Menu
学术降重的真人写作实践绑定门。用于把每个 suspect 段落绑定到 A-code、写作功能和具体真人实践卡，生成可执行改写处方。触发关键词：真人写法锚点、实践卡绑定、anchor binding、rewrite prescription、A-code 锚点。
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
| name | deweight-human-anchor-bind |
| description | 学术降重的真人写作实践绑定门。用于把每个 suspect 段落绑定到 A-code、写作功能和具体真人实践卡，生成可执行改写处方。触发关键词：真人写法锚点、实践卡绑定、anchor binding、rewrite prescription、A-code 锚点。 |
防止模型从零凭感觉改写。每个待改段落必须先绑定真人写作实践卡。
../../_shared/references/human-writing-practice-cards/00_A1-A39_实践卡矩阵.md../../_shared/references/human-writing-practice-cards/00_写作功能_实践卡矩阵.md../../_shared/references/human-writing-practice-cards/*/*.md../../_shared/references/rewrite-prescription-rubric.md../../_shared/references/real-example-index.md../../_shared/references/anchor-db-schema.md../../_shared/references/anchor-curation-review-gate.md../../_shared/assets/academic_deweight_anchors.sqlite../../_shared/scripts/query_anchor_db.py../../_shared/scripts/review_anchor_candidates.py../../_shared/references/templates/rewrite-prescription-template.md../../_shared/scripts/check_rewrite_prescription.pydeweight-intake-anchor.deweight-coverage-scan.For each suspect paragraph:
paragraph_id:
semantic_anchor:
writing_function:
hit_modes:
human_anchor:
a_code_cards:
function_cards:
paper_practice_cards:
source_anchor_origin:
human_anchor_evidence:
quote_exact:
source_locator:
source_decision:
observed_human_move:
why_this_quote_fits_user_paragraph:
transferable_structure:
non_transferable_surface:
adaptation_plan:
rewrite_operation:
delete:
keep:
restructure_as:
evidence_boundary:
sentence_rhythm:
citation_number_policy:
forbidden:
- no new fact
- no claim upgrade
- no citation or number drift
- no OCR/MinerU noise copying
verification_focus:
A valid practice card must include:
sourcelocationlanguagewriting_functionquote or quote_shortstructure or structure_skeletonanti_ai_modesreuse_rule or rewrite_recipeboundaryRuntime cards currently use the real-paper card fields documented in real-example-index.md; do not require nonexistent fields if an equivalent field is present.
Portable DB entries with source_slug beginning corpus- are mechanically extracted candidates until a curator reviews them. Before binding one of these entries as human_anchor, check anchor-curation-review-gate.md and require an anchor_review_decisions row with:
decision: keep
If the candidate is unreviewed, pending, rejected, or marked needs_source_check, return:
blocked: unreviewed_human_anchor
paragraph_id:
candidate_anchor:
required_action: curator review must mark decision=keep before rewrite binding
negative_candidate rows are counterexamples only. They preserve ai_judgement="no, style-only" and must never be used as positive practice cards.
Binding must put the real human source wording into the prescription context. Do not bind from an abstract label alone.
For every bound suspect paragraph, include:
quote_exact: the original human source excerpt that the model should read before rewriting.source_locator: file/card/DB locator for the quote.source_decision: runtime_card, curated_anchor, or keep for reviewed corpus anchors.observed_human_move: what the quoted author actually does in the paragraph.why_this_quote_fits_user_paragraph: why the user's paragraph has the same writing problem.transferable_structure: the writing move to imitate.non_transferable_surface: words, entities, data, examples, and topic-specific phrasing that must not be copied.adaptation_plan: how to move from the user's facts to a rewritten paragraph.This is not optional analysis. It is the context bridge that prevents "A-code template rewriting". If no real quote can be shown, return:
blocked: missing_human_quote_evidence
paragraph_id:
needed_quote:
If no suitable card exists, return:
blocked: missing_human_anchor
paragraph_id:
needed_anchor:
Do not invent a card during rewrite.
Before handoff to rewrite, the prescription should pass:
python3 ../../_shared/scripts/check_rewrite_prescription.py <rewrite-prescription.md>
For newly ingested corpus batches, initialize review rows before using candidates:
python3 ../../_shared/scripts/review_anchor_candidates.py ../../_shared/assets/academic_deweight_anchors.sqlite --sync-pending --batch corpus-20260505 --summary
学术降重的锚点约束改写门。只根据 Semantic Anchor、Pattern Coverage Matrix 和真人实践卡绑定处方改写 suspect 段；无绑定不改写。触发关键词：按锚点改写、处方式改写、anchor-bound rewrite、去 AI 改写、论文段落改写。
学术降重的全量 AI 模式扫描门。长文必须启用 subagent 并行隔离扫描，生成 Pattern Coverage Matrix，确保每段都有 clean/suspect/format-exempt 状态和 A-code 证据。触发关键词：长文扫描、模式门控、Pattern Coverage Matrix、A-code 扫描、反漏检、母骨架诊断、subagent 并行扫描。
学术降重的输入锚定门。用于生成 Integrity Snapshot 与 Semantic Anchor，锁定术语、引用、数字、公式、核心命题、段落功能和上下文依赖。触发关键词：文意锚定、Integrity Snapshot、Semantic Anchor、降重前锚定、不可变 token。
学术降重的残留验收门。用于改写后复扫原 A-code 是否下降、新 A-code 是否冒出、Semantic Anchor 是否漂移、不可变 token 是否漂移。触发关键词：残留验收、Residual AI Gate、改后复扫、文意漂移检查、降重验证。
学术降重主编排器。用于论文、学位论文、基金文本、技术报告的去 AI 味/降重流程；按短文本或长文路线强制执行文意锚定、全量模式扫描、真人写作实践卡绑定、锚点约束改写和残留验收。触发关键词：学术降重、论文降重、去 AI 味、AIGC 检测、academic deweight、母骨架诊断、长文扫描、真人写法锚点。不用于个人口语化改写（那是 deweight-suite:ai-deweight-personal）。