qiaoqichaoandClaude Code
d56c699ce6
按 docs/v2/05-implementation-plan.md §1 候选迁移表与 claude_use/T00 白名单， 从 55e2cdb 抽取 224 个文件（2.48 MB）到独立目录 F:/mini-OpenClaw-v2。 - 排除：凭据(.env/server-deploy.conf/旧DELIVERY.md)、运行数据(xingbang_data 等 4 个 SQLite)、依赖(venv/node_modules 符号链接)、归档(_backup*/test-evidence/ ori_file)、Office 临时文件 - 目标目录独立 git 仓库，初始恢复点；Gitea 远程与分支待 OQ-06 Q2 定案 - 未部署、未启动服务、未调用模型 Co-Authored-By: Claude Code <noreply@anthropic.com>
119 lines
4.9 KiB
Python
119 lines
4.9 KiB
Python
"""Skills Scanner — Scan skills/ directory and generate SKILLS_SNAPSHOT.md."""
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from hashlib import sha256
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from pathlib import Path
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import re
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import yaml
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MAX_SKILL_BYTES = 64 * 1024
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def parse_skill(content: str) -> dict:
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"""Validate the small, declarative SKILL.md format used by the workbench."""
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if not isinstance(content, str) or not content.startswith("---") or len(content.encode("utf-8")) > MAX_SKILL_BYTES:
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raise ValueError("SKILL.md 缺少 YAML 头或超过 64 KB")
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parts = content.split("---", 2)
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meta = yaml.safe_load(parts[1]) if len(parts) == 3 else None
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if not isinstance(meta, dict) or not isinstance(meta.get("name"), str) or not meta["name"].strip():
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raise ValueError("SKILL.md 必须声明 name")
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if not isinstance(meta.get("description"), str) or not meta["description"].strip():
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raise ValueError("SKILL.md 必须声明 description")
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details = meta.get("metadata", {})
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if not isinstance(details, dict):
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raise ValueError("SKILL.md 的 metadata 必须是对象")
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for field in ("inputs", "audience"):
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value = meta.get(field, details.get(field))
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if value is not None and (not isinstance(value, list) or not all(isinstance(item, str) for item in value)):
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raise ValueError(f"SKILL.md 的 {field} 必须是文本列表")
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return meta
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def skill_attributes(meta: dict) -> dict:
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return {**meta, **meta.get("metadata", {})}
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def skill_slug(meta: dict) -> str:
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slug = re.sub(r"[^a-z0-9-]+", "-", meta["name"].strip().lower().replace("_", "-")).strip("-")
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if not slug or len(slug) > 64:
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raise ValueError("Skill 名称需使用 1–64 位英文小写字母、数字或连字符")
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return slug
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def install_skill(base_dir: Path, content: str) -> dict:
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"""Install one uploaded SKILL.md under the managed imported-skills directory."""
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meta = parse_skill(content)
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slug = skill_slug(meta)
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root = (base_dir / "skills").resolve()
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target = (root / "imported" / slug / "SKILL.md").resolve()
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if not target.is_relative_to(root):
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raise ValueError("Skill 目录不在允许范围内")
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if target.exists():
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raise FileExistsError("同名 Skill 已存在，请先归档旧版本或修改 name")
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target.parent.mkdir(parents=True, exist_ok=False)
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temporary = target.with_suffix(".tmp")
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temporary.write_text(content, encoding="utf-8")
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temporary.replace(target)
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legacy_id = target.relative_to(root).as_posix()
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return {"id": legacy_id, "legacy_id": legacy_id, "name": meta["name"], "description": meta["description"], "meta": skill_attributes(meta)}
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def discover_skills(base_dir: Path) -> list[dict]:
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"""Read the native Skills catalog without changing its generated snapshot."""
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root = (base_dir / "skills").resolve()
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entries = []
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for file in sorted(root.rglob("SKILL.md")):
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resolved = file.resolve()
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if not resolved.is_relative_to(root):
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continue
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try:
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content = file.read_text(encoding="utf-8")
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meta = parse_skill(content)
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attributes = skill_attributes(meta)
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if str(attributes.get("status", "published")) == "archived":
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continue
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legacy_id = file.relative_to(root).as_posix()
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entries.append({
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"id": legacy_id,
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"component_id": str(attributes.get("id", legacy_id)),
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"legacy_id": legacy_id,
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"kind": str(attributes.get("kind", "skill")),
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"version": str(attributes.get("version", "legacy")),
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"schema_version": int(attributes.get("schema_version", 1)),
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"status": str(attributes.get("status", "published")),
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"name": str(meta.get("name", file.parent.name)),
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"description": str(meta.get("description", "")),
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"content_hash": sha256(content.encode("utf-8")).hexdigest(),
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"content": content,
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})
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except (OSError, ValueError, TypeError, yaml.YAMLError):
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continue
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return entries
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def scan_skills(base_dir: Path) -> str:
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"""Scan all SKILL.md files and generate SKILLS_SNAPSHOT.md."""
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skills_dir = base_dir / "skills"
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snapshot_path = base_dir / "SKILLS_SNAPSHOT.md"
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if not skills_dir.exists():
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skills_dir.mkdir(parents=True)
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skills = [{**s, "location":f"./backend/skills/{s['legacy_id']}"} for s in discover_skills(base_dir)]
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# Build XML-style snapshot
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lines = ["<available_skills>"]
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for s in skills:
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lines.append(" <skill>")
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lines.append(f" <name>{s['name']}</name>")
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lines.append(f" <description>{s['description']}</description>")
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lines.append(f" <location>{s['location']}</location>")
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lines.append(" </skill>")
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lines.append("</available_skills>")
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snapshot = "\n".join(lines)
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snapshot_path.write_text(snapshot, encoding="utf-8")
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print(f"📋 Skills snapshot: {len(skills)} skills found")
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return snapshot
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