#!/usr/bin/env python3 """ s07: 技能加载 — 两级按需知识注入。 第 1 层(便宜,始终存在): SYSTEM 提示词包含技能名称 + 单行描述(每个技能约 100 tokens) "可用技能: agent-builder, code-review, mcp-builder, pdf" 第 2 层(昂贵,按需加载): Agent 调用 load_skill("code-review") → 完整 SKILL.md 内容 通过 tool_result 注入(每个技能约 2000 tokens) skills/ agent-builder/SKILL.md code-review/SKILL.md mcp-builder/SKILL.md pdf/SKILL.md 相对 s06 的变化: + build_system() — 启动时扫描 skills/ 目录,把目录注入 SYSTEM + load_skill(name) — 通过 tool_result 返回完整 SKILL.md 内容 + SKILLS_DIR 配置 循环不变:load_skill 通过 TOOL_HANDLERS 自动分发。 运行: python s07_skill_loading/code.py 需要: pip install anthropic python-dotenv pyyaml + .env 中配置 ANTHROPIC_API_KEY """ import ast, json, os, subprocess from pathlib import Path import yaml try: import readline readline.parse_and_bind('set bind-tty-special-chars off') except ImportError: pass from anthropic import Anthropic from dotenv import load_dotenv load_dotenv(override=True) if os.getenv("ANTHROPIC_BASE_URL"): os.environ.pop("ANTHROPIC_AUTH_TOKEN", None) WORKDIR = Path.cwd() SKILLS_DIR = WORKDIR / "skills" client = Anthropic(base_url=os.getenv("ANTHROPIC_BASE_URL")) MODEL = os.environ["MODEL_ID"] CURRENT_TODOS: list[dict] = [] # s07: 技能目录扫描 (供下方 build_system 使用) def _parse_frontmatter(text: str) -> tuple[dict, str]: """Parse YAML frontmatter from SKILL.md. Returns (meta, body).""" if not text.startswith("---"): return {}, text parts = text.split("---", 2) if len(parts) < 3: return {}, text try: meta = yaml.safe_load(parts[1]) or {} except yaml.YAMLError: meta = {} return meta, parts[2].strip() # 启动时构建技能注册表 (用于在 load_skill 中安全查找) SKILL_REGISTRY: dict[str, dict] = {} def _scan_skills(): """Scan skills/ dir, populate SKILL_REGISTRY with name/description/content.""" if not SKILLS_DIR.exists(): return for d in sorted(SKILLS_DIR.iterdir()): if not d.is_dir(): continue manifest = d / "SKILL.md" if manifest.exists(): raw = manifest.read_text() meta, body = _parse_frontmatter(raw) name = meta.get("name", d.name) desc = meta.get("description", raw.split("\n")[0].lstrip("#").strip()) SKILL_REGISTRY[name] = {"name": name, "description": desc, "content": raw} _scan_skills() def list_skills() -> str: """List all skills (name + one-line description).""" if not SKILL_REGISTRY: return "(未找到技能)" return "\n".join(f"- **{s['name']}**: {s['description']}" for s in SKILL_REGISTRY.values()) # s07: SYSTEM 包含技能目录 (成本低 — 只有名称和描述) def build_system() -> str: """Build SYSTEM prompt with skill catalog injected at startup.""" catalog = list_skills() return ( f"你是位于 {WORKDIR}. " f"可用技能:\n{catalog}\n" "需要时使用 load_skill 获取完整详情。" ) SYSTEM = build_system() # s07: 子 Agent 使用自己的系统提示词 — 不加载技能,也没有 task SUB_SYSTEM = ( f"你是位于 {WORKDIR}. " "完成交给你的任务,然后返回简洁摘要。" "不要继续委派。" ) # ═══════════════════════════════════════════════════════════ # 来自 s02-s06 (未改动): 工具实现 # ═══════════════════════════════════════════════════════════ def safe_path(p: str) -> Path: path = (WORKDIR / p).resolve() if not path.is_relative_to(WORKDIR): raise ValueError(f"路径逃逸出工作区:{p}") return path def run_bash(command: str) -> str: try: r = subprocess.run(command, shell=True, cwd=WORKDIR, capture_output=True, text=True, timeout=120) out = (r.stdout + r.stderr).strip() return out[:50000] if out else "(无输出)" except subprocess.TimeoutExpired: return "错误:执行超时(120 秒)" def run_read(path: str, limit: int | None = None) -> str: try: lines = safe_path(path).read_text().splitlines() if limit and limit < len(lines): lines = lines[:limit] + [f"... ({len(lines) - limit} 行更多内容)"] return "\n".join(lines) except Exception as e: return f"错误:{e}" def run_write(path: str, content: str) -> str: try: file_path = safe_path(path) file_path.parent.mkdir(parents=True, exist_ok=True) file_path.write_text(content) return f"已写入 {len(content)} 字节到 {path}" except Exception as e: return f"错误:{e}" def run_edit(path: str, old_text: str, new_text: str) -> str: try: file_path = safe_path(path) text = file_path.read_text() if old_text not in text: return f"错误:在文件中未找到目标文本:{path}" file_path.write_text(text.replace(old_text, new_text, 1)) return f"已编辑 {path}" except Exception as e: return f"错误:{e}" def run_glob(pattern: str) -> str: import glob as g try: results = [] for match in g.glob(pattern, root_dir=WORKDIR): if (WORKDIR / match).resolve().is_relative_to(WORKDIR): results.append(match) return "\n".join(results) if results else "(无匹配)" except Exception as e: return f"错误:{e}" def _normalize_todos(todos): if isinstance(todos, str): try: 个待办 = json.loads(todos) except json.JSONDecodeError: try: 个待办 = ast.literal_eval(todos) except (SyntaxError, ValueError): return None, "错误:todos 必须是列表或 JSON 数组字符串" if not isinstance(todos, list): return None, "错误:todos 必须是列表" for i, t in enumerate(todos): if not isinstance(t, dict): return None, f"错误:todos[{i}] 必须是对象" if "content" not in t or "status" not in t: return None, f"错误:todos[{i}] 缺少 'content' 或 'status'" if t["status"] not in ("pending", "in_progress", "completed"): return None, f"错误:todos[{i}] 包含无效状态 '{t['status']}'" return 个待办, None def run_todo_write(todos: list) -> str: global CURRENT_TODOS 个待办, error = _normalize_todos(todos) if error: return error CURRENT_TODOS = 个待办 lines = ["\n\033[33m## 当前任务\033[0m"] for t in CURRENT_TODOS: icon = {"pending": " ", "in_progress": "\033[36m▸\033[0m", "completed": "\033[32m✓\033[0m"}[t["status"]] lines.append(f" [{icon}] {t['content']}") print("\n".join(lines)) return f"已更新 {len(CURRENT_TODOS)} 个任务" def extract_text(content) -> str: if not isinstance(content, list): return str(content) return "\n".join(getattr(b, "text", "") for b in content if getattr(b, "type", None) == "text") # ═══════════════════════════════════════════════════════════ # 来自 s06 (未改动): 子 Agent # ═══════════════════════════════════════════════════════════ SUB_TOOLS = [ {"name": "bash", "description": "运行一条 shell 命令。", "input_schema": {"type": "object", "properties": {"command": {"type": "string"}}, "required": ["command"]}}, {"name": "read_file", "description": "读取文件内容。", "input_schema": {"type": "object", "properties": {"path": {"type": "string"}}, "required": ["path"]}}, {"name": "write_file", "description": "向文件写入内容。", "input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "content": {"type": "string"}}, "required": ["path", "content"]}}, {"name": "edit_file", "description": "在文件中替换一次完全匹配的文本。", "input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "old_text": {"type": "string"}, "new_text": {"type": "string"}}, "required": ["path", "old_text", "new_text"]}}, {"name": "glob", "description": "查找匹配 glob 模式的文件。", "input_schema": {"type": "object", "properties": {"pattern": {"type": "string"}}, "required": ["pattern"]}}, ] SUB_HANDLERS = {"bash": run_bash, "read_file": run_read, "write_file": run_write, "edit_file": run_edit, "glob": run_glob} def spawn_subagent(description: str) -> str: print(f"\n\033[35m[子 Agent 已启动]\033[0m") messages = [{"role": "user", "content": description}] for _ in range(30): response = client.messages.create(model=MODEL, system=SUB_SYSTEM, messages=messages, tools=SUB_TOOLS, max_tokens=8000) messages.append({"role": "assistant", "content": response.content}) if response.stop_reason != "tool_use": break results = [] for block in response.content: if block.type == "tool_use": blocked = trigger_hooks("PreToolUse", block) if blocked: results.append({"type": "tool_result", "tool_use_id": block.id, "content": str(blocked)}) continue handler = SUB_HANDLERS.get(block.name) output = handler(**block.input) if handler else f"未知工具:{block.name}" trigger_hooks("PostToolUse", block, output) print(f" \033[90m[sub] {block.name}: {str(output)[:100]}\033[0m") results.append({"type": "tool_result", "tool_use_id": block.id, "content": output}) messages.append({"role": "user", "content": results}) result = extract_text(messages[-1]["content"]) if not result: for msg in reversed(messages): if msg["role"] == "assistant": result = extract_text(msg["content"]) if result: break if not result: result = "子 Agent stopped 等待 30 turns without final answer." print(f"\033[35m[子 Agent 已完成]\033[0m") return result # ═══════════════════════════════════════════════════════════ # 新增于 s07: load_skill — 运行时加载完整内容 # ═══════════════════════════════════════════════════════════ def load_skill(name: str) -> str: """Load full skill content. Lookup via registry — no path traversal.""" skill = SKILL_REGISTRY.get(name) if not skill: return f"未找到技能:{name}" return skill["content"] # ═══════════════════════════════════════════════════════════ # 工具注册表 — 来自 s02-s07 的全部工具 # ═══════════════════════════════════════════════════════════ TOOLS = [ {"name": "bash", "description": "运行一条 shell 命令。", "input_schema": {"type": "object", "properties": {"command": {"type": "string"}}, "required": ["command"]}}, {"name": "read_file", "description": "读取文件内容。", "input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "limit": {"type": "integer"}}, "required": ["path"]}}, {"name": "write_file", "description": "向文件写入内容。", "input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "content": {"type": "string"}}, "required": ["path", "content"]}}, {"name": "edit_file", "description": "在文件中替换一次完全匹配的文本。", "input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "old_text": {"type": "string"}, "new_text": {"type": "string"}}, "required": ["path", "old_text", "new_text"]}}, {"name": "glob", "description": "查找匹配 glob 模式的文件。", "input_schema": {"type": "object", "properties": {"pattern": {"type": "string"}}, "required": ["pattern"]}}, {"name": "todo_write", "description": "为当前编码会话创建并维护任务清单。", "input_schema": {"type": "object", "properties": {"todos": {"type": "array", "items": {"type": "object", "properties": {"content": {"type": "string"}, "status": {"type": "string", "enum": ["pending", "in_progress", "completed"]}}, "required": ["content", "status"]}}}, "required": ["todos"]}}, {"name": "task", "description": "启动一个子 Agent 处理复杂子任务。只返回最终结论。", "input_schema": {"type": "object", "properties": {"description": {"type": "string"}}, "required": ["description"]}}, # s07: 技能工具 (目录已在 SYSTEM 提示词中,此处加载完整内容) {"name": "load_skill", "description": "按名称加载某个技能的完整内容。", "input_schema": {"type": "object", "properties": {"name": {"type": "string"}}, "required": ["name"]}}, ] TOOL_HANDLERS = { "bash": run_bash, "read_file": run_read, "write_file": run_write, "edit_file": run_edit, "glob": run_glob, "todo_write": run_todo_write, "task": spawn_subagent, "load_skill": load_skill, } # ═══════════════════════════════════════════════════════════ # 来自 s04 (未改动): Hook 系统 # ═══════════════════════════════════════════════════════════ HOOKS = {"UserPromptSubmit": [], "PreToolUse": [], "PostToolUse": [], "Stop": []} def register_hook(event: str, callback): HOOKS[event].append(callback) def trigger_hooks(event: str, *args): for callback in HOOKS[event]: result = callback(*args) if result is not None: return result return None DENY_LIST = ["rm -rf /", "sudo", "shutdown", "reboot", "mkfs", "dd if="] def permission_hook(block): if block.name == "bash": for p in DENY_LIST: if p in block.input.get("command", ""): print(f"\n\033[31m⛔ 已拦截:'{p}'\033[0m") return "权限被拒绝" return None def log_hook(block): print(f"\033[90m[HOOK] {block.name}\033[0m") return None def context_inject_hook(query: str): print(f"\033[90m[HOOK] UserPromptSubmit: 工作目录:{WORKDIR}\033[0m") return None def summary_hook(messages: list): tool_count = sum(1 for m in messages for b in (m.get("content") if isinstance(m.get("content"), list) else []) if isinstance(b, dict) and b.get("type") == "tool_result") print(f"\033[90m[HOOK] Stop:会话使用了 {tool_count} 次工具调用\033[0m") return None register_hook("UserPromptSubmit", context_inject_hook) register_hook("PreToolUse", permission_hook) register_hook("PreToolUse", log_hook) register_hook("Stop", summary_hook) # ═══════════════════════════════════════════════════════════ # agent_loop — 与以下相同: s05-s06 + 催办提醒 # ═══════════════════════════════════════════════════════════ def agent_loop(messages: list): rounds_since_todo = 0 while True: if rounds_since_todo >= 3 and messages: messages.append({"role": "user", "content": "请更新你的待办事项。"}) rounds_since_todo = 0 response = client.messages.create( model=MODEL, system=SYSTEM, messages=messages, tools=TOOLS, max_tokens=8000, ) messages.append({"role": "assistant", "content": response.content}) if response.stop_reason != "tool_use": force = trigger_hooks("Stop", messages) if force: messages.append({"role": "user", "content": force}) continue return rounds_since_todo += 1 results = [] for block in response.content: if block.type != "tool_use": continue blocked = trigger_hooks("PreToolUse", block) if blocked: results.append({"type": "tool_result", "tool_use_id": block.id, "content": str(blocked)}) continue handler = TOOL_HANDLERS.get(block.name) output = handler(**block.input) if handler else f"未知工具:{block.name}" trigger_hooks("PostToolUse", block, output) if block.name == "todo_write": rounds_since_todo = 0 results.append({"type": "tool_result", "tool_use_id": block.id, "content": output}) messages.append({"role": "user", "content": results}) if __name__ == "__main__": print("s07: 技能加载 — 目录进 SYSTEM,内容按需加载") print("输入问题后按回车。输入 q 退出。\n") history = [] while True: try: query = input("\033[36ms07 >> \033[0m") except (EOFError, KeyboardInterrupt): break if query.strip().lower() in ("q", "exit", ""): break trigger_hooks("UserPromptSubmit", query) history.append({"role": "user", "content": query}) agent_loop(history) for block in history[-1]["content"]: if getattr(block, "type", None) == "text": print(block.text) print()