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Workflow Platform Differential Discovery Deepdive

ASecurity

Use when 深钻已选定的单个用例,贯通性能、JIT、ISA/微架构证据并验证优化价值。

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Added 9/20/2026
researchperformance

Security Analysis

A100/100

Scanned 9/20/2026

Install to Claude Code

$npx -y skills add sisibeloved/cpython-optimize-skill --skill workflow-platform-differential-discovery-deepdive --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: workflow-platform-differential-discovery-deepdive
description: Use when 深钻已选定的单个用例,贯通性能、JIT、ISA/微架构证据并验证优化价值。
---

# Platform Differential Discovery Deepdive Workflow

## 定位

按用例深钻的端到端剧本。输入是单个用例(来自粗筛 `workflow-platform-differential-discovery` 的候选用例清单,或用户直指),产物是单用例证据表 + 备选优化项。与粗筛 workflow 是流水线关系但相互独立——用户也可跳过粗筛直接指一个用例深钻。

## Agent 分派

下表按当前证据选择所需阶段,已有匹配产物可复用;Agent 列是职责,可由主 Agent 顺序承担,仅在宿主允许且有独立工作时委派。

| 阶段 | 对应用户流程步骤 | Agent | 技能 | Gate |
|------|-----------------|-------|------|------|
| 0 选例 | ① 先钻哪个用例 | `cinderx-orchestrator` | 读粗筛清单或用户直指 | 用例已锁定,实验轴齐全 |
| 1 环境确认 | — | `cinderx-environment-verifier` | `cinderx-env-validate` | 双平台环境可复用 |
| E1 性能基线 | ② 总性能数据 | `pyperformance-benchmark-analyst` | `pyperformance-result-compare` | 差距 > 噪声带,置信区间不含 0 |
| E2 用例画像 | ③ 用例内容 + autojit 函数形状 | `cinderx-jit-analyst` | `cinderx-hir-lir-analyze` | 函数形状与 perf 热点吻合 |
| E3 HIR 分布 | ④ HIR 分布 | `cinderx-jit-analyst` | `cinderx-hir-dump`、`cinderx-hir-lir-analyze` | 差异点定位到节点级 |
| E4 LIR + wall clock | ⑤ LIR 分析,含调用数与 wall clock | `cinderx-jit-analyst` | `cinderx-hir-lir-analyze` | wall clock 拆解与 LIR 段对齐 |
| E5 差异点 | ⑥ 差异点(bb 级或单条机器码级) | `cinderx-jit-analyst` | `cinderx-hir-lir-analyze` | 双平台指令逐条对齐,差异序列可枚举 |
| E6 根因下钻 | ⑦ 拆解根因到 ISA/指令集/微架构/硬件 | `cinderx-evidence-analyst` | `cinderx-evidence-table`、`cinderx-isa-microarch-compare` | 根因落到 ISA/微架构/硬件,证据闭环(含采样可用性探测) |
| E7 优化方向 | ⑧ 优化方向 | `cinderx-evidence-analyst` | `cinderx-evidence-table` | 策略 ↔ 根因一一对应 |
| E8 穿刺(跑) | ⑨ 穿刺 | `cinderx-orchestrator` → `pyperformance-candidate-runner` | `cinderx-ab-run-slot`、`pyperformance-worker-run` | 隔离满足、可重复 |
| E8 穿刺(判读) | ⑨ 穿刺数据可信度 | `cinderx-evidence-analyst` | `cinderx-evidence-table` | 收益落噪声带外,证据表签发可信度 |
| E9 优化价值 | ⑩ 备选优化项 | `cinderx-evidence-analyst` | `cinderx-evidence-table`、`cinderx-optimization-report` | 收益/成本均有数据支撑 |

## Gate

E1–E5 是证据采集(贴事实),E6–E9 是收口判读(下判断),分界线在 E6。阶段 Gate 不满足时,补齐证据再作依赖它的判断;独立证据可继续采集,不因缺口暂停整个任务:

- evidence-analyst 在 E6 接手时拿到 E1–E5 证据,填入证据表前 5 段(或标记 `evidence_gap` 要求补),再推进 E6–E9。
- evidence-analyst 在 E6 有权回退要求 E3–E5 补证据(如指令没对齐回到 E5)。
- E8 分别记录穿刺跑分与可信度判读;可以由同一 Agent 顺序完成,但不能用已执行跑分替代隔离、可重复性和噪声判断。

有了足够深层的根因(E6),才不被表面原因迷惑;有了优化方向(E7),才进入穿刺(E8);穿刺数据可信,才判定优化价值(E9),产出最终备选优化项。

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