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memory-first-historical-evidence-review

核心功能:先依托日期化记忆或 curated 摘要梳理临时时间线,定位未证实的因果缺口后,定向检索对应原始会话日志,避免大范围扫描,输出区分已验证与可能原因。典型场景:排查跨多日期的事件因果问题,尤其是早期运行的因果关联。输入为相关疑问及记忆、会话日志资源,结论需有至少两个独立佐证支撑。

nextaltair
nextaltair
热度 7.65
最近更新 2026-09-02 16:43:31
分类:数据依赖:读写文件应用场景:调试排错 / 数据处理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add memory-first-historical-evidence-review
Metadata
name
memory-first-historical-evidence-review
description
Historical debug review: read dated memory first, then narrow raw session evidence only where memory leaves a causal gap.

memory-first-historical-evidence-review

Use when answering questions about what earlier runs established, especially incident causality across multiple dates.

  1. Start with dated memory or other curated summaries for the suspected dates.
  2. Extract a provisional timeline: symptom, verified config/state, observed fallback/path, working explanation.
  3. Note which claims are still unsupported or ambiguous.
  4. Search raw session logs only for those gaps.
  5. Narrow raw-log lookup by known date, session id, or exact phrase from memory. Avoid wide scans across all archives first.
  6. If a raw log is noisy or truncated, reduce scope again instead of broadening the search.
  7. Answer from the converged evidence. Separate verified cause from likely cause.

Pitfalls:

  • Broad grep over archived session files can silently miss matches because of quoting/glob mistakes or return irrelevant/noisy hits.
  • Raw session dumps may be truncated; do not treat absence in a noisy scan as disproof.
  • Memory is a summary, not ground truth; use it to route investigation, not to invent missing evidence.

Verification:

  • Before concluding, cite at least two independent supporting artifacts, or one curated memory entry plus one raw-session excerpt for any disputed claim.
  • Confirm the final claim explains the observed symptom better than the discarded hypothesis.