Files
document-haness/korean-technical-blog-skills-bundle-v1/reducing-ai-like-korean-writing/scripts/validate_skill.py
T
DongHyeonkaandClaude Opus 5 1099834617 chore: snapshot working tree before harness removal
미추적 파일과 미커밋 수정을 전부 담아 pre-harness-removal 태그의 복구
범위를 확보한다. .agents/skills/writing-natural-korean 9개와
korean-technical-blog-skills-bundle-v1 61개가 여기 포함된다.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-07 14:19:24 +09:00

140 lines
5.7 KiB
Python
Executable File

#!/usr/bin/env python3
from __future__ import annotations
import json
import re
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
REQUIRED = [
ROOT / "SKILL.md",
ROOT / "README.md",
ROOT / "references" / "decision-policy.md",
ROOT / "references" / "genre-profiles.md",
ROOT / "references" / "output-modes.md",
ROOT / "references" / "pattern-catalog.md",
ROOT / "references" / "source-basis.md",
ROOT / "tests" / "baseline-observations.md",
ROOT / "tests" / "cases.json",
ROOT / "tests" / "evaluation-rubric.md",
ROOT / "tests" / "pressure-scenarios.md",
]
def fail(message: str) -> None:
print(f"FAIL: {message}")
raise SystemExit(1)
def parse_frontmatter(text: str) -> dict[str, str]:
match = re.match(r"^---\n(.*?)\n---\n", text, re.S)
if not match:
fail("SKILL.md must begin with YAML frontmatter")
block = match.group(1)
result: dict[str, str] = {}
for key in ("name", "description"):
key_match = re.search(rf"(?m)^{key}:\s*(.+)$", block)
if not key_match:
fail(f"frontmatter is missing {key!r}")
result[key] = key_match.group(1).strip().strip('"').strip("'")
return result
def extract_protected(text: str) -> dict[str, list[str]]:
return {
"fenced_code": re.findall(r"```.*?```", text, re.S),
"inline_code": re.findall(r"(?<!`)`[^`\n]+`(?!`)", text),
"url": re.findall(r"https?://[^\s<>()]+", text),
"numbers": re.findall(r"(?<![A-Za-z])\d+(?:\.\d+)?%?", text),
}
def main() -> None:
missing = [str(path.relative_to(ROOT)) for path in REQUIRED if not path.exists()]
if missing:
fail("missing required files: " + ", ".join(missing))
skill_text = (ROOT / "SKILL.md").read_text(encoding="utf-8")
frontmatter = parse_frontmatter(skill_text)
name = frontmatter["name"]
description = frontmatter["description"]
if name != ROOT.name:
fail(f"frontmatter name {name!r} must match directory {ROOT.name!r}")
if not re.fullmatch(r"[a-z0-9]+(?:-[a-z0-9]+)*", name):
fail("name must use lowercase letters, numbers, and hyphens only")
if len(name) > 64:
fail("name exceeds 64 characters")
if not description.startswith("Use when "):
fail("description must start with 'Use when '")
if len((name + description).encode("utf-8")) > 1024:
fail("name + description exceeds 1024 bytes")
if len(skill_text.split()) > 500:
fail(f"SKILL.md exceeds 500 words: {len(skill_text.split())}")
if "cite" in skill_text or "filecite" in skill_text or re.search(r"turn\d+(?:view|search|file)\d+", skill_text):
fail("runtime-specific citation markers must not appear in SKILL.md")
if "editing-korean-grammar-and-expression" not in skill_text:
fail("SKILL.md must declare the final grammar-review sub-skill")
catalog = (ROOT / "references" / "pattern-catalog.md").read_text(encoding="utf-8")
known_patterns = set(re.findall(r"(?m)^###\s+(AIK-(?:[A-Z]+-)+\d{3})\b", catalog))
if not known_patterns:
fail("pattern catalog contains no AIK pattern headings")
cases = json.loads((ROOT / "tests" / "cases.json").read_text(encoding="utf-8"))
if not isinstance(cases, list) or not cases:
fail("tests/cases.json must be a non-empty array")
required_keys = {
"id", "category", "input", "expected_action", "reference_text",
"pattern_ids", "required_properties", "forbidden_changes", "explanation"
}
allowed_actions = {"rewrite", "keep", "suggest", "review"}
ids: set[str] = set()
used_patterns: set[str] = set()
for index, case in enumerate(cases):
if not isinstance(case, dict):
fail(f"case #{index} must be an object")
missing_keys = required_keys - set(case)
if missing_keys:
fail(f"case #{index} missing keys: {sorted(missing_keys)}")
if case["id"] in ids:
fail(f"duplicate case id: {case['id']}")
ids.add(case["id"])
if case["expected_action"] not in allowed_actions:
fail(f"invalid expected_action in {case['id']}: {case['expected_action']}")
if not isinstance(case["pattern_ids"], list):
fail(f"pattern_ids must be an array in {case['id']}")
unknown = set(case["pattern_ids"]) - known_patterns
if unknown:
fail(f"unknown pattern IDs in {case['id']}: {sorted(unknown)}")
used_patterns.update(case["pattern_ids"])
if case["expected_action"] == "keep" and case["reference_text"] != case["input"]:
fail(f"keep case {case['id']} must preserve input exactly")
if case["expected_action"] == "rewrite" and case["reference_text"] == case["input"]:
fail(f"rewrite case {case['id']} must change reference_text")
for key in ("required_properties", "forbidden_changes"):
if not isinstance(case[key], list) or not case[key]:
fail(f"{key} must be a non-empty array in {case['id']}")
if case["expected_action"] in {"rewrite", "keep"}:
before = extract_protected(case["input"])
after = extract_protected(case["reference_text"])
for kind in ("fenced_code", "inline_code", "url", "numbers"):
if before[kind] and before[kind] != after[kind]:
fail(f"protected {kind} changed in {case['id']}: {before[kind]} -> {after[kind]}")
uncovered = known_patterns - used_patterns
if uncovered:
fail(f"pattern IDs without test coverage: {sorted(uncovered)}")
print(
f"PASS: Agent Skill structure valid; {len(cases)} test cases; "
f"{len(known_patterns)} pattern IDs; SKILL.md words={len(skill_text.split())}"
)
if __name__ == "__main__":
main()