claim-evidence-matrix

Solid

Build a section-by-section claim–evidence matrix (`outline/claim_evidence_matrix.md`) from the outline and paper notes. **Trigger**: claim–evidence matrix, evidence mapping, 证据矩阵, 主张-证据对齐. **Use when**: 写 prose 之前需要把每个小节的可检验主张与证据来源显式化(outline + paper notes 已就绪)。 **Skip if**: 缺少 `outline/outline.yml` 或 `papers/paper_notes.jsonl`。 **Network**: none. **Guardrail**: bullets-only(NO PROSE);每个 claim 至少 2 个证据来源(或显式说明例外)。

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Quality Score: 81/100

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90
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100
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70
Documentation 15%
100
Issue Health 10%
50
License 10%
0
Description 5%
100

Skill Content

# 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. ## Inputs - `outline/outline.yml` - `papers/paper_notes.jsonl` - Optional: `outline/mapping.tsv` ## Output - `outline/claim_evidence_matrix.md` ## Workflow (heuristic) Uses: `outline/outline.yml`, `outline/mapping.tsv`. 1. 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”) 2. For each claim, list ≥2 evidence sources: - prefer different styles of evidence (method paper + eval/benchmark paper, or two competing approaches) 3. Keep it tight: claim → evidence → (optional) caveat/limitations. 4. If evidence is weak or only abstract-level, say so explicitly (don’t overclaim). 5. If `bibkey` exists in `papers/paper_notes.jsonl`, include `[@BibKey]` next to evidence items to make later prose/LaTeX conversion smoother. ## Quality checklist - [ ] 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). ## Helper script (optional) ### Quick Start - `uv run python .codex/skills/claim-evidence-matrix/scripts/run.py --help` - `uv run python .codex/skills/claim-evidence-matrix/scripts/run.py...

Details

Author
WILLOSCAR
Repository
WILLOSCAR/research-units-pipeline-skills
Created
7 months ago
Last Updated
today
Language
Python
License
None

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