claims-extractor

Solid

Use when a review workspace has manuscript text and needs a traceable claim ledger. **Trigger**: claims extractor, extract claims, contributions, assumptions, peer review, 审稿, 主张提取. **Use when**: 审稿/评审或 evidence audit，需要把主张列表落盘并可追溯到原文位置（section/page/quote）。 **Skip if**: 没有可用的稿件/全文（例如缺少 `output/PAPER.md` 或等价文本）。 **Network**: none. **Guardrail**: 每条 claim 必须带可定位的 source pointer；区分 empirical vs conceptual claims。

Data & Documents 498 stars 39 forks Updated today

Install

View on GitHub

Quality Score: 79/100

Stars 20%
90
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
56
Issue Health 10%
50
License 10%
0
Description 5%
100

Skill Content

# Claims Extractor Transforms manuscript text into a traceable claim ledger for `paper-review`. ## Input - `output/PAPER.md` ## Output - `output/CLAIMS.md` - `output/CLAIMS.jsonl` (`review-claim.v1`, one addressable claim per line) ## Contract Each claim block must include: - claim text - type: `empirical` or `conceptual` - scope - source pointer back into `output/PAPER.md` The Markdown and JSONL files are two views of the same claim records. Downstream skills should prefer JSONL and retain Markdown fallback for older Workspaces. ## Script boundary `scripts/run.py` should: - detect claim-like sentences - normalize them into stable claim blocks - attach source pointers - separate empirical and conceptual claims Keep parsing and ranking heuristics in shared review tooling, not in the skill script. ## Acceptance - `output/CLAIMS.md` exists - `output/CLAIMS.jsonl` exists and every record has a stable `claim_id` - every claim has a source pointer - empirical and conceptual claims are separated ## Non-goals - judging whether a claim is good - generating evidence gaps - writing review prose

Details

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

Similar Skills

Semantically similar based on skill content — not just same category

Code & Development Solid

evidence-auditor

Use when `paper-review` needs a claim-by-claim evidence gap report grounded in an extracted claim ledger. **Trigger**: evidence audit, missing evidence, unsupported claims, 审稿证据审计, 证据缺口. **Use when**: `paper-review` 流程中，需要逐条检查 claim 的证据链、缺 baseline、评测薄弱点。 **Skip if**: 缺少 claims 输入（例如还没有 `output/CLAIMS.md`）。 **Network**: none. **Guardrail**: 只写“缺口/风险/下一步验证”，不要替作者补写论述或引入新主张。

498 Updated today
WILLOSCAR
AI & Automation Listed

claim-extractor

Extract falsifiable claims from a fetched source document, returning a standard `{claim, quoted_anchor, source_url, source_tier, claim_type}` schema per claim. Filters out opinions, marketing fluff, vague generalizations, and unverifiable forward-looking statements. Used by every Category 1 research skill (Obsidian-first contract) before passing claims to verify-claim, and by memory-curator when staging multi-claim documents into _inbox/. Composes on source-fetcher (the input is its content_md) and prompt-injection-guard (already applied upstream).

0 Updated 1 weeks ago
themarmack
AI & Automation Solid

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）。

498 Updated today
WILLOSCAR