#!/usr/bin/env python3 import argparse import html import json import os from pathlib import Path from typing import Any try: import yaml except ImportError: # pragma: no cover yaml = None from review_studio_formatting import registry_package_summary, render_kv_grid from review_studio_gates import add_blockers_from_gate, build_gates, status_label, weighted_score from review_studio_layout import render_review_nav, review_studio_css ROOT = Path(__file__).resolve().parent.parent def load_json(path: Path) -> dict[str, Any]: if not path.exists(): return {} try: payload = json.loads(path.read_text(encoding="utf-8")) except json.JSONDecodeError: return {} return payload if isinstance(payload, dict) else {} def load_yaml(path: Path) -> dict[str, Any]: if not path.exists() or yaml is None: return {} payload = yaml.safe_load(path.read_text(encoding="utf-8")) or {} return payload if isinstance(payload, dict) else {} def parse_frontmatter(path: Path) -> dict[str, Any]: if not path.exists(): return {} lines = path.read_text(encoding="utf-8", errors="replace").splitlines() if not lines or lines[0].strip() != "---": return {} try: end_index = lines[1:].index("---") + 1 except ValueError: return {} text = "\n".join(lines[1:end_index]) if yaml is not None: payload = yaml.safe_load(text) or {} return payload if isinstance(payload, dict) else {} data = {} for line in text.splitlines(): if ":" in line: key, value = line.split(":", 1) data[key.strip()] = value.strip().strip('"') return data def display_path(skill_dir: Path, path: Path) -> str: try: return str(path.resolve().relative_to(skill_dir.resolve())) except ValueError: try: return str(path.resolve().relative_to(ROOT.resolve())) except ValueError: return str(path.resolve()) def link_from(output_html: Path, target: Path) -> str: return os.path.relpath(target.resolve(), output_html.parent.resolve()) def find_line(path: Path, patterns: list[str] | None = None) -> int | None: if not path.exists(): return None if not patterns: return 1 try: lines = path.read_text(encoding="utf-8", errors="replace").splitlines() except OSError: return 1 for pattern in patterns: for index, line in enumerate(lines, start=1): if pattern in line: return index return 1 def source_refs( skill_dir: Path, output_html: Path, specs: list[dict[str, Any]], ) -> list[dict[str, Any]]: refs: list[dict[str, Any]] = [] for spec in specs: rel_path = str(spec.get("path", "")).strip() if not rel_path: continue path = skill_dir / rel_path exists = path.exists() line = find_line(path, spec.get("patterns", [])) refs.append( { "path": rel_path, "label": str(spec.get("label", rel_path)), "kind": str(spec.get("kind", "source")), "line": line, "exists": exists, "link": link_from(output_html, path) if exists else "", } ) return refs def evidence_paths(skill_dir: Path) -> dict[str, str]: rels = { "skill_overview": "reports/skill-overview.html", "review_viewer": "reports/review-viewer.html", "output_eval": "reports/output_quality_scorecard.md", "output_execution": "reports/output_execution_runs.md", "output_blind_review": "reports/output_blind_review_pack.md", "output_review_decisions": "reports/output_review_decisions.json", "output_review_adjudication": "reports/output_review_adjudication.md", "runtime_conformance": "reports/conformance_matrix.md", "trust_report": "reports/security_trust_report.md", "permission_policy": "security/permission_policy.md", "runtime_permissions": "reports/runtime_permission_probes.md", "skill_atlas": "reports/skill_atlas.html", "compiled_targets": "reports/compiled_targets.md", "adoption_drift": "reports/adoption_drift_report.md", "review_waivers": "reports/review_waivers.md", "review_annotations": "reports/review_annotations.md", "registry_audit": "reports/registry_audit.md", "package_verification": "reports/package_verification.md", "install_simulation": "reports/install_simulation.md", "upgrade_check": "reports/upgrade_check.md", "migration": "docs/migration-v2.md", "skill_ir": "reports/skill-ir.json", } return {key: rel for key, rel in rels.items() if (skill_dir / rel).exists() or (ROOT / rel).exists()} def load_review_data(skill_dir: Path) -> dict[str, dict[str, Any]]: reports = skill_dir / "reports" return { "overview": load_json(reports / "skill-overview.json"), "intent_confidence": load_json(reports / "intent-confidence.json"), "intent_dialogue": load_json(reports / "intent-dialogue.json"), "route_scorecard": load_json(reports / "route_scorecard.json"), "output_quality": load_json(reports / "output_quality_scorecard.json"), "output_execution": load_json(reports / "output_execution_runs.json"), "output_blind_review": load_json(reports / "output_blind_review_pack.json"), "output_review_adjudication": load_json(reports / "output_review_adjudication.json"), "compiled_targets": load_json(reports / "compiled_targets.json"), "conformance": load_json(reports / "conformance_matrix.json"), "runtime_permissions": load_json(reports / "runtime_permission_probes.json"), "trust": load_json(reports / "security_trust_report.json"), "context_budget": load_json(reports / "context_budget.json"), "promotion": load_json(reports / "promotion_decisions.json"), "atlas": load_json(reports / "skill_atlas.json"), "adoption_drift": load_json(reports / "adoption_drift_report.json"), "review_waivers": load_json(reports / "review_waivers.json"), "review_annotations": load_json(reports / "review_annotations.json"), "registry": load_json(reports / "registry_audit.json"), "package_verification": load_json(reports / "package_verification.json"), "install_simulation": load_json(reports / "install_simulation.json"), "upgrade_check": load_json(reports / "upgrade_check.json"), "manifest": load_json(skill_dir / "manifest.json"), "frontmatter": parse_frontmatter(skill_dir / "SKILL.md"), "interface": load_yaml(skill_dir / "agents" / "interface.yaml"), } def insight_cards(data: dict[str, dict[str, Any]]) -> list[dict[str, str]]: overview = data["overview"] output = data["output_quality"].get("summary", {}) output_execution = data["output_execution"].get("summary", {}) output_blind = data["output_blind_review"].get("summary", {}) output_review = data["output_review_adjudication"].get("summary", {}) compiled = data["compiled_targets"].get("summary", {}) conformance = data["conformance"].get("summary", {}) runtime_permissions = data["runtime_permissions"].get("summary", {}) trust = data["trust"].get("summary", {}) atlas = data["atlas"].get("summary", {}) adoption = data["adoption_drift"].get("summary", {}) waivers = data["review_waivers"].get("summary", {}) annotations = data["review_annotations"].get("summary", {}) registry = data["registry"].get("package", {}) package_verification = data["package_verification"].get("summary", {}) install_simulation = data["install_simulation"].get("summary", {}) upgrade = data["upgrade_check"].get("summary", {}) cards = [ { "label": "Skill IR", "value": str(overview.get("skill_ir", {}).get("schema_version", "missing")), "detail": f"{overview.get('skill_ir', {}).get('target_count', 0)} targets in platform-neutral contract", }, { "label": "Compiler", "value": f"{compiled.get('pass_count', 0)}/{compiled.get('target_count', 0)}", "detail": "target contracts compiled from Skill IR", }, { "label": "Output Delta", "value": str(output.get("delta", "n/a")), "detail": f"{output.get('case_count', 0)} cases; {output.get('file_backed_case_count', 0)} file-backed", }, { "label": "Exec Runs", "value": str(output_execution.get("variant_run_count", 0)), "detail": ( f"command {output_execution.get('command_executed_count', 0)}; " f"model {output_execution.get('model_executed_count', 0)}; " f"recorded {output_execution.get('recorded_fixture_count', 0)}" ), }, { "label": "Blind A/B", "value": str(output_blind.get("pair_count", 0)), "detail": "review pairs hide baseline vs with-skill labels", }, { "label": "Review A/B", "value": f"{output_review.get('judgment_count', 0)}/{output_review.get('pair_count', 0)}", "detail": f"adjudication decisions; pending {output_review.get('pending_count', 0)}", }, { "label": "Runtime", "value": f"{conformance.get('pass_count', 0)}/{conformance.get('target_count', 0)}", "detail": "target conformance pass rate", }, { "label": "Perm Probe", "value": f"{runtime_permissions.get('metadata_fallback_count', 0)}/{runtime_permissions.get('target_count', 0)}", "detail": f"{runtime_permissions.get('native_enforcement_count', 0)} native enforcement targets", }, { "label": "Trust", "value": str(trust.get("secret_findings", 0)), "detail": f"{trust.get('script_count', 0)} scripts scanned; secrets found", }, { "label": "Atlas", "value": str(atlas.get("route_collision_count", 0)), "detail": f"{atlas.get('skill_count', 0)} scanned skills; route collisions", }, { "label": "Drift", "value": str(adoption.get("risk_band", "n/a")), "detail": f"{adoption.get('event_count', 0)} metadata events; {adoption.get('missed_trigger_count', 0)} missed triggers", }, { "label": "Waivers", "value": str(waivers.get("active_count", 0)), "detail": f"{waivers.get('covered_gate_count', 0)} gates covered; human risk decisions", }, { "label": "Notes", "value": f"{annotations.get('open_count', 0)}/{annotations.get('annotation_count', 0)}", "detail": f"{annotations.get('open_blocker_count', 0)} open blocker annotations", }, { "label": "Registry", "value": str(registry.get("version", "n/a")), "detail": f"{len(registry.get('targets', []))} targets; {registry.get('license', 'no license')} license", }, { "label": "Archive", "value": "pass" if data["package_verification"].get("ok") else "n/a", "detail": f"{package_verification.get('archive_entry_count', 0)} zip entries; package verification", }, { "label": "Install", "value": "pass" if data["install_simulation"].get("ok") else "n/a", "detail": ( f"{install_simulation.get('adapter_count', 0)} adapters; " f"{install_simulation.get('installer_permission_enforced_count', 0)} permissions enforced; " f"{install_simulation.get('installer_permission_failure_count', 0)} permission failures" ), }, { "label": "Upgrade", "value": str(upgrade.get("recommended_bump", "n/a")), "detail": f"declared {upgrade.get('declared_bump', 'n/a')}; {upgrade.get('breaking_change_count', 0)} breaking changes", }, ] return cards def render_gate_list(gates: list[dict[str, str]]) -> str: items = [] for item in gates: link_html = f"证据" if item.get("link") else "" items.append( "
" f"
{html.escape(status_label(item['status']))}

{html.escape(item['label'])}

" f"

{html.escape(item['detail'])}

" f"" "
" ) return "".join(items) def render_insights(cards: list[dict[str, str]]) -> str: return "".join( ( "
" f"{html.escape(item['label'])}" f"{html.escape(item['value'])}" f"

{html.escape(item['detail'])}

" "
" ) for item in cards ) def render_issue_list(title: str, items: list[dict[str, str]]) -> str: if not items: return f"

{html.escape(title)}

无。

" body = "".join( ( "
  • " f"{html.escape(item['label'])}" f"{html.escape(item['detail'])}" "
  • " ) for item in items ) return f"

    {html.escape(title)}

    " ACTION_GUIDANCE: dict[str, dict[str, str]] = { "intent-canvas": { "summary": "收紧真实任务、输入、输出、排除项和成功标准。", "why": "低 intent confidence 会让后续 Skill IR、输出评测和 Review Studio 结论建立在模糊意图上。", "source_fix": "reports/intent-dialogue.md + reports/intent-confidence.md", "source_paths": [ {"path": "reports/intent-dialogue.md", "label": "intent dialogue", "kind": "report", "patterns": ["# Intent"]}, {"path": "reports/intent-confidence.md", "label": "intent confidence", "kind": "report", "patterns": ["# Intent"]}, ], "verification": "python3 scripts/yao.py intent-confidence .", }, "trigger-lab": { "summary": "修正 route scorecard 中的误触发、漏触发或 ambiguous case。", "why": "触发错误会让正确 Skill 失活,或让相邻 Skill 被错误调用。", "source_fix": "SKILL.md frontmatter description + evals/*/trigger_cases.json", "source_paths": [ {"path": "SKILL.md", "label": "frontmatter description", "kind": "source", "patterns": ["description:"]}, {"path": "evals/trigger_cases.json", "label": "trigger eval cases", "kind": "eval", "patterns": ["should_trigger"]}, {"path": "reports/route_scorecard.md", "label": "route scorecard", "kind": "report", "patterns": ["# Route"]}, ], "verification": "python3 scripts/build_confusion_matrix.py", }, "output-lab": { "summary": "补足 output eval 覆盖、execution evidence、blind A/B 和 reviewer adjudication。", "why": "没有输出质量和人工盲评证据时,Skill 只能证明会触发,不能证明输出真的更好且经得起审查。", "source_fix": "evals/output/cases.jsonl + reports/output_quality_scorecard.md + reports/output_review_decisions.json + reports/output_review_adjudication.md", "source_paths": [ {"path": "evals/output/cases.jsonl", "label": "output eval cases", "kind": "eval", "patterns": ["case_id"]}, {"path": "reports/output_quality_scorecard.md", "label": "output scorecard", "kind": "report", "patterns": ["# Output"]}, {"path": "reports/output_execution_runs.md", "label": "output execution runs", "kind": "report", "patterns": ["# Output Execution"]}, {"path": "reports/output_blind_review_pack.md", "label": "blind A/B review pack", "kind": "report", "patterns": ["# Output Blind"]}, {"path": "reports/output_review_decisions.json", "label": "review decisions template", "kind": "report", "patterns": ["decision_contract", "winner_variant"]}, {"path": "reports/output_review_adjudication.md", "label": "review adjudication", "kind": "report", "patterns": ["# Output Review"]}, ], "verification": "python3 scripts/adjudicate_output_review.py --write-template && python3 scripts/yao.py output-review", }, "context-budget": { "summary": "压缩入口与高成本 references,保留最小可路由上下文。", "why": "上下文成本过高会降低加载稳定性,并挤压用户任务材料的预算。", "source_fix": "SKILL.md + references/", "source_paths": [ {"path": "SKILL.md", "label": "entrypoint", "kind": "source", "patterns": ["# Yao Meta Skill"]}, {"path": "reports/context_budget.md", "label": "context budget", "kind": "report", "patterns": ["# Context"]}, ], "verification": "python3 scripts/render_context_reports.py", }, "runtime-matrix": { "summary": "修复目标端结构、metadata、相对路径、fallback 或 adapter target 声明。", "why": "runtime conformance 失败意味着包可能被目标客户端错误加载或静默降级。", "source_fix": "agents/interface.yaml + reports/conformance_matrix.md", "source_paths": [ {"path": "agents/interface.yaml", "label": "portable interface", "kind": "source", "patterns": ["adapter_targets"]}, {"path": "reports/conformance_matrix.md", "label": "conformance matrix", "kind": "report", "patterns": ["# Runtime"]}, ], "verification": "python3 scripts/run_conformance_suite.py .", }, "trust-report": { "summary": "处理脚本 help surface、依赖 pin、network policy、secret 和权限声明。", "why": "团队分发时,脚本和依赖是主要供应链风险面,warning 必须有明确处置。", "source_fix": "reports/security_trust_report.md + security/*.md + scripts/", "source_paths": [ {"path": "reports/security_trust_report.md", "label": "trust report", "kind": "report", "patterns": ["# Security"]}, {"path": "security/script_policy.md", "label": "script policy", "kind": "policy", "patterns": ["# Script"]}, {"path": "security/network_policy.md", "label": "network policy", "kind": "policy", "patterns": ["# Network"]}, ], "verification": "python3 scripts/trust_check.py .", }, "permission-gates": { "summary": "补齐高权限能力的 reviewer、scope、reason、expires_at 和目标端 enforcement 说明。", "why": "权限契约只有在批准人、有效期和目标端处置方式明确时,才能支撑 governed release。", "source_fix": "security/permission_policy.json + security/permission_policy.md", "source_paths": [ {"path": "security/permission_policy.json", "label": "permission approvals", "kind": "policy", "patterns": ["approved"]}, {"path": "security/permission_policy.md", "label": "permission method", "kind": "policy", "patterns": ["# Permission"]}, ], "verification": "python3 scripts/trust_check.py .", }, "permission-runtime": { "summary": "生成并修复目标包的 runtime permission probe 报告。", "why": "目标端即使只能提供 metadata fallback,也必须明确 native enforcement 缺口、表示位置和 operator note。", "source_fix": "dist/targets/*/adapter.json + reports/runtime_permission_probes.md", "source_paths": [ {"path": "reports/runtime_permission_probes.md", "label": "runtime permission probes", "kind": "report", "patterns": ["# Runtime"]}, {"path": "dist/targets/openai/adapter.json", "label": "OpenAI adapter", "kind": "package", "patterns": ["target_permission_contract"]}, {"path": "dist/targets/claude/adapter.json", "label": "Claude adapter", "kind": "package", "patterns": ["target_permission_contract"]}, {"path": "dist/targets/generic/adapter.json", "label": "generic adapter", "kind": "package", "patterns": ["target_permission_contract"]}, ], "verification": "python3 scripts/probe_runtime_permissions.py . --package-dir dist", }, "skill-atlas": { "summary": "处理 portfolio 里的路由冲突、owner 缺口、stale skill 和重复能力。", "why": "单个 Skill 质量很高仍可能在团队 skill library 中被相邻 Skill 冲突削弱。", "source_fix": "reports/skill_atlas.html + skill_atlas/catalog.json", "source_paths": [ {"path": "skill_atlas/catalog.json", "label": "skill atlas catalog", "kind": "atlas", "patterns": ["summary"]}, {"path": "skill_atlas/policy.json", "label": "atlas scope policy", "kind": "policy", "patterns": ["scope"]}, {"path": "reports/skill_atlas.html", "label": "skill atlas report", "kind": "report", "patterns": ["Skill Atlas"]}, ], "verification": "python3 scripts/build_skill_atlas.py --workspace-root .", }, "operations-loop": { "summary": "记录 metadata-only 使用事件,或明确当前 release 缺少真实使用信号。", "why": "没有运营回路时,reviewer 无法判断采用率、误触发、坏输出和 review overdue 的真实影响。", "source_fix": "reports/adoption_drift_report.md", "source_paths": [ {"path": "reports/adoption_drift_report.md", "label": "adoption drift report", "kind": "report", "patterns": ["# Adoption"]}, {"path": "references/telemetry-drift-method.md", "label": "telemetry method", "kind": "method", "patterns": ["# Telemetry"]}, ], "verification": "python3 scripts/render_adoption_drift_report.py . --record-event skill_activation --activation-type explicit --outcome accepted", }, "review-waivers": { "summary": "对保留的 warning 写入 reviewer、理由、范围和到期时间,或修掉 warning。", "why": "warning 可以被接受,但必须可审计、会过期,并且不能掩盖 blocker。", "source_fix": "reports/review_waivers.md", "source_paths": [ {"path": "reports/review_waivers.md", "label": "waiver ledger", "kind": "report", "patterns": ["# Review"]}, {"path": "references/review-waiver-method.md", "label": "waiver method", "kind": "method", "patterns": ["# Review"]}, ], "verification": "python3 scripts/render_review_waivers.py .", }, "registry-audit": { "summary": "补齐 registry package metadata、checksum、license、owner、review cadence 和 install evidence。", "why": "分发元数据不完整时,团队无法安全安装、升级或追溯包体来源。", "source_fix": "registry/ + reports/registry_audit.md", "source_paths": [ {"path": "registry/packages/yao-meta-skill.json", "label": "registry package", "kind": "registry", "patterns": ["version"]}, {"path": "reports/registry_audit.md", "label": "registry audit", "kind": "report", "patterns": ["# Registry"]}, {"path": "reports/install_simulation.md", "label": "install simulation", "kind": "report", "patterns": ["# Install"]}, ], "verification": "python3 scripts/registry_audit.py .", }, "release-notes": { "summary": "确认 promotion、upgrade diff、breaking changes、migration guide 和 known limitations。", "why": "发布说明不完整会让使用者无法判断升级风险和迁移动作。", "source_fix": "reports/upgrade_check.md + docs/migration-v2.md", "source_paths": [ {"path": "reports/upgrade_check.md", "label": "upgrade check", "kind": "report", "patterns": ["# Upgrade"]}, {"path": "docs/migration-v2.md", "label": "migration guide", "kind": "docs", "patterns": ["# Migration"]}, {"path": "reports/promotion_decisions.md", "label": "promotion decisions", "kind": "report", "patterns": ["# Promotion"]}, ], "verification": "python3 scripts/upgrade_check.py . --previous-package-json registry/examples/yao-meta-skill-1.0.0.json", }, } def build_review_actions(gates: list[dict[str, str]], skill_dir: Path, output_html: Path) -> list[dict[str, Any]]: actions: list[dict[str, Any]] = [] for gate_item in gates: if gate_item["status"] == "pass": continue guidance = ACTION_GUIDANCE.get( gate_item["key"], { "summary": "打开证据报告,修复当前 gate 暴露的问题。", "why": "该 gate 未通过,release reviewer 需要明确处置动作。", "source_fix": gate_item.get("evidence", ""), "source_paths": [], "verification": "python3 scripts/render_review_studio.py .", }, ) refs = source_refs(skill_dir, output_html, guidance.get("source_paths", [])) actions.append( { "gate_key": gate_item["key"], "label": gate_item["label"], "status": gate_item["status"], "priority": "blocker" if gate_item["status"] == "block" else "warning", "summary": guidance["summary"], "why": guidance["why"], "source_fix": guidance["source_fix"], "source_refs": refs, "evidence": gate_item.get("evidence", ""), "evidence_link": gate_item.get("link", ""), "verification_command": guidance["verification"], } ) return actions def render_action_source_refs(refs: list[dict[str, Any]]) -> str: if not refs: return "

    暂无结构化 source refs;请先打开证据报告。

    " items = [] for ref in refs: line_suffix = f":{ref['line']}" if ref.get("line") else "" label = f"{ref['path']}{line_suffix}" if ref.get("exists") and ref.get("link"): path_html = f"{html.escape(label)}" else: path_html = f"{html.escape(label)} · missing" items.append( "
  • " f"{path_html}" f"{html.escape(ref.get('label', 'source'))} · {html.escape(ref.get('kind', 'source'))}" "
  • " ) return "" def render_review_actions(actions: list[dict[str, Any]]) -> str: if not actions: return "

    当前没有 blocker 或 warning。保持现有证据链即可。

    " cards = [] for item in actions: link_html = f"打开证据" if item.get("evidence_link") else "" source_refs_html = render_action_source_refs(item.get("source_refs", [])) cards.append( "
    " f"
    {html.escape(status_label(item['status']))}

    {html.escape(item['label'])}

    " f"

    {html.escape(item['summary'])}

    " f"{html.escape(item['why'])}" f"
    修复位置
    {html.escape(item['source_fix'])}
    " f"
    验证命令
    {html.escape(item['verification_command'])}
    " f"{source_refs_html}" f"" "
    " ) return "".join(cards) def render_review_annotations_panel(annotations_report: dict[str, Any]) -> str: annotations = annotations_report.get("annotations", []) if isinstance(annotations_report, dict) else [] if not annotations: return "

    当前没有 reviewer 批注。

    " cards = [] for item in annotations: line_suffix = f":{item['line']}" if item.get("line") else "" target_label = f"{item.get('target_path', '')}{line_suffix}" meta = " · ".join( part for part in [ str(item.get("gate_key", "")), str(item.get("reviewer", "")), str(item.get("created_at", "")), ] if part ) cards.append( "
    " f"
    {html.escape(str(item.get('severity', 'note')))} · {html.escape(str(item.get('status', 'open')))}" f"

    {html.escape(str(item.get('id', 'annotation')))}

    " f"

    {html.escape(str(item.get('body', '')))}

    " f"
    位置
    {html.escape(target_label)}
    " f"
    Gate
    {html.escape(str(item.get('gate_key', '')))}
    " f"
    建议
    {html.escape(str(item.get('suggested_action', '') or '无'))}
    " f"{html.escape(meta)}" f"" "
    " ) return "".join(cards) def render_html(report: dict[str, Any]) -> str: summary = report["summary"] gates = report["gates"] gate_details = {item["key"]: item["detail"] for item in gates} blockers = report["blockers"] warnings = report["warnings"] insights = insight_cards(report["data"]) overview = report["data"]["overview"] manifest = report["data"]["manifest"] frontmatter = report["data"]["frontmatter"] title = overview.get("display_name") or overview.get("title") or frontmatter.get("name") or manifest.get("name") or "Skill" description = overview.get("description") or frontmatter.get("description", "") nav_html = render_review_nav() gates_html = render_gate_list(gates) metrics_html = render_insights(insights) blockers_html = render_issue_list("阻断事项", blockers) warnings_html = render_issue_list("关注事项", warnings) actions_html = render_review_actions(report["review_actions"]) annotations_html = render_review_annotations_panel(report["data"].get("review_annotations", {})) output_summary = report["data"]["output_quality"].get("summary", {}) output_execution_summary = report["data"]["output_execution"].get("summary", {}) output_blind_summary = report["data"]["output_blind_review"].get("summary", {}) output_review_summary = report["data"]["output_review_adjudication"].get("summary", {}) conformance_summary = report["data"]["conformance"].get("summary", {}) compiled_summary = report["data"]["compiled_targets"].get("summary", {}) trust_summary = report["data"]["trust"].get("summary", {}) runtime_permissions_summary = report["data"]["runtime_permissions"].get("summary", {}) atlas_summary = report["data"]["atlas"].get("summary", {}) adoption_summary = report["data"]["adoption_drift"].get("summary", {}) waiver_summary = report["data"]["review_waivers"].get("summary", {}) annotation_summary = report["data"]["review_annotations"].get("summary", {}) annotation_caption = ( f"{annotation_summary.get('annotation_count', 0)} 条批注;" f"开放 {annotation_summary.get('open_count', 0)};" f"阻断 {annotation_summary.get('open_blocker_count', 0)}" ) registry_package = report["data"]["registry"].get("package", {}) package_summary = report["data"]["package_verification"].get("summary", {}) install_summary = report["data"]["install_simulation"].get("summary", {}) atlas_panel = render_kv_grid( atlas_summary, [ "skill_count", "actionable_skill_count", "actionable_route_collision_count", "actionable_owner_gap_count", "actionable_stale_count", "telemetry_report_count", "actionable_drift_signal_count", "drift_signal_count", "non_actionable_issue_count", ], "skill atlas summary missing", ) output_panel = render_kv_grid( output_summary, ["case_count", "with_skill_pass_rate", "baseline_pass_rate", "delta", "gate_pass", "failure_count"], "output eval scorecard missing", ) execution_panel = render_kv_grid( output_execution_summary, [ "variant_run_count", "command_executed_count", "model_executed_count", "recorded_fixture_count", "timing_observed_count", "token_estimated_count", ], "output execution report missing", ) blind_panel = render_kv_grid( output_blind_summary, ["pair_count", "answer_key_separate", "with_skill_hidden_count"], "blind A/B review pack missing", ) review_panel = render_kv_grid( output_review_summary, [ "pair_count", "judgment_count", "pending_count", "agreement_count", "disagreement_count", "invalid_decision_count", "answer_revealed_count", "pending_answer_hidden_count", ], "review adjudication report missing", ) conformance_panel = render_kv_grid( conformance_summary, ["target_count", "pass_count", "fail_count", "warning_count", "failure_count"], "runtime conformance matrix missing", ) compiled_panel = render_kv_grid( compiled_summary, ["target_count", "pass_count", "warn_count", "block_count", "failure_count"], "compiled target report missing", ) trust_panel = render_kv_grid( trust_summary, ["secret_findings", "script_count", "network_script_count", "help_smoke_failed_count", "package_sha256"], "security trust report missing", ) runtime_boundary_panel = render_kv_grid( runtime_permissions_summary, ["target_count", "pass_count", "native_enforcement_count", "metadata_fallback_count", "residual_risk_count", "failure_count"], "runtime permission probe summary missing", ) adoption_panel = render_kv_grid( adoption_summary, ["event_count", "adoption_rate", "missed_trigger_count", "bad_output_count", "risk_band"], "no adoption drift summary", ) waiver_panel = render_kv_grid( waiver_summary, ["waiver_count", "active_count", "expired_count", "invalid_count", "covered_gate_count"], "no review waiver summary", ) registry_panel = render_kv_grid( registry_package_summary(registry_package), [ "name", "version", "maturity", "owner", "license", "trust_level", "targets", "compatibility_pass_count", "archive_sha256", ], "registry package metadata missing", ) package_panel = render_kv_grid( package_summary, ["target_count", "adapter_count", "archive_present", "archive_entry_count", "failure_count", "warning_count", "archive_sha256"], "package verification missing", ) install_panel = render_kv_grid( install_summary, [ "archive_extracted", "entrypoint_loaded", "manifest_loaded", "interface_loaded", "adapter_count", "installer_permission_enforced_count", "installer_permission_failure_count", "permission_target_count", "permission_capability_count", "failure_count", "warning_count", ], "install simulation missing", ) evidence_html = "".join( f"
  • {html.escape(key)}{html.escape(value)}
  • " for key, value in report["evidence_paths"].items() ) return f""" {html.escape(str(title))} Review Studio 2.0
    Review Studio 2.0

    {html.escape(str(title))}

    {html.escape(str(description))}

    审查结论 {html.escape(summary['decision'])} Score {html.escape(str(summary['world_class_score']))}/100

    核心指标

    {metrics_html}

    审查闸门

    {gates_html}
    {blockers_html} {warnings_html}

    修复动作

    {actions_html}

    审查批注

    当前批注:{html.escape(annotation_caption)}

    {annotations_html}

    意图画布

    {html.escape(str(report['data']['intent_confidence'].get('anchor_sentence', description)))}

    证据路径

      {evidence_html}

    触发实验

    {html.escape(gates[1]['detail'])}

    组合治理

    {atlas_panel}

    输出实验

    {output_panel}

    执行证据

    {execution_panel}

    盲评包

    {blind_panel}

    审定报告

    {review_panel}

    发布标准

    Governed 和 Library 至少需要 5 个 output eval cases,并覆盖 file-backed、near-neighbor、boundary case、execution evidence 和 blind A/B review pack。

    人工结论

    没有 reviewer 决策时只显示 pending;只有真实决策文件会进入一致率和分歧统计。

    评审方式

    先看 reports/output_blind_review_pack.md 做盲评,填入 reports/output_review_decisions.json,再用 reports/output_review_adjudication.md 核对答案 key。

    运行方式

    reports/output_execution_runs.md 会标明 recorded fixture、command run 或 model run;只有 provider runner 返回 model metadata 时才算 model-executed。

    运行矩阵

    {conformance_panel}

    目标编译

    {compiled_panel}

    上下文

    {html.escape(gate_details.get('context-budget', 'context budget missing'))}

    编译证据

    Review reports/compiled_targets.md before packaging to inspect target adapter modes, generated files, preserved semantics, warnings, and unsupported features.

    信任报告

    {trust_panel}

    安全边界

    高风险 secret、远程 inline execution、缺失依赖策略或无法解释的脚本接口应阻断 governed release。

    权限批准

    {html.escape(gate_details.get('permission-gates', 'permission governance missing'))}

    批准策略

    高权限能力需要 reviewer、scope、reason、expires_at 和 openai/claude/generic 目标端 enforcement 说明。

    权限探针

    {html.escape(gate_details.get('permission-runtime', 'runtime permission probes missing'))}

    运行边界

    {runtime_boundary_panel}

    组合治理

    {html.escape(gate_details.get('skill-atlas', 'skill atlas missing'))}

    下一动作

    优先处理真实 portfolio 中的 duplicate names、stale skills、owner gaps,再用运营回路判断真实影响。

    运营回路

    {html.escape(gate_details.get('operations-loop', 'adoption drift report missing'))}

    漂移信号

    {adoption_panel}

    人工批准

    {html.escape(gate_details.get('review-waivers', 'review waiver ledger missing'))}

    批准台账

    {waiver_panel}

    注册审计

    {html.escape(gate_details.get('registry-audit', 'registry audit missing'))}

    包体元数据

    {registry_panel}

    发布路线

    {html.escape(gate_details.get('release-notes', 'release notes missing'))}

    包体验证

    {package_panel}

    安装模拟

    {install_panel}

    权限覆盖

    安装模拟会读取解压后的 target adapter,并按 declared_capabilities 核对 security/permission_policy.json 中的有效批准、证据、过期时间和目标端 enforcement 说明。

    """ def render_review_studio(skill_dir: Path, output_html: Path | None = None, output_json: Path | None = None) -> dict[str, Any]: skill_dir = skill_dir.resolve() reports_dir = skill_dir / "reports" reports_dir.mkdir(parents=True, exist_ok=True) output_html = output_html or reports_dir / "review-studio.html" output_json = output_json or reports_dir / "review-studio.json" data = load_review_data(skill_dir) gates = build_gates(skill_dir, output_html, data) blockers, warnings = add_blockers_from_gate(gates) review_actions = build_review_actions(gates, skill_dir, output_html) score = weighted_score(gates) annotation_summary = data["review_annotations"].get("summary", {}) open_annotation_blockers = int(annotation_summary.get("open_blocker_count", 0) or 0) open_annotation_warnings = int(annotation_summary.get("open_warning_count", 0) or 0) decision = "blocked" if blockers or open_annotation_blockers else ("review" if warnings or open_annotation_warnings else "ready") report = { "schema_version": "2.0", "ok": True, "skill_dir": display_path(skill_dir, skill_dir), "summary": { "decision": decision, "world_class_score": score, "gate_count": len(gates), "blocker_count": len(blockers), "warning_count": len(warnings), "action_count": len(review_actions), "annotation_count": int(annotation_summary.get("annotation_count", 0) or 0), "open_annotation_count": int(annotation_summary.get("open_count", 0) or 0), "open_annotation_blocker_count": open_annotation_blockers, "open_annotation_warning_count": open_annotation_warnings, }, "gates": gates, "blockers": blockers, "warnings": warnings, "review_actions": review_actions, "evidence_paths": evidence_paths(skill_dir), "data": data, "artifacts": { "html": display_path(skill_dir, output_html), "json": display_path(skill_dir, output_json), }, } output_html.write_text(render_html(report), encoding="utf-8") output_json.write_text(json.dumps(report, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") return {key: value for key, value in report.items() if key != "data"} def main() -> None: parser = argparse.ArgumentParser(description="Render Review Studio 2.0 for a skill package.") parser.add_argument("skill_dir", nargs="?", default=".") parser.add_argument("--output-html") parser.add_argument("--output-json") args = parser.parse_args() payload = render_review_studio( Path(args.skill_dir), output_html=Path(args.output_html).resolve() if args.output_html else None, output_json=Path(args.output_json).resolve() if args.output_json else None, ) print(json.dumps(payload, ensure_ascii=False, indent=2)) if __name__ == "__main__": main()