원클릭으로
case-file-method
Build a structured responsibility-laundering case file from a historical, political, legal, corporate, war, or AI event.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Build a structured responsibility-laundering case file from a historical, political, legal, corporate, war, or AI event.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Audit the book-level callback graph that tracks setup → payoff edges across chapters. Verifies every planted anchor has its declared downstream payoff and every payoff still has its upstream plant. Catches orphaned plants and orphaned payoffs. Reads `book/registries/callback-graph.yml`; runs book-wide when any graph chapter is rewritten. Cousin of fair-clue-audit (which covers chapter-internal recognition).
Turn approved case files into chapter architecture for serious trade nonfiction.
Diagnose a chapter against the 10 reader-experience values in rule 12 (5 core + 5 craft) and build a defect map naming which values fail, with cited prose evidence, and recommending one of the five treatment classes from rule 08. Output is `process/defect-map/<n>-<slug>.md` plus a treatment-class row appended to `book/registries/treatment-classes.yml`.
Prepare citation-ready notes for drafting, fact-checking, and legal review.
Audit chapter prose for verbose inline `[CITE:]` markers that violate rule-13's slug-only invariant. Inline `[CITE:]` brackets must carry only card slugs (separated by `;` for multi-source claims); full citation apparatus lives in the source-ledger card and is compile-generated as Chicago NB endnote. Catches the failure mode where citation metadata leaks from card to prose. Cousin to `scan-cite-density.py` (the cheap pattern-level pass); this skill is the deeper read.
Audit the book's cognitive arc — the discriminations and concepts the reader acquires chapter by chapter — against the actual prose. For each discrimination, verifies introduction, consolidation, and application in every required chapter. For each concept, verifies it is named and used. Reads `book/registries/cognitive-arc.yml`.
| name | case-file-method |
| description | Build a structured responsibility-laundering case file from a historical, political, legal, corporate, war, or AI event. |
| version | 1.0.0 |
Usable output:
Weak output:
Build a case file with this structure:
Case name:
Domain:
Dates and place:
Case type: pure scapegoat / partial scapegoat / system/object alibi / cost-bearing goat
Crisis:
Official story:
Blame container:
Actual responsibility chain:
Control:
Benefit:
Knowledge:
Preventability:
Record controller:
Cost bearer:
How the alibi hardened:
How the alibi weakened:
Best counterargument:
Evidence grade:
Sources needed:
Narrative scenes:
Book function:
Handoff owner:
Rules: