#!/usr/bin/env python3 """COMMUNITY.md 收录PR的半自动检查。 机器检查(本脚本): 1. PR只改动 COMMUNITY.md(动了SKILL.md等核心文件直接判❌) 2. 新增行里的GitHub仓库真实存在且公开 3. 若目标仓库含SKILL.md(人物/主题skill类)→ 额外要求: - FIDELITY.md 存在且总分≥70(B级) - FIDELITY.md 关键字段行(测试日期/总分/各维评分)不得为占位或预估 (待跑、预估、TBD、YYYY-MM-DD等——分数须为独立双agent实测结果; 只扫字段行不扫全文,诚实边界等正文表述不会触发) - SKILL.md 含「诚实边界」章节 - 有 references/ 目录;references/research/ 子目录缺失仅记⚠️请人工确认 若不含SKILL.md(合集/工具类)→ 仅存在性检查,标注请人工确认类别 4. 结果贴成PR评论 人工检查(维护者):伦理红线 + 内容质量抽查 + 合并。 本地测试:python3 community_check.py --check-repo owner/repo """ import json import os import re import sys import urllib.request API = "https://api.github.com" # FIDELITY.md 占位/预估检测:结构化字段扫描,命中即判❌。 # 依据:保真度分数必须来自独立双agent实测(见 references/fidelity-scorecard.md), # 「预填模板+补一行总分」不算跑过测试(先例:PR #70)。 # 设计约束(2026-07-26对抗审查 P1-22/P1-23): # 1. 只扫「关键字段行」(测试日期/总分/各维评分等),绝不全文搜词—— # 「诚实边界:xx未实测」是项目自己要求写的内容,不能被判成造假; # 2. 否定语境免疫:「不是自评分」「NOT a self-assessment」不算命中; # 3. 英文词绑定分数上下文(estimated score),不拦 "Estimated reading time"。 # 宁可漏判交给人工,也不让守规矩的投稿被机器误拒。 # 关键字段行:行首(允许 >、#、*、-、| 等markdown前缀)出现「字段名 + 冒号/表格分隔符」。 # 「评分日期格式统一为YYYY-MM-DD」这类叙述句因字段名后无分隔符,不会被当成字段行。 FIDELITY_KEY_FIELD_RE = re.compile( r"^[\s>#*\-|]*(?:测试日期|评分日期|测试时间|测试模型|总分|综合得分|最终得分|得分|评分" r"|维度\s*\d+|立场一致性|风格辨识度|边缘诚实度|来源透明度|结构完整度" r"|total(?:\s+score)?|overall(?:\s+score)?|final\s+score|test\s+date|score|date)" r"[\s*]*[::|]", re.IGNORECASE, ) # 占位/预估标记(仅在关键字段行内查找) FIDELITY_PLACEHOLDER_PATTERNS = [ (r"预估", "预估"), (r"待跑", "待跑"), (r"待测", "待测"), (r"待补", "待补"), (r"待定", "待定"), (r"待填", "待填"), (r"占位", "占位"), (r"未实测", "未实测"), (r"未测试", "未测试"), (r"自评分", "自评分"), # 区别于论文引用里的「自评准确率」,裸「自评」不收 (r"YYYY[-/年]?\s*MM", "YYYY-MM-DD(模板日期没填)"), (r"\bTBD\b", "TBD"), (r"\bTODO\b", "TODO"), (r"self[- ]assess\w*", "self-assessed"), (r"\bestimated\s+(?:score|total|rating|grade)", "estimated score"), (r"\bplaceholder\b", "placeholder"), (r"\bNN\s*/\s*\d+", "NN/100(模板分数没填)"), ] # 否定语境:命中词紧邻的前文若是否定表达,视为主动澄清而非占位 FIDELITY_NEGATION_RE = re.compile( r"(?:不是|并非|绝不|从不|不算|不做|没有|不存在|未使用|无" r"|not(?:\s+an?)?|isn'?t(?:\s+an?)?|never|no)[\s*'\"「」((]*$", re.IGNORECASE, ) def find_fidelity_red_flags(text): """结构化字段扫描FIDELITY.md:只检查关键字段行是否为占位/预估。 返回命中标记列表(去重、保持顺序)。非字段行(诚实边界、局限说明等正文)不扫描。 """ hits = [] for line in text.splitlines(): if not FIDELITY_KEY_FIELD_RE.match(line): continue for pat, label in FIDELITY_PLACEHOLDER_PATTERNS: for m in re.finditer(pat, line, re.IGNORECASE): prefix = line[max(0, m.start() - 16):m.start()] if FIDELITY_NEGATION_RE.search(prefix): continue # 否定语境(「不是自评分」「NOT a self-assessment」) hits.append(label) break return list(dict.fromkeys(hits)) def gh(path, token, raw=False): req = urllib.request.Request(API + path) if token: req.add_header("Authorization", f"Bearer {token}") if raw: req.add_header("Accept", "application/vnd.github.raw+json") try: with urllib.request.urlopen(req, timeout=15) as r: data = r.read().decode("utf-8", "replace") return data if raw else json.loads(data) except Exception: return None def check_target_repo(slug, token): """检查被收录的仓库,返回 (是否通过, 检查项列表)。""" items = [] repo = gh(f"/repos/{slug}", token) if not repo: return False, [("❌", f"`{slug}` 仓库不存在或不可访问")] items.append(("✅", f"[`{slug}`](https://github.com/{slug}) 存在(★{repo.get('stargazers_count', 0)})")) skill_md = gh(f"/repos/{slug}/contents/SKILL.md", token, raw=True) if skill_md is None: items.append(("ℹ️", "无根目录SKILL.md → 按「合集/工具类」处理,请人工确认类别与内容")) return True, items items.append(("✅", "含 SKILL.md(按skill类审核)")) if "诚实边界" in skill_md or "Honest" in skill_md or "honest-limits" in skill_md.lower(): items.append(("✅", "SKILL.md 含诚实边界章节")) else: items.append(("❌", "SKILL.md 缺「诚实边界」章节(收录门槛之一)")) refs = gh(f"/repos/{slug}/contents/references", token) if isinstance(refs, list) and refs: items.append(("✅", "含 references/ 目录")) research = gh(f"/repos/{slug}/contents/references/research", token) if isinstance(research, list) and research: items.append(("✅", "含 references/research/ 调研底稿目录")) else: items.append(("⚠️", "未见 references/research/ 子目录(CONTRIBUTING期望的调研底稿结构)。" "若调研底稿直接放在 references/ 下,请维护者人工确认可溯源性即可,不作硬性拦截")) else: items.append(("❌", "缺 references/ 调研底稿(skill需自包含可溯源)")) fidelity = gh(f"/repos/{slug}/contents/FIDELITY.md", token, raw=True) if fidelity is None: items.append(("❌", "缺 FIDELITY.md 保真度评分卡(见 references/fidelity-scorecard.md)")) else: m = re.search(r"总分[::]\s*(\d+)\s*/\s*100", fidelity) if not m: items.append(("❌", "FIDELITY.md 存在但未解析到「总分:NN/100」")) elif int(m.group(1)) >= 70: items.append(("✅", f"保真度 {m.group(1)}/100 ≥ 70(B级门槛)")) else: items.append(("❌", f"保真度 {m.group(1)}/100 未达B级门槛(70)")) red_flags = find_fidelity_red_flags(fidelity) if red_flags: items.append(("❌", "FIDELITY.md 关键字段(测试日期/总分/评分)检出占位或预估:`" + "`、`".join(red_flags[:8]) + ("`" if len(red_flags) <= 8 else f"`…等{len(red_flags)}项") + "。保真度分数须由独立双agent实测产生(方法见 references/fidelity-scorecard.md)," "预填模板或自评预估分不满足收录门槛,请实测后更新评分卡")) else: items.append(("✅", "FIDELITY.md 关键字段未检出占位/预估")) ok = all(mark != "❌" for mark, _ in items) return ok, items def main(): if len(sys.argv) == 3 and sys.argv[1] == "--check-repo": ok, items = check_target_repo(sys.argv[2], os.environ.get("GITHUB_TOKEN", "")) for mark, text in items: print(mark, text) sys.exit(0 if ok else 1) token = os.environ["GITHUB_TOKEN"] repo = os.environ["GITHUB_REPOSITORY"] pr = os.environ["PR_NUMBER"] files = gh(f"/repos/{repo}/pulls/{pr}/files?per_page=100", token) or [] names = [f["filename"] for f in files] lines = ["## 🤖 社区收录检查\n"] all_ok = True core_touched = [n for n in names if n != "COMMUNITY.md"] if core_touched: all_ok = False lines.append(f"❌ PR改动了 COMMUNITY.md 以外的文件:`{'`, `'.join(core_touched[:10])}`") if any(n == "SKILL.md" for n in core_touched): lines.append("  ⚠️ SKILL.md 是核心资产,不接受外部PR改动(见 CONTRIBUTING.md),请从PR中移除") else: lines.append("✅ 只改动 COMMUNITY.md") added = [] for f in files: if f["filename"] == "COMMUNITY.md": for ln in (f.get("patch") or "").splitlines(): if ln.startswith("+") and not ln.startswith("+++"): added += re.findall(r"github\.com/([\w.-]+/[\w.-]+)", ln) added = list(dict.fromkeys(s.rstrip(")/") for s in added)) if not added: all_ok = False lines.append("❌ 未在新增行中检测到GitHub仓库链接") for slug in added[:5]: ok, items = check_target_repo(slug, token) all_ok = all_ok and ok lines.append(f"\n**{slug}**") lines += [f"- {mark} {text}" for mark, text in items] lines.append("\n---") lines.append(("✅ **机器检查通过**。" if all_ok else "❌ **机器检查未通过**,请按上述项修改后推送更新(会自动重跑)。")) lines.append("最终合并前维护者还会人工确认:伦理红线(CONTRIBUTING.md)+ 内容质量抽查。") body = "\n".join(lines) req = urllib.request.Request( f"{API}/repos/{repo}/issues/{pr}/comments", data=json.dumps({"body": body}).encode(), headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"}, method="POST", ) urllib.request.urlopen(req, timeout=15) sys.exit(0 if all_ok else 1) if __name__ == "__main__": main()