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* docs: gongfa-faqi - clarify registry counts * docs: gongfa - clarify candidate semantics and provenance * docs: gongfa - disambiguate candidate identifiers * docs: gongfa - defer composite uncertainty candidate * fix: faqi - restore auto-tmux executable modes * docs: gongfa - qualify literature synthesis candidate * docs: faqi - record pinned asset placeholder boundary * docs: gongfa - narrow retrieval audit candidate scope * docs: gongfa - defer amortized analysis pending source freeze * docs: faqi - disclose unresolved asset placeholders * docs: gongfa - qualify proof-kernel candidate scope * docs: faqi - guard pinned asset placeholders * docs: gongfa - defer causal audit without frozen scope * docs: gongfa - separate drift and OOD candidates * docs: faqi - clarify doctor placeholder false positive * docs: gongfa - separate confidence escalation * docs: gongfa - freeze ML review selection * docs: gongfa - qualify ML source support * docs: gongfa - freeze exact title matches * docs: gongfa - qualify metacognition sources * docs: gongfa - review causal feature ablation * docs: faqi - trace asset placeholder history * fix: faqi - validate asset links and license sources * docs: gongfa - record 85 principle reviews * docs: gongfa - review software engineering candidates * fix: auto-tmux - align reference audit with quick links * docs: gongfa - review software engineering entries 5-9 * docs: gongfa - review software engineering entries 10-15 * docs: gongfa - review controlled evolution loop * docs: gongfa - review programming entries 0-4 * docs: gongfa - review programming entries 5-9 * docs: gongfa - review programming entries 10-14 * docs: gongfa - review programming entries 15-17 * docs: gongfa - review problem-solving entries 0-4 * docs: faqi - record Skill Seekers CLI boundaries * docs: gongfa/faqi - continue bounded review * docs: gongfa/faqi - review information sources * docs: gongfa - review information science entries 4-5 * docs: gongfa - refine analogy candidate review * docs: gongfa/faqi - review algorithm and runtime evidence * docs: gongfa/faqi - review search methods and license scope * docs: gongfa/faqi - review state and cache semantics * docs: faqi/tmux - inventory pinned license notices * docs: gongfa - review algorithm source boundaries * fix: faqi - bind pinned license notice evidence * docs: gongfa - review machine-learning evaluation methods * docs: gongfa - review machine-learning entries 5 to 8 * docs: faqi - record oh-my-tmux logo license source * docs: faqi - reconcile catalog counts * docs: github - remove mandatory approval requirements
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# 2026-10-14 编程 Solve pack entries[5..9]有限语义复核选区
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> 本快照冻结新增字段投影、历史候选指针和有限对照。历史候选意见不因重复审阅升级为登记、评级、来源认证或效果证据。
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## 快照清单
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- recorded_at: `2026-10-14T20:17:24Z`。
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- trigger: 续审编程Solve pack entries[5..9]，确认性能剖析、静态分析与并发检测的来源支持和现有语义关联；entries[6]与[7]已有历史审阅，避免重复复制或误升状态。
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- owner: 功法元数据子域维护者。
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- retirement: 完整、可审计的候选语义交叉表承接本批结论后，本文件转只读历史依据并保留。
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- 项目审阅基线：`f6f1a9c2063bd72267db97843200ab1e7c13b59d`；registry SHA-256 `0d5b772c7e72a7122cf4b3764fdeb9c530574f6702c55026ff6297148f32e82d`。
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- Solve源仓库HEAD：`ddee69426d133253c4ef89fdeb089818f5ee5e36`；`agent/skills/workflow/modules/solve/references/packs/programming.json`工作树无差异，SHA-256 `66958c76ca33cc03b5740f463065c9c0b80b5a951b9a1e1df3c46b071862e7d5`。选区为`/entries/5..9`。
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- Solve `source-inventory.json` SHA-256 `5315782f2ee45cf9b401322d393fb8b065aab1c98b38d6d2fa0ef4098e95a06a`；捕获时在源仓库工作树中为modified，仅绑定所观察到的引用声明，不冒称其在该HEAD下已提交。
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- 历史候选JSON `.github/metadata/gongfa/source-classified-candidates-20261007.json` SHA-256 `6f3246373eb2b1d3c6d5916d42133cbf1d6d2988a2c54514bc8ea09816de70b5`；entry[6]、[7]的旧投影及意见见`documents.solve_raw.items[13..14]`和`documents.solve24_analysis.items[4]`、`items[8]`。
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- 来源边界：entries[5]、[6]引用`ref:python-debugging`及不可独立读取的`conversation://cross-domain-method-map`；entries[7..9]只引用该conversation URI。Python 3.12.15工具文档的冻结来源及SHA见前批`source-selected-programming-entries-0-to-4-20261014.txt`；本轮不重复复制原网页或补写pack的`source_refs`。
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## 有限语义对照
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| Solve条目 | 与现有内容/旧意见的关系 | 来源判断与处理 |
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| `psoa.programming.profiling` | 性能剖析是发现热点的测量操作；已登记`gongfa-performance-by-measurement`已把profiling作为性能定位手段。它可在具体任务中被选择，不因操作字段完整就形成另一方法。 | Python 3.12.15文档支持profilers用于分析执行时间和定位瓶颈；未证明pack的完整“测量→假设→修改→复测”契约、优化有效性或跨token成本适用性。作为测量方法内的工具操作，不新增登记。 |
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| `psoa.programming.minimal-reproduction` | 旧快照已判为与`gongfa-abductive-debugging`相邻而非同义：候选原因/区分实验与保持同一故障的输入缩减是不同工作。旧意见“优先候选”、暂定`di-initial`、medium仅是历史编者判断。 | 旧条目中的“自动”和“最小”不是已实现自动化或全局最小保证；Python调试文档不支持输入缩减流程，conversation来源仍不可复核。保留旧历史候选，不重复制表或升级。 |
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| `psoa.programming.fuzzing` | 旧意见将其与`gongfa-evidence-triangulation`区分：后者把fuzz作为证据组件，本条描述输入生成/变异、异常捕获、缩减和回归序列。 | 唯一引用为不可独立复核的conversation URI；稳定oracle、隔离和可重放约束不能替代来源/覆盖合同。保留旧“优先候选”意见，不据此登记、授权执行或主张效果。 |
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| `psoa.programming.static-analysis` | 静态分析可包含多种工具和规则检查；与已登记总体作业流的检查器步骤相邻，当前没有具体语言、规则集或诊断处置合同来界定独立身份。 | 仅有conversation来源，没有可复核的固定原文；不把“AST/类型/数据流”标签当成工具运行或检出效果证据。留待来源绑定与范围收窄，不登记。 |
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| `psoa.programming.race-detection` | 关注共享状态和并发交错，但当前步骤是概括性描述；没有定义具体调度模型、冲突判据或检测工具的契约。 | 仅有conversation来源，没有可复核的固定版本；不运行任何被审工具或并发工作负载，不据此宣称检出覆盖。留待来源核验，不登记或评级。 |
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## 冻结字段投影
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> 以下冻结新增选区entries[5]、[8]、[9]的字段：`id/version/kind/origin/domain/status/name_zh/summary/core_question/operation/applicability.when/not_when/source_refs/semantics.preconditions/procedure或steps/evidence_required/failure_modes`。未列字段不作为本轮判断依据；列表顺序按原pack保留。entries[6]、[7]已存在于上列历史快照，沿用原投影与意见。
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### entry[5] — `psoa.programming.profiling`
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```text
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kind=OperatorSpec; version=1.0.0; origin=source; domain=programming; status=experimental; name_zh=性能剖析
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summary=性能剖析：Measure before optimize，禁止凭感觉优化。
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core_question=真正的资源热点在哪里？
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operation=测量资源 → 定位热点 → 形成优化假设 → 修改 → 复测
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when=[存在时延、CPU、内存、I/O 或 token 成本问题。]
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not_when=[没有代表性负载或测量噪声大于差异。]
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source_refs=[ref:user-cross-domain-map, ref:python-debugging]
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preconditions=[存在时延、CPU、内存、I/O 或 token 成本问题。]
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procedure=[测量资源；定位热点；形成优化假设；修改；复测]
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evidence_required=[最小复现、运行输出、trace/profile、静态诊断、失败与回归结果。]
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failure_modes=[没有代表性负载或测量噪声大于差异。；过程产物不足以支持声明的效果。]
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```
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### entry[8] — `psoa.programming.static-analysis`
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```text
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kind=OperatorSpec; version=1.0.0; origin=source; domain=programming; status=experimental; name_zh=静态分析
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summary=静态分析：写完代码后进入 compiler、linter 和 type-check loop。
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core_question=不运行程序能否发现结构、类型或数据流问题？
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operation=解析 AST/类型/数据流 → 应用规则 → 产生诊断 → 分级复核
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when=[语言或配置有成熟静态分析器。]
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not_when=[规则误报无法控制，或目标行为只能运行时观察。]
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source_refs=[ref:user-cross-domain-map]
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preconditions=[语言或配置有成熟静态分析器。]
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procedure=[解析 AST/类型/数据流；应用规则；产生诊断；分级复核]
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evidence_required=[最小复现、运行输出、trace/profile、静态诊断、失败与回归结果。]
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failure_modes=[规则误报无法控制，或目标行为只能运行时观察。；过程产物不足以支持声明的效果。]
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```
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### entry[9] — `psoa.programming.race-detection`
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```text
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kind=MethodSpec; version=1.0.0; origin=source; domain=programming; status=experimental; name_zh=并发检测
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summary=并发检测：检查 multi-agent shared-state 的竞争、丢更新和次序依赖。
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core_question=并发 Bug 是否只在特定交错次序出现？
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operation=对并发访问插桩 → 施加调度变化 → 检测冲突 → 固定复现 → 回归
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when=[存在共享可变状态、异步执行或并发访问。]
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not_when=[没有隔离环境，检测会造成不可接受开销或误判。]
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source_refs=[ref:user-cross-domain-map]
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preconditions=[存在共享可变状态、异步执行或并发访问。]
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steps=[1 对并发访问插桩；2 施加调度变化；3 检测冲突；4 固定复现；5 回归]
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evidence_required=[最小复现、运行输出、trace/profile、静态诊断、失败与回归结果。]
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failure_modes=[没有隔离环境，检测会造成不可接受开销或误判。；步骤之间的数据、控制或验证依赖未满足。]
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```
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## 范围与结论
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本轮只核对programming pack entries[5..9]、已登记`gongfa-performance-by-measurement`及指定历史候选；entries[6]、[7]沿用旧投影/意见。没有扫描全部79条登记或410条历史候选，不构成556→410全量语义去重；其余programming条目未审。未修改`registry.json`、`catalog.md`、`catalog.xlsx`或`catalog-sources.json`，不新增身份、候选初评或正式评级，不证明效果、许可或独立领域审查。
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