feat: 工资查询助手首版 v1.0.105

基于 skill-template 脚手架开发，包含： - payroll_config（费率配置，可编辑）+ payslip_snapshots（解析历史，只读）2 张业务表 - 全国默认 + 北上广 4 套费率（社保/公积金/个税起征点/7 级税率表） - 5 个业务 Action：calculate-payslip-simple / calculate-payslip-full / explain-term / view-config / edit-config - 个税累计预扣法计算，支持多月历史累加 - 20 个薪资名词库（社保/公积金/个税/全勤/加班费等） - 完整市场文档（README/TUTORIAL/DEMO/CHANGELOG） - 296 测试全部通过
2026-09-07 17:02:05 +08:00
commit 3db196e49d
205 changed files with 29927 additions and 0 deletions
--- a/scripts/util/argparse_zh.py
+++ b/scripts/util/argparse_zh.py
@@ -0,0 +1,12 @@
+"""argparse 中文错误说明。"""
+
+from __future__ import annotations
+
+import argparse
+import sys
+
+
+class ZhArgumentParser(argparse.ArgumentParser):
+    def error(self, message: str) -> None:
+        print(f"参数错误：{message}\n请执行：python main.py -h 查看帮助", file=sys.stderr)
+        self.exit(2)
--- a/scripts/util/config_bootstrap.py
+++ b/scripts/util/config_bootstrap.py
@@ -0,0 +1,19 @@
+"""技能配置初始化：.env.example 落盘与用户 .env 缺失项合并。"""
+
+from __future__ import annotations
+
+import os
+
+from jiangchang_skill_core import config
+
+from util.constants import SKILL_SLUG, SKILL_VERSION
+from util.runtime_paths import get_skill_root
+
+
+def bootstrap_skill_config() -> str:
+    """确保用户数据目录 .env 存在，并追加 .env.example 中的新配置项。"""
+    example_path = os.path.join(get_skill_root(), ".env.example")
+    env_path = config.ensure_env_file(SKILL_SLUG, example_path)
+    comment = f"{SKILL_SLUG} v{SKILL_VERSION}" if SKILL_VERSION else None
+    config.merge_missing_env_keys(example_path, env_path, comment_skill=comment)
+    return env_path
--- a/scripts/util/constants.py
+++ b/scripts/util/constants.py
@@ -0,0 +1,6 @@
+"""技能标识、版本与平台公共库约束（复制后请修改 slug/version/logger）。"""
+
+SKILL_SLUG = "query-payslip-default"
+SKILL_VERSION = "1.0.105"
+LOG_LOGGER_NAME = "openclaw.skill.query_payslip_default"
+PLATFORM_KIT_MIN_VERSION = "1.2.11"
--- a/scripts/util/logging_config.py
+++ b/scripts/util/logging_config.py
@@ -0,0 +1,21 @@
+"""Re-export unified logging (implementation: jiangchang_skill_core.unified_logging)."""
+
+from jiangchang_skill_core.unified_logging import (
+    attach_unified_file_handler,
+    ensure_trace_for_process,
+    get_skill_log_file_path,
+    get_skill_logger,
+    get_unified_logs_dir,
+    setup_skill_logging,
+    subprocess_env_with_trace,
+)
+
+__all__ = [
+    "attach_unified_file_handler",
+    "ensure_trace_for_process",
+    "get_skill_log_file_path",
+    "get_skill_logger",
+    "get_unified_logs_dir",
+    "setup_skill_logging",
+    "subprocess_env_with_trace",
+]
--- a/scripts/util/runtime_paths.py
+++ b/scripts/util/runtime_paths.py
@@ -0,0 +1,155 @@
+"""数据根、技能目录、兄弟技能根路径与用户数据子目录解析。"""
+
+from __future__ import annotations
+
+import os
+
+from jiangchang_skill_core.runtime_env import get_data_root, get_sibling_skills_root, get_user_id
+
+from util.constants import SKILL_SLUG
+
+_SCRIPTS_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+# 用户可见的上行/下行目录（数据管理「输入/输出」文件浏览器）
+STANDARD_SUBDIR_INPUT = "input"
+STANDARD_SUBDIR_OUTPUT = "output"
+
+# 宿主扫描的 HTML 报告页（数据管理侧栏 htmlPages，非 input/output 文件浏览器）
+STANDARD_SUBDIR_HTML = "html"
+
+# 内部/可选目录（不上侧栏）
+STANDARD_SUBDIR_UPLOADS = "uploads"
+STANDARD_SUBDIR_CACHE = "cache"
+STANDARD_SUBDIR_TEMP = "temp"
+STANDARD_SUBDIR_RPA_ARTIFACTS = "rpa-artifacts"
+STANDARD_SUBDIR_VIDEOS = "videos"
+
+CONFIG_KEY_INPUT_DIR = "SKILL_INPUT_DIR"
+CONFIG_KEY_OUTPUT_DIR = "SKILL_OUTPUT_DIR"
+CONFIG_KEY_UPLOAD_DIR = "SKILL_UPLOAD_DIR"
+CONFIG_KEY_CACHE_DIR = "SKILL_CACHE_DIR"
+CONFIG_KEY_TEMP_DIR = "SKILL_TEMP_DIR"
+
+
+def get_skill_root() -> str:
+    return os.path.dirname(_SCRIPTS_DIR)
+
+
+def get_openclaw_root() -> str:
+    return get_sibling_skills_root(_SCRIPTS_DIR)
+
+
+def get_skills_root() -> str:
+    return get_sibling_skills_root(_SCRIPTS_DIR)
+
+
+def get_skill_data_dir() -> str:
+    path = os.path.join(get_data_root(), get_user_id(), SKILL_SLUG)
+    os.makedirs(path, exist_ok=True)
+    return path
+
+
+def get_db_path(filename: str | None = None) -> str:
+    name = filename or f"{SKILL_SLUG}.db"
+    return os.path.join(get_skill_data_dir(), name)
+
+
+def _normalize_subdir(value: str) -> str:
+    cleaned = value.strip().strip("/\\")
+    if not cleaned or cleaned.startswith(".."):
+        raise ValueError(f"invalid skill data subdir: {value!r}")
+    return cleaned.replace("/", os.sep).replace("\\", os.sep)
+
+
+def resolve_data_path(
+    config_key: str | None,
+    default_subdir: str,
+    *,
+    create: bool = True,
+) -> str:
+    """解析技能拥有路径：空配置 → 数据目录下 default_subdir；相对 → 相对数据目录；绝对 → 原样。"""
+    from jiangchang_skill_core import config
+
+    base = get_skill_data_dir()
+    raw = (config.get(config_key) or "").strip() if config_key else ""
+    if not raw:
+        path = os.path.join(base, _normalize_subdir(default_subdir))
+    elif os.path.isabs(raw):
+        path = os.path.abspath(os.path.expanduser(raw))
+    else:
+        path = os.path.join(base, _normalize_subdir(raw))
+
+    if create:
+        os.makedirs(path, exist_ok=True)
+    return path
+
+
+def resolve_input_path(raw_path: str, *, create_parent: bool = False) -> str:
+    """解析 CLI 输入路径：绝对路径原样；相对路径相对 {skill_data_dir}/input/。"""
+    text = (raw_path or "").strip()
+    if not text:
+        return text
+    expanded = os.path.expanduser(text)
+    if os.path.isabs(expanded):
+        return os.path.abspath(expanded)
+    input_dir = get_input_dir(create=create_parent)
+    return os.path.abspath(os.path.join(input_dir, os.path.normpath(expanded)))
+
+
+def get_input_dir(*, create: bool = True) -> str:
+    """上行：用户/Agent 放入的待处理文件（清单、CSV、产品表等）。"""
+    return resolve_data_path(CONFIG_KEY_INPUT_DIR, STANDARD_SUBDIR_INPUT, create=create)
+
+
+def get_output_dir(*, create: bool = True) -> str:
+    """下行：技能/宿主交给用户拿走的文件（视频、报表、导出 CSV 等）。"""
+    return resolve_data_path(CONFIG_KEY_OUTPUT_DIR, STANDARD_SUBDIR_OUTPUT, create=create)
+
+
+def get_uploads_dir(*, create: bool = True) -> str:
+    return resolve_data_path(CONFIG_KEY_UPLOAD_DIR, STANDARD_SUBDIR_UPLOADS, create=create)
+
+
+def get_cache_dir(*, create: bool = True) -> str:
+    return resolve_data_path(CONFIG_KEY_CACHE_DIR, STANDARD_SUBDIR_CACHE, create=create)
+
+
+def get_temp_dir(*, create: bool = True) -> str:
+    return resolve_data_path(CONFIG_KEY_TEMP_DIR, STANDARD_SUBDIR_TEMP, create=create)
+
+
+def get_rpa_artifacts_dir(batch_id: str, *, create: bool = True) -> str:
+    batch = (batch_id or "").strip() or "default"
+    path = os.path.join(get_skill_data_dir(), STANDARD_SUBDIR_RPA_ARTIFACTS, batch)
+    if create:
+        os.makedirs(path, exist_ok=True)
+    return path
+
+
+def get_videos_dir(*, create: bool = True) -> str:
+    path = os.path.join(get_skill_data_dir(), STANDARD_SUBDIR_VIDEOS)
+    if create:
+        os.makedirs(path, exist_ok=True)
+    return path
+
+
+def get_html_dir(*, create: bool = True) -> str:
+    """HTML 报告页目录：宿主扫描 `{skill_data}/html/*.html`（一层、非递归）。"""
+    path = os.path.join(get_skill_data_dir(), STANDARD_SUBDIR_HTML)
+    if create:
+        os.makedirs(path, exist_ok=True)
+    return path
+
+
+def list_resolved_data_paths() -> dict[str, str]:
+    """供 health / config-path 输出已解析的数据子目录（不创建目录）。"""
+    return {
+        "skill_data_dir": get_skill_data_dir(),
+        "input_dir": get_input_dir(create=False),
+        "output_dir": get_output_dir(create=False),
+        "html_dir": get_html_dir(create=False),
+        "uploads_dir": get_uploads_dir(create=False),
+        "cache_dir": get_cache_dir(create=False),
+        "temp_dir": get_temp_dir(create=False),
+        "videos_dir": get_videos_dir(create=False),
+    }
--- a/scripts/util/slug_naming.py
+++ b/scripts/util/slug_naming.py
@@ -0,0 +1,227 @@
+"""技能 slug 语义校验（verb-noun-platform 规范，见 development/NAMING.md）。"""
+
+from __future__ import annotations
+
+import os
+import re
+
+_KEBAB_SLUG = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$")
+_MAX_SLUG_LENGTH = 48
+_MIN_SEGMENTS = 3
+_MAX_SEGMENTS = 5
+_MAX_NOUN_SEGMENTS = 3
+
+_SKILL_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+_NAMING_DIR = os.path.join(_SKILL_ROOT, "assets", "naming")
+
+_BUILTIN_VERBS = frozenset(
+    {
+        "scrape",
+        "receive",
+        "download",
+        "export",
+        "add",
+        "fill",
+        "enter",
+        "bind",
+        "withdraw",
+        "reconcile",
+        "verify",
+        "submit",
+        "query",
+        "process",
+        "reply",
+        "generate",
+        "draft",
+        "review",
+        "confirm",
+        "track",
+        "upload",
+        "match",
+        "triage",
+        "ship",
+        "reprice",
+    }
+)
+_BUILTIN_PLATFORMS = frozenset(
+    {
+        "amazon",
+        "shopee",
+        "xinghang",
+        "alibaba",
+        "kingdee",
+        "icbc",
+        "pingpong",
+        "worldfirst",
+        "paypal",
+        "lianlian",
+        "single-window",
+        "export-rebate",
+        "etax",
+    }
+)
+_BUILTIN_SCOPES = frozenset({"all", "batch", "multi", "default"})
+
+LEGACY_EXEMPT_SLUGS: frozenset[str] = frozenset(
+    {
+        "account-manager",
+        "skill-template",
+        "query-payslip-default",
+        "query_payslip_default",
+    }
+)
+
+
+def load_wordlist(filename: str) -> frozenset[str]:
+    """从 assets/naming/{filename} 加载词表；文件不存在时 fallback 内置集合。"""
+    fallbacks = {
+        "verbs.txt": _BUILTIN_VERBS,
+        "platforms.txt": _BUILTIN_PLATFORMS,
+        "scopes.txt": _BUILTIN_SCOPES,
+    }
+    fallback = fallbacks.get(filename, frozenset())
+    path = os.path.join(_NAMING_DIR, filename)
+    if not os.path.isfile(path):
+        return fallback
+    words: set[str] = set()
+    with open(path, encoding="utf-8") as f:
+        for line in f:
+            word = line.strip()
+            if word and not word.startswith("#"):
+                words.add(word)
+    return frozenset(words) if words else fallback
+
+
+def parse_slug_segments(slug: str) -> list[str]:
+    """按 '-' 分割；非法字符由上层 kebab 校验处理。"""
+    slug = slug.strip()
+    if not slug:
+        return []
+    return slug.split("-")
+
+
+def _match_platform_suffix(
+    segments: list[str],
+    platforms: frozenset[str],
+) -> tuple[str, int] | None:
+    """返回 (platform_name, platform_part_count) 或 None。"""
+    for platform in sorted(platforms, key=lambda item: (-item.count("-"), item)):
+        parts = platform.split("-")
+        part_count = len(parts)
+        if len(segments) < part_count + 2:
+            continue
+        if segments[-part_count:] == parts:
+            return platform, part_count
+    return None
+
+
+def classify_slug_form(segments: list[str], *, slug: str = "") -> str:
+    """
+    返回: 'legacy_exempt' | 'standard' | 'scope' | 'invalid'
+
+    - legacy_exempt: slug in LEGACY_EXEMPT_SLUGS
+    - standard: 末段匹配 platforms, 首段 in verbs, 3<=len<=5
+    - scope: 末段 in scopes, 首段 in verbs, 3<=len<=5
+    - invalid: 其他
+    """
+    if slug in LEGACY_EXEMPT_SLUGS:
+        return "legacy_exempt"
+
+    if not segments or not (_MIN_SEGMENTS <= len(segments) <= _MAX_SEGMENTS):
+        return "invalid"
+
+    verbs = load_wordlist("verbs.txt")
+    platforms = load_wordlist("platforms.txt")
+    scopes = load_wordlist("scopes.txt")
+
+    if segments[0] not in verbs:
+        return "invalid"
+
+    if segments[-1] in scopes:
+        return "scope"
+
+    if _match_platform_suffix(segments, platforms) is not None:
+        return "standard"
+
+    return "invalid"
+
+
+def validate_slug_semantics(
+    slug: str,
+    *,
+    strict: bool = True,
+) -> tuple[list[str], list[str]]:
+    """返回 (errors, warnings)。"""
+    slug = slug.strip()
+    if slug in LEGACY_EXEMPT_SLUGS:
+        return [], []
+
+    errors: list[str] = []
+    warnings: list[str] = []
+
+    if not _KEBAB_SLUG.fullmatch(slug):
+        msg = f"slug 必须为 kebab-case（小写字母、数字、连字符）：{slug!r}"
+        (errors if strict else warnings).append(msg)
+        return errors, warnings
+
+    if len(slug) > _MAX_SLUG_LENGTH:
+        msg = f"slug 长度不得超过 {_MAX_SLUG_LENGTH} 字符（当前 {len(slug)}）：{slug!r}"
+        (errors if strict else warnings).append(msg)
+
+    segments = parse_slug_segments(slug)
+    segment_count = len(segments)
+
+    if segment_count < _MIN_SEGMENTS:
+        msg = (
+            f"slug 段数应为 {_MIN_SEGMENTS}～{_MAX_SEGMENTS}（verb-noun-platform），"
+            f"当前为 {segment_count} 段：{slug!r}；新技能禁止 2 段无平台形态（如 reconcile-finance）"
+        )
+        (errors if strict else warnings).append(msg)
+        return errors, warnings
+
+    if segment_count > _MAX_SEGMENTS:
+        msg = f"slug 段数不得超过 {_MAX_SEGMENTS}（当前 {segment_count}）：{slug!r}"
+        (errors if strict else warnings).append(msg)
+
+    verbs = load_wordlist("verbs.txt")
+    platforms = load_wordlist("platforms.txt")
+    scopes = load_wordlist("scopes.txt")
+
+    if segments[0] in platforms and segments[0] not in verbs:
+        msg = f"平台名不应放在 slug 最前：{slug!r}（应为 verb-noun-platform）"
+        (errors if strict else warnings).append(msg)
+
+    if segments[0] not in verbs:
+        msg = f"slug 首段应为动词白名单中的词：{segments[0]!r}（slug={slug!r}）"
+        (errors if strict else warnings).append(msg)
+
+    form = classify_slug_form(segments, slug=slug)
+    if form == "scope":
+        if segments[-1] not in scopes:
+            msg = f"slug 末段应为 scope 白名单中的词：{segments[-1]!r}（slug={slug!r}）"
+            (errors if strict else warnings).append(msg)
+        noun_count = segment_count - 2
+    elif form == "standard":
+        platform_match = _match_platform_suffix(segments, platforms)
+        if platform_match is None:
+            msg = f"slug 末段应匹配平台白名单：{slug!r}"
+            (errors if strict else warnings).append(msg)
+            noun_count = 0
+        else:
+            _platform_name, platform_part_count = platform_match
+            noun_count = segment_count - 1 - platform_part_count
+    else:
+        if segment_count >= _MIN_SEGMENTS:
+            if segments[-1] not in scopes:
+                platform_match = _match_platform_suffix(segments, platforms)
+                if platform_match is None:
+                    msg = f"slug 末段应匹配平台或 scope 白名单：{slug!r}"
+                    (errors if strict else warnings).append(msg)
+        noun_count = 0
+
+    if noun_count > _MAX_NOUN_SEGMENTS:
+        warnings.append(
+            f"slug 中间名词段建议不超过 {_MAX_NOUN_SEGMENTS} 个词（当前 {noun_count}）：{slug!r}"
+        )
+
+    return errors, warnings
--- a/scripts/util/timeutil.py
+++ b/scripts/util/timeutil.py
@@ -0,0 +1,20 @@
+"""时间戳与 ISO 展示。"""
+
+from __future__ import annotations
+
+import time
+from datetime import datetime
+from typing import Optional
+
+
+def now_unix() -> int:
+    return int(time.time())
+
+
+def unix_to_iso(ts: Optional[int]) -> Optional[str]:
+    if ts is None:
+        return None
+    try:
+        return datetime.fromtimestamp(int(ts)).isoformat(timespec="seconds")
+    except (ValueError, OSError, OverflowError):
+        return None