claim-evidence-matrix
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Original
English🇨🇳
Translation
ChineseClaim–Evidence Matrix
主张-证据矩阵(Claim–Evidence Matrix)
Make the survey’s claims explicit and auditable before writing prose.
This should stay bullets-only (NO PROSE). The goal is to make later writing easy and to prevent “template prose” from sneaking in.
在撰写正式文稿(prose)之前,先明确调查的主张并确保其可核查。
内容需仅使用项目符号(禁止正式文稿)。目标是让后续写作更轻松,避免“模板化文稿”混入。
Inputs
输入文件
outline/outline.ymlpapers/paper_notes.jsonl- Optional:
outline/mapping.tsv
outline/outline.ymlpapers/paper_notes.jsonl- 可选:
outline/mapping.tsv
Output
输出文件
outline/claim_evidence_matrix.md
outline/claim_evidence_matrix.md
Workflow (heuristic)
工作流程(启发式)
Uses: , .
outline/outline.ymloutline/mapping.tsv- For each subsection, write 1–3 claims that are:
- specific (mechanism / assumption / empirical finding)
- falsifiable (“X reduces tool errors under Y evaluation”, not “X is important”)
- For each claim, list ≥2 evidence sources:
- prefer different styles of evidence (method paper + eval/benchmark paper, or two competing approaches)
- Keep it tight: claim → evidence → (optional) caveat/limitations.
- If evidence is weak or only abstract-level, say so explicitly (don’t overclaim).
- If exists in
bibkey, includepapers/paper_notes.jsonlnext to evidence items to make later prose/LaTeX conversion smoother.[@BibKey]
使用文件:、
outline/outline.ymloutline/mapping.tsv- 针对每个小节,撰写1-3个符合以下要求的claim:
- 具体明确(涉及机制/假设/实证发现)
- 可证伪(例如“在Y评估标准下X可减少工具错误”,而非“X很重要”)
- 每个claim需列出至少2个证据来源:
- 优先选择不同类型的证据(如方法论文 + 评估/基准论文,或两种竞争方案)
- 结构简洁:claim → 证据 →(可选)注意事项/局限性
- 若证据力度较弱或仅为摘要层面,需明确说明(避免过度主张)
- 若中存在
papers/paper_notes.jsonl,请在证据项旁标注bibkey,以便后续更顺畅地转换为正式文稿/LaTeX格式[@BibKey]
Quality checklist
质量检查清单
- Every subsection has ≥1 claim.
- Each claim lists ≥2 evidence sources (or an explicit exception).
- Claims are not copy-pasted templates (avoid “围绕…总结…” boilerplate).
- 每个小节至少包含1个claim
- 每个claim列出至少2个证据来源(或明确说明例外)
- claim并非复制粘贴的模板(避免“围绕…总结…”这类套话)
Helper script (optional)
辅助脚本(可选)
Quick Start
快速开始
python .codex/skills/claim-evidence-matrix/scripts/run.py --helppython .codex/skills/claim-evidence-matrix/scripts/run.py --workspace <workspace_dir>
python .codex/skills/claim-evidence-matrix/scripts/run.py --helppython .codex/skills/claim-evidence-matrix/scripts/run.py --workspace <workspace_dir>
All Options
所有选项
- See (this helper is intentionally minimal)
--help
- 查看(本辅助脚本设计得尽量简洁)
--help
Examples
示例
- Generate a first-pass matrix, then refine manually:
- Run the helper once, then refine by tightening claims and adding caveats when evidence is abstract-level.
outline/claim_evidence_matrix.md
- Run the helper once, then refine
- 先生成初稿矩阵,再手动优化:
- 运行一次辅助脚本,然后通过细化claim、为摘要层面的证据添加注意事项来优化
outline/claim_evidence_matrix.md
- 运行一次辅助脚本,然后通过细化claim、为摘要层面的证据添加注意事项来优化
Notes
注意事项
- The helper generates a baseline matrix (claims + evidence) and never overwrites non-placeholder work; in it will be blocked only if placeholder markers remain.
pipeline.py --strict
- 辅助脚本会生成基础矩阵(claim + 证据),且绝不会覆盖非占位符内容;在模式下,仅当存在占位符标记时才会被阻止
pipeline.py --strict
Troubleshooting
问题排查
Issue: claims are generic or read like outline boilerplate
问题:claim过于通用或类似大纲套话
Fix:
- Tighten each claim to a falsifiable statement and add an explicit caveat if evidence is abstract-only.
解决方法:
- 将每个claim细化为可证伪的表述,若证据仅为摘要层面,需添加明确的注意事项
Issue: you cannot add [@BibKey]
because keys are missing
[@BibKey]问题:因缺少键值无法添加[@BibKey]
[@BibKey]Fix:
- Run to generate
citation-verifier, then use the produced keys in the matrix.citations/ref.bib
解决方法:
- 运行生成
citation-verifier,然后在矩阵中使用生成的键值citations/ref.bib