Agent skill

claim-evidence-matrix

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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Install this agent skill to your Project

npx add-skill https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claim-evidence-matrix

SKILL.md

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

  • python .codex/skills/claim-evidence-matrix/scripts/run.py --help
  • python .codex/skills/claim-evidence-matrix/scripts/run.py --workspace <workspace_dir>

All Options

  • See --help (this helper is intentionally minimal)

Examples

  • Generate a first-pass matrix, then refine manually:
    • Run the helper once, then refine outline/claim_evidence_matrix.md by tightening claims and adding caveats when evidence is abstract-level.

Notes

  • The helper generates a baseline matrix (claims + evidence) and never overwrites non-placeholder work; in pipeline.py --strict it will be blocked only if placeholder markers remain.

Troubleshooting

Issue: claims are generic or read like outline boilerplate

Fix:

  • Tighten each claim to a falsifiable statement and add an explicit caveat if evidence is abstract-only.

Issue: you cannot add [@BibKey] because keys are missing

Fix:

  • Run citation-verifier to generate citations/ref.bib, then use the produced keys in the matrix.

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