Split meta skill CLI and review gates
Merge the beta-ready Yao Meta Skill architecture, report, evidence gate, and release-boundary updates.\n\nRelease boundary: beta/public testing is allowed; formal world-class, fully reviewed, or superiority claims remain blocked until the pending evidence gates are accepted.
This commit is contained in:
YAO
+151
-181
@@ -5,174 +5,20 @@ import json
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from pathlib import Path
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from skill_report_charts import render_chart_set
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from skill_report_i18n import (
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KIND_ZH,
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LABEL_EN,
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PACKAGE_LABEL_ZH,
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bi_item,
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bi_span,
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en_for,
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mode_zh,
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readable_description_zh,
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)
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from skill_report_layout import render_language_switch, render_report_nav, skill_overview_css, skill_overview_script
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from skill_report_model import REPORT_NAV_V2, build_report_model
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TEXT_ZH = {
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"Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.": "从工作流、提示词、对话记录、文档或笔记中创建、重构、评估和打包 agent skill；适用于新建 Skill、沉淀重复流程、改进现有 Skill、补充 eval 或团队复用打包。",
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"Understand the request.": "理解用户请求。",
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"Execute the main task.": "执行核心任务。",
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"Validate the result.": "校验交付结果。",
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"Understand the request": "理解用户请求。",
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"Execute the main task": "执行核心任务。",
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"Validate the result": "校验交付结果。",
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"Decide whether the request should become a skill and choose the lightest fit.": "判断请求是否应该沉淀为 Skill，并选择最轻量可靠的模式。",
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"Capture job, output, exclusions, constraints, and standards.": "捕捉任务、输出、排除项、约束和质量标准。",
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"Run reference scan: external benchmarks first, user references second, local fit third; surface only uncertainty or conflict.": "运行参考扫描：先看外部 benchmark，再看用户材料，最后校验本地适配；只暴露不确定性或冲突。",
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"Write the `description` early and test route quality before expanding the package.": "尽早写出 `description`，先测试路由质量，再扩展包体。",
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"Add output-risk, artifact-design, prompt-quality, and system-model reports only when they matter.": "只在确有价值时添加 output-risk、artifact-design、prompt-quality 和 system-model 报告。",
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"Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals.": "当你需要把工作流或笔记沉淀成结构精简、触发清晰且带必要 eval 的可复用 Skill 时使用 $yao-meta-skill。",
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"Turn rough requests into a compact reusable demo skill.": "把粗糙请求整理成紧凑、可复用的演示 Skill。",
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"Tighten trigger and exclusions": "收紧触发与排除边界",
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"Add the first execution asset": "补上第一个执行资产",
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"Promote from scaffold to production-ready": "从脚手架推进到生产可用",
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"Borrow one proven pattern on purpose": "有选择地借鉴一个成熟模式",
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"Harden portability semantics": "加固跨环境语义",
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"Create an iteration evidence loop": "建立迭代证据回路",
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"The package needs clearer near-neighbor exclusions before it grows.": "在继续扩展前，需要先把相邻但不应触发的场景说清楚。",
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"The package is still mostly prose. Add one asset that removes repeated manual work.": "当前包体仍偏文本说明，应先增加一个能减少重复人工操作的资产。",
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"The first version exists; the next gain usually comes from adding the smallest useful gates.": "第一版已经存在，下一步收益通常来自补上最小但有效的质量门禁。",
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"You already have public benchmark objects. The next gain is to choose one pattern intentionally instead of absorbing everything loosely.": "已经有公开 benchmark 对象，下一步应主动选择一个模式借鉴，而不是松散吸收所有做法。",
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"The skill already signals reuse across environments, so contract clarity matters early.": "这个 Skill 已经面向跨环境复用，因此早期就需要把契约语义说清楚。",
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"The package should show what changed and why after the first draft.": "第一版之后，包体应该能说明改了什么以及为什么改。",
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"Add 3 to 5 should-trigger and should-not-trigger examples.": "增加 3 到 5 个应触发和不应触发的例子。",
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"Refine the frontmatter description to name the recurring job and non-goals.": "精炼 frontmatter description，明确重复任务和非目标。",
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"Run a first trigger evaluation pass before expanding the package.": "扩展包体前先跑一轮触发评估。",
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"Move stable procedural guidance into references if users will need it repeatedly.": "如果用户会反复使用某段流程说明，把它沉淀到 references。",
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"Create one deterministic helper script if a repeated step can be executed instead of described.": "如果某个重复步骤可以执行而不是描述，就沉淀成一个确定性 helper script。",
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"Keep the main SKILL.md compact and route-oriented.": "保持主 SKILL.md 简洁，并围绕路由与入口组织。",
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"Decide whether this skill is personal, team-reused, or library-grade.": "判断这个 Skill 是个人使用、团队复用，还是库级基础能力。",
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"Add only the gates that match that risk level.": "只添加与风险等级匹配的质量门禁。",
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"Record lifecycle metadata and review cadence once reuse becomes real.": "一旦进入真实复用，就记录生命周期元数据和评审节奏。",
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"Decide whether to borrow method, structure, execution, or portability, but only one of them first.": "先判断要借鉴的是方法、结构、执行方式还是可迁移性，并且第一轮只借鉴其中一个。",
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"Record what you will not borrow so the package stays light.": "记录本轮不借鉴的内容，避免包体过重。",
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"Confirm activation mode, execution context, and trust assumptions.": "确认激活模式、执行上下文和信任假设。",
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"Add or review degradation strategy for non-native targets.": "补充或复核非原生目标端的降级策略。",
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"Package the skill once to verify adapter expectations.": "至少打包一次 Skill，用来验证 adapter 预期。",
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"Generate the HTML skill report and keep it aligned with the package.": "生成 HTML Skill 报告，并保持它与包体内容一致。",
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"Record reference scan choices and non-goals.": "记录参考扫描的取舍和非目标。",
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"Capture the next iteration choice explicitly before adding more files.": "在继续增加文件前，明确记录下一轮迭代选择。",
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"Cleaner routing and fewer accidental activations.": "路由更清晰，误触发更少。",
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"Stronger execution quality without bloating the entrypoint.": "在不膨胀入口文件的前提下提升执行质量。",
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"A clearer path from exploratory package to maintained asset.": "更清晰地从探索性包体走向可维护资产。",
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"A cleaner package shape with less accidental over-design.": "包体形态更清晰，也减少偶然过度设计。",
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"Safer cross-environment reuse with less target drift.": "跨环境复用更安全，目标漂移更少。",
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"A clearer path for the next author or reviewer.": "让下一位作者或评审者更容易接手。",
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}
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TEXT_EN = {
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"触发面保持精简，并锚定在 frontmatter description。": "The trigger surface stays lean and anchored in the frontmatter description.",
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"已打包 agents/interface.yaml，便于后续做跨平台适配。": "Portable interface metadata is packaged for later adapter-based export.",
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"长指导被拆到 references 中，入口文件可以保持轻量。": "Extended guidance is separated into references so the entrypoint can stay compact.",
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"确定性辅助逻辑放在 scripts 中，而不是藏在提示词里。": "Deterministic helper logic lives in scripts instead of hidden prompt text.",
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"包内包含可随 Skill 迁移的质量门禁或触发检查。": "The package includes portable quality gates or trigger checks.",
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"这份报告用于快速理解新生成 Skill 的定位、原理、触发边界和交付内容。": "Use this report to quickly understand the generated skill's role, principles, trigger boundary, and deliverables.",
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"先确认重复任务、真实输入形态和可交付输出，再决定是否继续加 references、scripts 或 evals。": "Clarify the recurring job, real input shape, and deliverable output before adding references, scripts, or evals.",
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"如果需求仍然模糊，优先回到 intent dialogue 收紧边界，再扩展包体结构。": "If the request is still fuzzy, tighten the boundary through intent dialogue before expanding the package.",
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"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。": "Output Review Adjudication is generated to record blind-review decisions, agreement rate, and pending cases.",
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"已生成 Output Execution Runs，可区分记录样本、命令执行和模型执行证据。": "Output Execution Runs is generated to distinguish recorded fixtures, command runs, and model-run evidence.",
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"尚未生成盲评审定报告。": "The blind review adjudication report has not been generated yet.",
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"尚未生成输出执行证据报告。": "The output execution evidence report has not been generated yet.",
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"先记录 reviewer 对 A/B 的选择，再打开答案 key 计算一致率。": "Record the reviewer's A/B choice before opening the answer key and calculating agreement.",
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"缺少真实 reviewer 决策时只显示待评审，不伪造人工结论。": "When real reviewer decisions are missing, show pending status instead of fabricating human conclusions.",
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"recorded fixture 只能证明可复现样本，不等同于模型执行。": "A recorded fixture proves reproducible samples only; it is not model execution.",
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"只有 provider runner 返回 model metadata 时才计入 model-executed。": "Only provider runners that return model metadata count as model-executed.",
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}
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MODE_ZH = {
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"scaffold": "脚手架",
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"production": "生产",
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"library": "库级",
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"governed": "治理",
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"manual": "手动",
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"inline": "内联",
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"agent-skills": "Agent Skills",
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}
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PACKAGE_LABEL_ZH = {
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"SKILL.md": "Skill 入口文件",
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"README.md": "人类可读使用说明",
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"agents/interface.yaml": "跨平台接口元数据",
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"manifest.json": "生命周期与打包元数据",
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"references": "扩展指导与复用资料",
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"scripts": "确定性脚本或本地工具",
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"evals": "触发与质量检查",
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"reports": "生成的证据与总结报告",
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}
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KIND_ZH = {"file": "文件", "folder": "目录"}
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LABEL_EN = {
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"强项": "Strength",
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"缺口": "Gap",
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"保留并复用": "Keep",
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"纳入下一轮修复": "Fix next",
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}
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def contains_cjk(text: str) -> bool:
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return any("\u4e00" <= char <= "\u9fff" for char in str(text))
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def zh_for(text: str) -> str:
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value = str(text).strip()
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if not value:
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return ""
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if value in TEXT_ZH:
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return TEXT_ZH[value]
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if value in TEXT_EN or contains_cjk(value):
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return value
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if value.startswith("Use this skill when the request matches:"):
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return "当用户请求与该 Skill 的触发描述匹配时使用。"
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if value.startswith("用户说出类似需求时："):
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return "当用户提出与该 Skill 触发描述相近的请求时使用。"
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if value.startswith("Use $") and " when you need to " in value:
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skill, need = value.removeprefix("Use ").split(" when you need to ", 1)
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return f"当你需要{zh_for(need).rstrip('。')}时使用 `{skill}`。"
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if value.startswith("Read the strongest pattern from "):
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repo = value.removeprefix("Read the strongest pattern from ").rstrip(".")
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return f"阅读 `{repo}` 中最值得借鉴的模式。"
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if value.startswith("Primary prompt task family:"):
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return "主要提示任务类型已记录在 prompt quality profile 中。"
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if value.startswith("Complexity:"):
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return "复杂度判断已记录在 prompt quality profile 中。"
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if value.startswith("Stability:"):
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return "系统稳定性评分已记录在 system model 中。"
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if value.startswith("Owned job:"):
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return "负责的核心任务已在 system model 中说明。"
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if value.startswith("Leverage:"):
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return "关键杠杆点已在 system model 中说明。"
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return "原始说明可切换到英文查看；默认中文报告保留结论与结构说明。"
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def en_for(text: str) -> str:
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value = str(text).strip()
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return TEXT_EN.get(value, value)
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def bi_span(zh: str, en: str | None = None) -> str:
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english = en if en is not None else en_for(zh)
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return (
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f'<span data-lang="zh-CN">{html.escape(str(zh))}</span>'
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f'<span data-lang="en">{html.escape(str(english))}</span>'
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)
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def bi_item(text: str) -> str:
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return bi_span(zh_for(text), en_for(text))
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def mode_zh(value: str) -> str:
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return MODE_ZH.get(str(value), str(value))
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def readable_description_zh(description: str) -> str:
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if contains_cjk(description):
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return description
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return "该 Skill 的触发描述来自 SKILL.md frontmatter；默认中文报告先呈现能力边界，原始英文描述可切换到英文查看。"
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def render_list(items: list[str], class_name: str = "list") -> str:
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if not items:
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return f'<ul class="{class_name}"><li>{bi_span("暂无记录。", "No records yet.")}</li></ul>'
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@@ -192,7 +38,7 @@ def render_metric_cards(scorecard: dict) -> str:
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cards.append(
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"<article class='metric-card'>"
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"<div class='metric-card-head'>"
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f"<span class='metric-label'>{html.escape(str(item.get('label', key)))}</span>"
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f"<span class='metric-label'>{bi_item(str(item.get('label', key)))}</span>"
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f"<strong>{html.escape(str(item.get('score', 'n/a')))}</strong>"
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"</div>"
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f"<div class='metric-card-body'>{reasons}</div>"
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@@ -219,7 +65,7 @@ def render_metric_summary(scorecard: dict) -> str:
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items.append(
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"<li>"
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f"<span class='metric-status'>{bi_span(verdict, verdict_en)}</span>"
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f"<b>{html.escape(label)}</b>"
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f"<b>{bi_item(label)}</b>"
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f"<em>{score}</em>"
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f"<small>{bi_item(reason)}</small>"
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"</li>"
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@@ -242,6 +88,118 @@ def render_audit_rows(items: list[dict]) -> str:
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return "".join(rows)
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WORLD_CLASS_CHECK_COPY = {
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"Provider model run": ("提供商实跑", "Provider model run"),
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"Token usage observed": ("Token 用量", "Token usage observed"),
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"No pending decisions": ("无待判定", "No pending decisions"),
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"Judgments complete": ("盲评完成", "Judgments complete"),
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"Native enforcement": ("原生执行", "Native enforcement"),
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"External events": ("外部事件", "External events"),
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"Adoption sample": ("采用样本", "Adoption sample"),
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}
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def render_world_class_check(check: object) -> str:
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if isinstance(check, dict):
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label_en = str(check.get("label_en") or check.get("label") or "")
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label_zh = str(check.get("label_zh") or "")
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else:
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label_en = str(check)
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label_zh = ""
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label_zh, label_en = WORLD_CLASS_CHECK_COPY.get(label_en, (label_zh or label_en, label_en))
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return f"<li>{bi_span(label_zh, label_en)}</li>"
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def render_world_class_readiness(readiness: dict) -> str:
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if not readiness:
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return ""
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kpis = [
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(
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"待补证据",
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"Pending",
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readiness.get("pending_count", 0),
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"仍需外部或人工证据接受。",
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"External or human evidence still needs acceptance.",
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),
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(
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"已接受",
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"Accepted",
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readiness.get("accepted_count", 0),
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"已通过 source check 与提交契约。",
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"Passed source checks and submission contract.",
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),
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(
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"源检查",
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"Source Checks",
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f"{readiness.get('source_pass_count', 0)} / {readiness.get('source_check_count', 0)}",
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"通过数 / 总检查数。",
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"Passed checks / total checks.",
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),
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]
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kpi_html = "".join(
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"<article class='evidence-kpi'>"
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f"<span>{bi_span(zh, en)}</span>"
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f"<strong>{html.escape(str(value))}</strong>"
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f"<small>{bi_span(note_zh, note_en)}</small>"
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"</article>"
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for zh, en, value, note_zh, note_en in kpis
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)
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entries = readiness.get("entries", [])
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if entries:
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blocks = []
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for item in entries:
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blocked_checks = [
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str(check).strip()
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for check in item.get("blocked_checks", [])
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if str(check).strip()
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]
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if blocked_checks:
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checks_html = (
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"<ul class='blocked-checks'>"
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+ "".join(render_world_class_check(check) for check in blocked_checks)
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+ "</ul>"
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)
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else:
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checks_html = (
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"<p class='blocked-checks-empty'>"
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f"{bi_span('当前没有阻塞检查。', 'No blocked checks right now.')}"
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"</p>"
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)
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blocks.append(
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"<article class='evidence-item'>"
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"<div>"
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f"<span>{bi_span(str(item.get('category_zh', '外部证据')), str(item.get('category_en', 'External evidence')))}</span>"
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f"<h4>{bi_span(str(item.get('label_zh', item.get('key', '证据项'))), str(item.get('label_en', item.get('key', 'Evidence item'))))}</h4>"
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"</div>"
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f"<p>{bi_span(str(item.get('summary_zh', '仍待补充证据。')), str(item.get('summary_en', 'Evidence is still pending.')))}</p>"
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f"<h5>{bi_span('阻塞检查', 'Blocked Checks')}</h5>"
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f"{checks_html}"
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"</article>"
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)
|
||||
entry_html = "".join(blocks)
|
||||
else:
|
||||
entry_html = (
|
||||
"<article class='evidence-item empty'>"
|
||||
f"<p>{bi_span('尚未生成 world-class ledger；这里只保留反过度承诺提示。', 'No world-class ledger has been generated; this panel keeps the anti-overclaim guard visible.')}</p>"
|
||||
"</article>"
|
||||
)
|
||||
status = "可宣称" if readiness.get("ready") else "证据待补"
|
||||
status_en = "Claim-ready" if readiness.get("ready") else "Evidence pending"
|
||||
return (
|
||||
"<article class='panel world-readiness'>"
|
||||
"<div class='world-readiness-head'>"
|
||||
"<div>"
|
||||
f"<h3>{bi_span('世界证据', 'World Evidence')}</h3>"
|
||||
f"<p>{bi_span(str(readiness.get('conclusion_zh', '世界级证据状态未知。')), str(readiness.get('conclusion_en', 'World-class evidence status is unknown.')))}</p>"
|
||||
"</div>"
|
||||
f"<span class='world-status'>{bi_span(status, status_en)}</span>"
|
||||
"</div>"
|
||||
f"<div class='evidence-kpis'>{kpi_html}</div>"
|
||||
f"<div class='evidence-list'>{entry_html}</div>"
|
||||
"</article>"
|
||||
)
|
||||
|
||||
|
||||
def render_score_strip(scorecard: dict) -> str:
|
||||
keys = ["completeness_score", "trigger_score", "evidence_score", "context_cost"]
|
||||
cards = []
|
||||
@@ -253,7 +211,7 @@ def render_score_strip(scorecard: dict) -> str:
|
||||
reason = item.get("reasons", [""])[0]
|
||||
cards.append(
|
||||
"<article class='score-chip'>"
|
||||
f"<span>{html.escape(str(item.get('label', key)))}</span>"
|
||||
f"<span>{bi_item(str(item.get('label', key)))}</span>"
|
||||
f"<strong>{score}</strong>"
|
||||
f"<i style='--score:{score}%'></i>"
|
||||
f"<small>{bi_item(str(reason))}</small>"
|
||||
@@ -289,12 +247,16 @@ def render_html(summary: dict) -> str:
|
||||
contract = summary.get("contract_boundary", {})
|
||||
quality = summary.get("quality_review", {})
|
||||
risk = summary.get("risk_governance", {})
|
||||
world_readiness = summary.get("world_class_readiness", {})
|
||||
assets = summary.get("package_assets", {})
|
||||
roadmap = summary.get("iteration_roadmap", {})
|
||||
output_execution = summary.get("output_execution", {})
|
||||
output_execution_summary = output_execution.get("summary", {})
|
||||
output_review = summary.get("output_review_adjudication", {})
|
||||
output_review_summary = output_review.get("summary", {})
|
||||
report_contract = summary.get("report_contract", {})
|
||||
html_report_path = str(report_contract.get("html_report") or "reports/skill-overview.html")
|
||||
open_report_message = f"创建完成后建议先打开 {html_report_path}，再继续扩展包体。"
|
||||
hero_meta = [
|
||||
(f"技能名称：{summary['name']}", f"Skill name: {summary['name']}"),
|
||||
(f"成熟度：{mode_zh(metadata.get('maturity_tier', 'scaffold'))}", f"Maturity: {metadata.get('maturity_tier', 'scaffold')}"),
|
||||
@@ -375,13 +337,13 @@ def render_html(summary: dict) -> str:
|
||||
<p class="eyebrow">{bi_span("YAO Skill 生成审计报告", "YAO Skill Generation Audit")}</p>
|
||||
<p class="slug">{html.escape(summary['name'])}</p>
|
||||
<h1 id="report-title">{bi_span("技能审计报告", f"{summary['display_name']} Audit Report")}</h1>
|
||||
<p class="lead">{bi_span("这份报告默认使用中文简体，把新 Skill 的定位、指标、原理、契约、质量、风险、资产和迭代路线整理为一份可审计的 HTML 报告。", summary["description"])}</p>
|
||||
<p class="lead">{bi_span("这份报告默认使用中文简体，把新 Skill 的定位、指标、原理、契约、质量、风险、资产和迭代路线整理为一份可审计的 HTML 报告。", en_for(str(summary["description"])))}</p>
|
||||
<div class="hero-meta">{hero_meta_html}</div>
|
||||
<div class="badges">{target_badges}</div>
|
||||
</div>
|
||||
<aside class="hero-card">
|
||||
<h3>{bi_span("核心判断", "Core reading")}</h3>
|
||||
{render_list([skill.get("core_value", ""), skill.get("audience", ""), "创建完成后建议先打开 reports/skill-overview.html，再继续扩展包体。"])}
|
||||
{render_list([skill.get("core_value", ""), skill.get("audience", ""), open_report_message])}
|
||||
</aside>
|
||||
</div>
|
||||
<div class="score-strip" aria-label="报告关键指标">{score_strip}</div>
|
||||
@@ -409,17 +371,24 @@ def render_html(summary: dict) -> str:
|
||||
<h2>{bi_span("总览指标", "Metrics")}</h2>
|
||||
<p>{bi_span("分数来自本地文件和 reports 证据，缺失时明确标为证据不足。", "Scores are derived from package files and reports; missing inputs are shown as evidence gaps.")}</p>
|
||||
</div>
|
||||
<div>
|
||||
<div class="metrics-stack">
|
||||
<div class="metrics-lead">
|
||||
{charts["radar"]}
|
||||
<article class="panel metrics-note">
|
||||
<h3>{bi_span("指标判读", "Reading")}</h3>
|
||||
<p>{bi_span("先看雷达图判断能力短板，再看下方每项分数的证据原因。分数不是装饰数字，必须和本地文件、reports 证据或证据不足提示对应。", "Read the radar first for weak spots, then inspect each score with its evidence. Scores must map to local files, reports, or explicit evidence gaps.")}</p>
|
||||
{render_metric_summary(scorecard)}
|
||||
</article>
|
||||
</div>
|
||||
<div class="metric-grid">{render_metric_cards(scorecard)}</div>
|
||||
<article class="panel metrics-note">
|
||||
<h3>{bi_span("指标判读", "Reading")}</h3>
|
||||
<p>{bi_span("先看雷达图判断能力短板，再看每项分数的证据原因。分数不是装饰数字，必须和本地文件、reports 证据或证据不足提示对应。", "Read the radar first for weak spots, then inspect each score with its evidence. Scores must map to local files, reports, or explicit evidence gaps.")}</p>
|
||||
</article>
|
||||
</div>
|
||||
<div class="section-body metrics-report">
|
||||
<div class="metrics-flow">
|
||||
<div class="metrics-primary" aria-label="指标图表与成熟度摘要">
|
||||
{charts["radar"]}
|
||||
<article class="panel metrics-note metrics-summary-panel">
|
||||
<h3>{bi_span("成熟度条", "Maturity Bar")}</h3>
|
||||
<p>{bi_span("这里把每个指标压缩为状态、分数和第一条证据，先给出整体判断，再进入下方明细。", "This compresses each metric into status, score, and the first evidence item before the detailed cards below.")}</p>
|
||||
{render_metric_summary(scorecard)}
|
||||
</article>
|
||||
</div>
|
||||
<div class="metric-detail-section">
|
||||
<div class="detail-section-kicker">{bi_span("指标明细", "Metric Details")}</div>
|
||||
<div class="metric-grid metric-detail-grid">{render_metric_cards(scorecard)}</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -472,7 +441,7 @@ def render_html(summary: dict) -> str:
|
||||
<div class="two-col">
|
||||
<article class="panel">
|
||||
<h3>{bi_span("触发描述", "Trigger")}</h3>
|
||||
<p>{bi_span(readable_description_zh(str(trigger.get("description", ""))), str(trigger.get("description", "")))}</p>
|
||||
<p>{bi_span(readable_description_zh(str(trigger.get("description", ""))), en_for(str(trigger.get("description", ""))))}</p>
|
||||
<h3>{bi_span("输入材料", "Inputs")}</h3>
|
||||
{render_list(contract.get("inputs", []))}
|
||||
</article>
|
||||
@@ -536,6 +505,7 @@ def render_html(summary: dict) -> str:
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
{render_world_class_readiness(world_readiness)}
|
||||
</div>
|
||||
</section>
|
||||
|
||||
|
||||
Reference in New Issue
Block a user