}
external_imports = []
for node in ast.walk(tree):
if isinstance(node, ast.Import):
for alias in node.names:
module_name = alias.name.split('.')[0]
if module_name not in stdlib_modules:
external_imports.append(alias.name)
elif isinstance(node, ast.ImportFrom) and node.module:
module_name = node.module.split('.')[0]
if module_name not in stdlib_modules:
external_imports.append(node.module)
return list(set(external_imports))
def _validate_tier_compliance(self):
"""Validate overall tier compliance"""
if not self.target_tier:
return
self.log_verbose(f"Validating {self.target_tier} tier compliance...")
# This is a summary check - individual checks are done in other methods
critical_checks = ["skill_md_exists", "min_scripts_count", "skill_md_length"]
failed_critical = [check for check in critical_checks
if check in self.report.checks and not self.report.checks[check]["passed"]]
if not failed_critical:
self.report.add_check("tier_compliance", True,
f"Meets {self.target_tier} tier requirements", 1.0)
else:
self.report.add_check("tier_compliance", False,
f"Does not meet {self.target_tier} tier requirements", 0.0)
self.report.add_error(f"Failed critical checks for {self.target_tier} tier: {', '.join(failed_critical)}")
def _get_tier_requirement(self, requirement: str, default: Any) -> Any:
"""Get tier-specific requirement value"""
if self.target_tier and self.target_tier in self.TIER_REQUIREMENTS:
return self.TIER_REQUIREMENTS[self.target_tier].get(requirement, default)
return default
class ReportFormatter:
"""Formats validation reports for output"""
@staticmethod
def format_json(report: ValidationReport) -> str:
"""Format report as JSON"""
return json.dumps({
"skill_path": report.skill_path,
"timestamp": report.timestamp,
"overall_score": round(report.overall_score, 1),
"compliance_level": report.compliance_level,
"checks": report.checks,
"warnings": report.warnings,
"errors": report.errors,
"suggestions": report.suggestions
}, indent=2)
@staticmethod
def format_human_readable(report: ValidationReport) -> str:
"""Format report as human-readable text"""
lines = []
lines.append("=" * 60)
lines.append("SKILL VALIDATION REPORT")
lines.append("=" * 60)
lines.append(f"Skill: {report.skill_path}")
lines.append(f"Timestamp: {report.timestamp}")
lines.append(f"Overall Score: {report.overall_score:.1f}/100 ({report.compliance_level})")
lines.append("")
# Group checks by category
structure_checks = {k: v for k, v in report.checks.items() if k.startswith(('skill_md', 'readme', 'dir_'))}
script_checks = {k: v for k, v in report.checks.items() if k.startswith('script_')}
other_checks = {k: v for k, v in report.checks.items() if k not in structure_checks and k not in script_checks}
if structure_checks:
lines.append("STRUCTURE VALIDATION:")
for check_name, result in structure_checks.items():
status = "✓ PASS" if result["passed"] else "✗ FAIL"
lines.append(f" {status}: {result['message']}")
lines.append("")
if script_checks:
lines.append("SCRIPT VALIDATION:")
for check_name, result in script_checks.items():
status = "✓ PASS" if result["passed"] else "✗ FAIL"
lines.append(f" {status}: {result['message']}")
lines.append("")
if other_checks:
lines.append("OTHER CHECKS:")
for check_name, result in other_checks.items():
status = "✓ PASS" if result["passed"] else "✗ FAIL"
lines.append(f" {status}: {result['message']}")
lines.append("")
if report.errors:
lines.append("ERRORS:")
for error in report.errors:
lines.append(f"{error}")
lines.append("")
if report.warnings:
lines.append("WARNINGS:")
for warning in report.warnings:
lines.append(f"{warning}")
lines.append("")
if report.suggestions:
lines.append("SUGGESTIONS:")
for suggestion in report.suggestions:
lines.append(f"{suggestion}")
lines.append("")
return "\n".join(lines)
def main():
"""Main entry point"""
parser = argparse.ArgumentParser(
description="Validate skill directories against quality standards",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
python skill_validator.py engineering/my-skill
python skill_validator.py engineering/my-skill --tier POWERFUL --json
python skill_validator.py engineering/my-skill --verbose
Tier Options:
BASIC - Basic skill requirements (100+ lines SKILL.md, 1+ script)
STANDARD - Standard skill requirements (200+ lines, advanced features)
POWERFUL - Powerful skill requirements (300+ lines, comprehensive features)
"""
)
parser.add_argument("skill_path",
help="Path to the skill directory to validate")
parser.add_argument("--tier",
choices=["BASIC", "STANDARD", "POWERFUL"],
help="Target tier for validation (optional)")
parser.add_argument("--json",
action="store_true",
help="Output results in JSON format")
parser.add_argument("--verbose",
action="store_true",
help="Enable verbose logging")
args = parser.parse_args()
try:
# Create validator and run validation
validator = SkillValidator(args.skill_path, args.tier, args.verbose)
report = validator.validate_skill_structure()
# Format and output report
if args.json:
print(ReportFormatter.format_json(report))
else:
print(ReportFormatter.format_human_readable(report))
# Exit with error code if validation failed
if report.errors or report.overall_score < 60:
sys.exit(1)
else:
sys.exit(0)
except KeyboardInterrupt:
print("\nValidation interrupted by user", file=sys.stderr)
sys.exit(130)
except Exception as e:
print(f"Validation failed: {str(e)}", file=sys.stderr)
if args.verbose:
import traceback
traceback.print_exc()
sys.exit(1)
if __name__ == "__main__":
main()