haiany
/
darwin-skill
espejo de https://github.com/alchaincyf/darwin-skill.git


			
				
					
						
						
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<html lang="zh-CN">
<head>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>自主技能优化系统</title>
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  /* ═══════ RESPONSIVE ═══════ */
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    .rubric-stat-num { font-size: 48px; }
    .mapping-table td:first-child { white-space: normal; }
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</style>
</head>
<body>

<!-- ═══════════════════════════ HERO ═══════════════════════════ -->
<div class="container">
  <section class="hero">
    <div class="hero-label">自主技能优化系统</div>
    <h1>Auto Skill<br>Optimizer</h1>
    <p class="hero-subtitle">
      <strong>评估</strong> &rarr; <strong>改进</strong> &rarr; <strong>实测验证</strong> &rarr; <strong>人类确认</strong> &rarr; <strong>保留或回滚</strong>
    </p>
    <div class="hero-quote">
      <p>「autoresearch 的核心想法很简单：让系统自主运行实验，评估结果，只保留有效的改进。一个只能向前转的棘轮。」</p>
      <cite>Andrej Karpathy &mdash; 谈自主实验循环</cite>
    </div>
  </section>
</div>

<!-- ═══════════════════════════ 01 PRINCIPLES ═══════════════════════════ -->
<div class="container">
  <section class="section">
    <div class="section-num">01</div>
    <h2 class="section-title">核心原则</h2>
    <p class="section-lead">五条规则，防止优化器偏移方向、自我刷分或引入退化。</p>

    <div class="principles-grid">
      <div class="principle">
        <div class="principle-num">01</div>
        <h3>单一可编辑资产</h3>
        <p>每轮优化只针对一个 SKILL.md 文件。一次修改，一次测量，一次决策。不做跨文件编辑，避免归因模糊。</p>
      </div>
      <div class="principle">
        <div class="principle-num">02</div>
        <h3>双重评估</h3>
        <p>静态结构分析捕捉格式和完整性问题。实测执行捕捉行为退化。两者缺一不可。</p>
      </div>
      <div class="principle">
        <div class="principle-num">03</div>
        <h3>棘轮机制</h3>
        <p>提升总分的改进被 commit。降低分数的修改自动 revert。分数只能上升或持平，永远不会下降。</p>
      </div>
      <div class="principle">
        <div class="principle-num">04</div>
        <h3>独立评分</h3>
        <p>编辑 Skill 的 Agent 永远不为自己打分。由独立的子 Agent 评估输出质量，防止自我表扬偏差。</p>
      </div>
      <div class="principle principle--full">
        <div class="principle-num">05</div>
        <h3>人在回路</h3>
        <p>每个 Skill 的优化循环完成后，系统暂停。向人类展示 diff 摘要、分数变化和测试输出对比。没有明确确认，任何改动都不会生效。</p>
      </div>
    </div>
  </section>
</div>

<!-- ═══════════════════════════ 02 RUBRIC ═══════════════════════════ -->
<div class="container">
  <section class="section">
    <div class="section-num">02</div>
    <h2 class="section-title">9维度<br>评估体系</h2>
    <p class="section-lead">100分评估体系。结构维度捕捉你能看到的问题，效果维度捕捉只有运行时才能感知的问题，Meta 维度检查「不要做什么」的反例编码。</p>

    <div class="rubric-header">
      <div class="rubric-stat">
        <div class="rubric-stat-num">59</div>
        <div class="rubric-stat-label">结构<br>分值</div>
      </div>
      <div class="rubric-stat">
        <div class="rubric-stat-num rubric-stat-num--accent">35</div>
        <div class="rubric-stat-label">效果<br>分值</div>
      </div>
      <div class="rubric-stat">
        <div class="rubric-stat-num">6</div>
        <div class="rubric-stat-label">Meta<br>分值</div>
      </div>
    </div>

    <table class="rubric-table">
      <caption>结构维度 &mdash; 静态分析</caption>
      <thead>
        <tr>
          <th style="width:36px">#</th>
          <th style="width:180px">维度</th>
          <th style="width:60px">权重</th>
          <th>评分标准</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td class="dim-num">1</td>
          <td class="dim-name">Frontmatter质量</td>
          <td class="dim-weight">7</td>
          <td class="dim-desc">名称正确，描述包含功能/触发条件/使用场景，不超过1024字符，禁空话尾巴</td>
        </tr>
        <tr>
          <td class="dim-num">2</td>
          <td class="dim-name">工作流清晰度</td>
          <td class="dim-weight">12</td>
          <td class="dim-desc">步骤有编号、可执行，每步都有明确的输入/输出</td>
        </tr>
        <tr>
          <td class="dim-num">3</td>
          <td class="dim-name">失败模式编码</td>
          <td class="dim-weight">12</td>
          <td class="dim-desc">显式写出「如果 X 失败 → Y」的分支，有 fallback 路径与错误恢复</td>
        </tr>
        <tr>
          <td class="dim-num">4</td>
          <td class="dim-name">检查点设计</td>
          <td class="dim-weight">6</td>
          <td class="dim-desc">关键决策前需用户确认，检查点须显性标记（🔴/STOP/CHECKPOINT）</td>
        </tr>
        <tr>
          <td class="dim-num">5</td>
          <td class="dim-name">可执行具体性</td>
          <td class="dim-weight">18</td>
          <td class="dim-desc">无歧义，具体的参数/格式/示例，禁「视情况而定」类软化措辞</td>
        </tr>
        <tr>
          <td class="dim-num">6</td>
          <td class="dim-name">资源整合度</td>
          <td class="dim-weight">4</td>
          <td class="dim-desc">所有引用的脚本/资产路径存在且可访问</td>
        </tr>
      </tbody>
    </table>

    <table class="rubric-table">
      <caption>效果维度 &mdash; 需要实测</caption>
      <thead>
        <tr>
          <th style="width:36px">#</th>
          <th style="width:180px">维度</th>
          <th style="width:60px">权重</th>
          <th>评分标准</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td class="dim-num">7</td>
          <td class="dim-name">整体架构</td>
          <td class="dim-weight">12</td>
          <td class="dim-desc">层次清晰，无冗余或遗漏，符合生态系统约定</td>
        </tr>
        <tr>
          <td class="dim-num">8</td>
          <td class="dim-name">实测表现</td>
          <td class="dim-weight">23</td>
          <td class="dim-desc">运行2-3个测试提示词，对比启用 Skill 和 baseline 的输出质量</td>
        </tr>
      </tbody>
    </table>

    <table class="rubric-table">
      <caption>Meta-skill 维度 &mdash; 反例与黑名单</caption>
      <thead>
        <tr>
          <th style="width:36px">#</th>
          <th style="width:180px">维度</th>
          <th style="width:60px">权重</th>
          <th>评分标准</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td class="dim-num">9</td>
          <td class="dim-name">反例与黑名单</td>
          <td class="dim-weight">6</td>
          <td class="dim-desc">必须有「不要做什么」的反例清单，红灯/危险动作/反模式单独章节列出</td>
        </tr>
      </tbody>
    </table>
  </section>
</div>

<!-- ═══════════════════════════ 03 PHASES ═══════════════════════════ -->
<div class="container">
  <section class="section">
    <div class="section-num">03</div>
    <h2 class="section-title">优化循环</h2>
    <p class="section-lead">从初始化到最终报告的五个阶段。系统在每个阶段内自主运行，但在阶段之间暂停等待人类审查。</p>

    <div class="phases">
      <div class="phase">
        <div class="phase-id">
          0
          <span>初始化</span>
        </div>
        <div class="phase-body">
          <h3>范围与分支设置</h3>
          <p>确定优化范围，创建版本控制基础设施，加载历史记录。</p>
          <ol class="phase-steps">
            <li>确认范围：全部 Skill 还是用户指定子集</li>
            <li>扫描 .claude/skills/*/SKILL.md 获取目标列表</li>
            <li>创建 git 分支：auto-optimize/YYYYMMDD-HHMM</li>
            <li>初始化或加载 results.tsv 用于历史追踪</li>
          </ol>
        </div>
      </div>

      <div class="phase">
        <div class="phase-id">
          0.5
          <span>设计</span>
        </div>
        <div class="phase-body">
          <h3>测试提示词工程</h3>
          <p>在任何评分之前，先设计用于衡量效果的测试提示词。没有好的测试，优化器就是盲飞。</p>
          <ol class="phase-steps">
            <li>阅读每个 SKILL.md，理解其声明的能力</li>
            <li>为每个 Skill 设计2-3个提示词：一个正常路径，一个模糊场景</li>
            <li>保存到每个 Skill 目录下的 test-prompts.json</li>
            <li>在继续之前，将所有测试提示词提交人类审批</li>
          </ol>
        </div>
      </div>

      <div class="phase">
        <div class="phase-id">
          1
          <span>基线</span>
        </div>
        <div class="phase-body">
          <h3>全维度评分</h3>
          <p>为每个 Skill 建立起始分数。结构评分由主 Agent 完成，效果评分由独立子 Agent 完成。</p>
          <ol class="phase-steps">
            <li>阅读 SKILL.md，为维度1-7评分并附理由</li>
            <li>启动子 Agent：分别在启用和未启用 Skill 的情况下运行测试提示词</li>
            <li>对比输出，为维度8评分（如子 Agent 不可用则标记 dry_run）</li>
            <li>计算加权总分，记录到 results.tsv</li>
            <li>展示评分卡，暂停等待人类确认</li>
          </ol>
        </div>
      </div>

      <div class="phase">
        <div class="phase-id">
          2
          <span>优化</span>
        </div>
        <div class="phase-body">
          <h3>Hill-Climbing 循环</h3>
          <p>按分数从低到高处理 Skill。每轮：诊断加权短板最大的维度，提出一个针对性修复，执行，重新评分，做出决定。</p>
          <ol class="phase-steps">
            <li>找出该 Skill 加权短板最大的维度（weight × (10 − score) / 10）</li>
            <li>生成一项具体改进（改什么，为什么改，预期分数变化）</li>
            <li>编辑 SKILL.md，用结构化消息 git commit</li>
            <li>重新评分：结构由主 Agent，效果由独立子 Agent</li>
            <li>新分 > 旧分：保留。否则：git revert，进入下一个 Skill</li>
            <li>每个 Skill 完成后：展示 diff + 分数变化，等待人类确认</li>
          </ol>
        </div>
      </div>

      <div class="phase">
        <div class="phase-id">
          3
          <span>报告</span>
        </div>
        <div class="phase-body">
          <h3>总结与指标</h3>
          <p>将所有结果汇总为最终优化报告，包含优化前后分数、实验次数和关键改进。</p>
          <ol class="phase-steps">
            <li>统计总实验次数、保留次数、回滚次数和测试模式</li>
            <li>生成每个 Skill 的优化前后分数对比表</li>
            <li>列出影响最大的改进及其对应维度</li>
            <li>归档 results.tsv 供未来 baseline 参考</li>
          </ol>
        </div>
      </div>
    </div>
  </section>
</div>

<!-- ═══════════════════════════ 04 RATCHET ═══════════════════════════ -->
<div class="container">
  <section class="section">
    <div class="section-num">04</div>
    <h2 class="section-title">棘轮机制</h2>
    <p class="section-lead">分数只能上升。每轮要么改进 Skill，要么干净地回滚。不会随时间积累局部退化。</p>

    <div class="ratchet-viz">
      <div class="ratchet-step">
        <div class="ratchet-score">72</div>
        <div style="height:144px" class="ratchet-bar"></div>
        <div class="ratchet-label ratchet-label--baseline">基线</div>
        <div class="ratchet-round">轮次 0</div>
        <div class="ratchet-arrow"></div>
      </div>
      <div class="ratchet-step">
        <div class="ratchet-score">78</div>
        <div style="height:156px" class="ratchet-bar"></div>
        <div class="ratchet-label ratchet-label--keep">保留</div>
        <div class="ratchet-round">轮次 1</div>
        <div class="ratchet-arrow"></div>
      </div>
      <div class="ratchet-step">
        <div class="ratchet-score ratchet-score--revert">75</div>
        <div style="height:150px" class="ratchet-bar ratchet-bar--revert"></div>
        <div class="ratchet-label ratchet-label--revert">回滚</div>
        <div class="ratchet-round">轮次 2</div>
        <div class="ratchet-arrow"></div>
      </div>
      <div class="ratchet-step">
        <div class="ratchet-score">84</div>
        <div style="height:168px" class="ratchet-bar"></div>
        <div class="ratchet-label ratchet-label--keep">Keep</div>
        <div class="ratchet-round">轮次 3</div>
        <div class="ratchet-arrow"></div>
      </div>
      <div class="ratchet-step">
        <div class="ratchet-score">87</div>
        <div style="height:174px" class="ratchet-bar"></div>
        <div class="ratchet-label ratchet-label--keep">Keep</div>
        <div class="ratchet-round">轮次 4</div>
      </div>
    </div>
  </section>
</div>

<!-- ═══════════════════════════ 05 COMPARISON ═══════════════════════════ -->
<div class="container">
  <section class="section">
    <div class="section-num">05</div>
    <h2 class="section-title">为什么需要<br>双重评估</h2>
    <p class="section-lead">单看结构无法判断 Skill 是否真正好用。单看效果无法判断它为何失败。</p>

    <div class="comparison">
      <div class="comparison-col">
        <div class="comparison-tag">传统方法</div>
        <h3>纯结构审查</h3>
        <ul class="comparison-list">
          <li>检查 frontmatter 是否存在且格式正确</li>
          <li>验证步骤是否有编号和描述</li>
          <li>确认文件路径和引用是否有效</li>
          <li>无法检测 Skill 是否<strong>真正提升了</strong>输出质量</li>
          <li>无法检测<strong>看似正确</strong>实则产生差结果的误导性指令</li>
          <li>无法检测<strong>弊大于利</strong>的过度约束</li>
        </ul>
      </div>
      <div class="comparison-col comparison-col--highlight">
        <div class="comparison-tag">Auto Skill Optimizer</div>
        <h3>双重评估</h3>
        <ul class="comparison-list">
          <li><strong>结构评分</strong>捕捉格式、完整性和可读性问题</li>
          <li><strong>实测执行</strong>揭示真实场景下的行为影响</li>
          <li><strong>基线对比</strong>衡量 Skill 是增值还是减值</li>
          <li><strong>独立子 Agent</strong>防止自我表扬的评分偏差</li>
          <li><strong>测试提示词设计</strong>确保评估针对真实用户场景</li>
          <li><strong>Dry-run 降级</strong>在实测不可用时提供覆盖</li>
        </ul>
      </div>
    </div>
  </section>
</div>

<!-- ═══════════════════════════ 06 MAPPING ═══════════════════════════ -->
<div class="container">
  <section class="section">
    <div class="section-num">06</div>
    <h2 class="section-title">概念映射</h2>
    <p class="section-lead">autoresearch 的核心抽象如何转化为 Skill 优化。同一台机器，不同的领域。</p>

    <table class="mapping-table">
      <thead>
        <tr>
          <th style="width:220px">Autoresearch</th>
          <th style="width:220px">Skill Optimizer</th>
          <th>实现细节</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td>研究论文草稿</td>
          <td>SKILL.md 文件</td>
          <td>唯一的可编辑产物。所有改进都表现为对这一个文件的编辑。</td>
        </tr>
        <tr>
          <td>评估指标</td>
          <td>9维度评估体系</td>
          <td>跨结构（59分）、效果（35分）和 Meta（6分）的加权评分，总计100分。</td>
        </tr>
        <tr>
          <td>实验循环</td>
          <td>阶段2 hill-climbing</td>
          <td>诊断加权短板最大的维度，提出修复，执行，重新评分，保留或回滚。每个 Skill 最多3轮。</td>
        </tr>
        <tr>
          <td>版本控制</td>
          <td>Git 分支 + revert</td>
          <td>每次编辑都是一次 commit。退化通过 revert（新 commit）回滚。完整审计记录。</td>
        </tr>
        <tr>
          <td>自动化评估</td>
          <td>子 Agent 测试执行</td>
          <td>独立 Agent 分别在启用和未启用 Skill 的情况下运行测试提示词，对比输出质量。</td>
        </tr>
        <tr>
          <td>人类审查关卡</td>
          <td>阶段转换暂停</td>
          <td>系统在基线评分后和每个 Skill 优化后暂停。展示 diff + 分数变化。</td>
        </tr>
        <tr>
          <td>探索 vs 利用</td>
          <td>阶段2.5探索性重写</td>
          <td>当 hill-climbing 停滞（连续2次在第1轮就中断），提出完整的结构重写。</td>
        </tr>
        <tr>
          <td>实验日志</td>
          <td>results.tsv</td>
          <td>带时间戳的记录：commit 哈希、Skill 名称、新旧分数、保留/回滚状态、评估模式。</td>
        </tr>
      </tbody>
    </table>
  </section>
</div>

<!-- ═══════════════════════════ FOOTER ═══════════════════════════ -->
<div class="container">
  <footer class="footer">
    <div class="footer-left">Auto Skill Optimizer</div>
    <div class="footer-right">灵感源自 Karpathy autoresearch &mdash; 为 Claude Code Skill 生态而建</div>
  </footer>
</div>

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