القائمة
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/microwind/ai-skills --skill jsonيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | JSON验证器 |
| description | 当验证JSON文件、检查语法、调试JSON错误或格式化JSON时，在无效JSON到达下游之前捕获错误。 |
| license | MIT |
JSON无处不在 - 配置文件、API、数据存储。无效的JSON会静默破坏系统。在它们到达生产环境之前捕获错误。
核心原则: 尽早验证，经常验证。源头的无效JSON是你代码中的错误。
始终:
触发短语:
问题:
JSON语法不正确
错误示例:
{
"name": "John",
"age": 30, ← 末尾多余的逗号
"city": "New York"
}
解决方案:
移除最后一个属性后的逗号
{
"name": "John",
"age": 30,
"city": "New York"
}
问题:
引号使用不正确
错误示例:
{
name: "John", ← 键名需要引号
"message": 'Hello' ← 值必须使用双引号
}
解决方案:
所有键名和字符串值都必须使用双引号
{
"name": "John",
"message": "Hello"
}
问题:
数据类型不匹配
错误示例:
{
"count": "100", ← 应该是数字
"active": "true", ← 应该是布尔值
"items": null ← 不应该是null
}
解决方案:
使用正确的JSON数据类型
{
"count": 100,
"active": true,
"items": []
}
import json
import re
from typing import Dict, List, Any, Optional, Union
from dataclasses import dataclass
from enum import Enum
import jsonschema
class ValidationLevel(Enum):
ERROR = "error"
WARNING = "warning"
INFO = "info"
@dataclass
class ValidationResult:
"""验证结果"""
level: ValidationLevel
message: str
line: Optional[int] = None
column: Optional[int] = None
path: Optional[str] = None
suggestion: Optional[str] = None
@dataclass
class JSONDocument:
"""JSON文档"""
content: Dict[str, Any]
raw_text: str
encoding: str
metadata: Dict[str, Any]
class JSONValidator:
"""JSON验证器"""
():
.validation_rules = ._initialize_validation_rules()
.json_schemas = {}
() -> [ValidationResult]:
:
(file_path, , encoding=) f:
content = f.read()
Exception e:
[ValidationResult(
level=ValidationLevel.ERROR,
message=
)]
.validate_json_content(content, schema)
() -> [ValidationResult]:
results = []
syntax_results = ._validate_syntax(content)
results.extend(syntax_results)
(r.level == ValidationLevel.ERROR r syntax_results):
results
:
json_data = json.loads(content)
structure_results = ._validate_structure(json_data)
results.extend(structure_results)
schema:
schema_results = ._validate_schema(json_data, schema)
results.extend(schema_results)
semantic_results = ._validate_semantics(json_data)
results.extend(semantic_results)
performance_results = ._check_performance(json_data)
results.extend(performance_results)
json.JSONDecodeError e:
results.append(ValidationResult(
level=ValidationLevel.ERROR,
message=,
line=(e, , ),
column=(e, , )
))
results
() -> [ValidationResult]:
results = []
lines = content.split()
line_num, line (lines, ):
re.search(, line):
results.append(ValidationResult(
level=ValidationLevel.ERROR,
message=,
line=line_num,
column=line.find() + ,
suggestion=
))
re.search(, line):
= re.search(, line)
line.strip().startswith():
results.append(ValidationResult(
level=ValidationLevel.ERROR,
message=,
line=line_num,
column=line.find(.group()) + ,
suggestion=
))
line line.strip().startswith():
results.append(ValidationResult(
level=ValidationLevel.ERROR,
message=,
line=line_num,
column=line.find() + ,
suggestion=
))
line.strip() line.strip().startswith():
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
line=line_num,
column=line.find() + ,
suggestion=
))
results
() -> [ValidationResult]:
results = []
._check_data_types(json_data, , results)
max_depth = ._calculate_depth(json_data)
max_depth > :
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
suggestion=
))
._check_array_sizes(json_data, , results)
._check_object_keys(json_data, , results)
results
():
(data, ):
key, value data.items():
current_path = path key
(key, ):
results.append(ValidationResult(
level=ValidationLevel.ERROR,
message=,
path=current_path
))
._check_data_types(value, current_path, results)
(data, ):
i, item (data):
current_path = path
._check_data_types(item, current_path, results)
() -> :
(data, ):
data:
current_depth
(._calculate_depth(value, current_depth + ) value data.values())
(data, ):
data:
current_depth
(._calculate_depth(item, current_depth + ) item data)
:
current_depth
():
(data, ):
key, value data.items():
current_path = path key
._check_array_sizes(value, current_path, results)
(data, ):
(data) > :
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
path=path,
suggestion=
))
i, item (data):
current_path = path
._check_array_sizes(item, current_path, results)
():
(data, ):
keys = (data.keys())
unique_keys = (keys)
(keys) != (unique_keys):
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
path=path,
suggestion=
))
key keys:
re.(, key):
results.append(ValidationResult(
level=ValidationLevel.INFO,
message=,
path= path key,
suggestion=
))
key, value data.items():
current_path = path key
._check_object_keys(value, current_path, results)
(data, ):
i, item (data):
current_path = path
._check_object_keys(item, current_path, results)
() -> [ValidationResult]:
results = []
:
jsonschema.validate(json_data, schema)
jsonschema.ValidationError e:
results.append(ValidationResult(
level=ValidationLevel.ERROR,
message=,
path=.join((p) p e.absolute_path) e.absolute_path ,
suggestion=
))
jsonschema.SchemaError e:
results.append(ValidationResult(
level=ValidationLevel.ERROR,
message=,
suggestion=
))
results
() -> [ValidationResult]:
results = []
._check_null_values(json_data, , results)
._check_empty_strings(json_data, , results)
._check_numeric_ranges(json_data, , results)
._check_date_formats(json_data, , results)
results
():
(data, ):
key, value data.items():
current_path = path key
value :
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
path=current_path,
suggestion=
))
._check_null_values(value, current_path, results)
(data, ):
i, item (data):
current_path = path
._check_null_values(item, current_path, results)
():
(data, ):
key, value data.items():
current_path = path key
value == :
results.append(ValidationResult(
level=ValidationLevel.INFO,
message=,
path=current_path,
suggestion=
))
._check_empty_strings(value, current_path, results)
(data, ):
i, item (data):
current_path = path
._check_empty_strings(item, current_path, results)
():
(data, ):
key, value data.items():
current_path = path key
key.lower() (value, (, )):
value < value > :
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
path=current_path,
suggestion=
))
key.lower() (value, (, )):
value < :
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
path=current_path,
suggestion=
))
._check_numeric_ranges(value, current_path, results)
(data, ):
i, item (data):
current_path = path
._check_numeric_ranges(item, current_path, results)
():
date_patterns = [
,
,
,
]
(data, ):
key, value data.items():
current_path = path key
key.lower() (value, ):
(re.(pattern, value) pattern date_patterns):
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
path=current_path,
suggestion=
))
._check_date_formats(value, current_path, results)
(data, ):
i, item (data):
current_path = path
._check_date_formats(item, current_path, results)
() -> [ValidationResult]:
results = []
json_str = json.dumps(json_data, ensure_ascii=)
size_bytes = (json_str.encode())
size_mb = size_bytes / ( * )
size_mb > :
results.append(ValidationResult(
level=ValidationLevel.WARNING,
message=,
suggestion=
))
._check_string_lengths(json_data, , results)
results
():
(data, ):
key, value data.items():
current_path = path key
._check_string_lengths(value, current_path, results)
(data, ):
i, item (data):
current_path = path
._check_string_lengths(item, current_path, results)
(data, ):
(data) > :
results.append(ValidationResult(
level=ValidationLevel.INFO,
message=,
path=path,
suggestion=
))
() -> [, ]:
{
: ,
: ,
: ,
:
}
() -> :
results:
report = []
by_level = {
ValidationLevel.ERROR: [],
ValidationLevel.WARNING: [],
ValidationLevel.INFO: []
}
result results:
by_level[result.level].append(result)
level [ValidationLevel.ERROR, ValidationLevel.WARNING, ValidationLevel.INFO]:
by_level[level]:
level_name = level.value.upper()
report.append()
result by_level[level]:
location =
result.line:
location =
result.column:
location +=
location +=
result.path:
location =
report.append()
result.suggestion:
report.append()
report.append()
error_count = (by_level[ValidationLevel.ERROR])
warning_count = (by_level[ValidationLevel.WARNING])
info_count = (by_level[ValidationLevel.INFO])
summary =
error_count > :
summary +=
warning_count > :
summary +=
:
summary +=
report.append(summary)
.join(report)
():
validator = JSONValidator()
json_content =
results = validator.validate_json_content(json_content)
report = validator.generate_validation_report(results)
(report)
__name__ == :
main()
import json
from typing import Dict, Any, Optional
import yaml
class JSONFormatter:
"""JSON格式化工具"""
def __init__(self):
self.indent_size = 2
self.sort_keys = False
self.ensure_ascii = False
def format_json_file(self, file_path: str, output_path: Optional[str] = None) -> bool:
"""格式化JSON文件"""
try:
# 读取文件
with open(file_path, 'r', encoding='utf-8') as f:
data = json.load(f)
# 格式化输出
formatted_json = json.dumps(
data,
indent=self.indent_size,
sort_keys=self.sort_keys,
ensure_ascii=self.ensure_ascii
)
# 写入文件
output_file = output_path or file_path
with open(output_file, 'w', encoding='utf-8') as f:
f.write(formatted_json)
Exception e:
()
() -> :
:
(file_path, , encoding=) f:
data = json.load(f)
minified_json = json.dumps(
data,
separators=(, ),
ensure_ascii=.ensure_ascii
)
output_file = output_path file_path
(output_file, , encoding=) f:
f.write(minified_json)
Exception e:
()
() -> :
:
(json_file, , encoding=) f:
data = json.load(f)
(yaml_file, , encoding=) f:
yaml.dump(data, f, allow_unicode=, default_flow_style=)
Exception e:
()
() -> :
:
(yaml_file, , encoding=) f:
data = yaml.safe_load(f)
(json_file, , encoding=) f:
json.dump(data, f, indent=.indent_size, ensure_ascii=.ensure_ascii)
Exception e:
()
() -> [, ]:
:
(file1, , encoding=) f:
data1 = json.load(f)
(file2, , encoding=) f:
data2 = json.load(f)
data1 == data2:
{
: ,
: []
}
:
differences = ._find_differences(data1, data2, )
{
: ,
: differences
}
Exception e:
{
: ,
: (e)
}
() -> []:
differences = []
(obj1) != (obj2):
differences.append()
(obj1, ):
keys1 = (obj1.keys())
keys2 = (obj2.keys())
keys1 != keys2:
missing_in_obj2 = keys1 - keys2
missing_in_obj1 = keys2 - keys1
key missing_in_obj2:
differences.append()
key missing_in_obj1:
differences.append()
common_keys = keys1 & keys2
key common_keys:
new_path = path key
differences.extend(._find_differences(obj1[key], obj2[key], new_path))
(obj1, ):
(obj1) != (obj2):
differences.append()
:
i, (item1, item2) ((obj1, obj2)):
new_path = path
differences.extend(._find_differences(item1, item2, new_path))
obj1 != obj2:
differences.append()
differences
():
formatter = JSONFormatter()
success = formatter.format_json_file()
success:
()
formatter.minify_json_file(, )
formatter.json_to_yaml(, )
comparison = formatter.compare_json_files(, )
comparison[]:
()
:
()
diff comparison[]:
()
__name__ == :
main()