القائمة
Verify each cited reference exists via web search.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Organize a paper PDF and its codebase into clean reading artifacts. Use this before any other read-* skills.
Deep extraction of all verifiable claims from a research paper. Actively proposes implicit claims, splits compound statements, and flags cross-reference inconsistencies.
Verify paper claims with evidence_type "code" against the actual codebase. Use after read-txt to check if code matches what the paper says.
Review experiment design and produce a prioritized reproduction plan. Targets claims with evidence_type "experiment" from check_claim.json. Output feeds into run-exp.
Web-search validation of citation and novelty claims from check_claim.json. Checks whether cited facts are accurate and novelty claims ("first", "pioneering") hold against published literature.
Verify theoretical claims — mathematical derivations, proofs, and formal arguments. Targets claims with evidence_type "theoretical" from check_claim.json.
| name | read-bib |
| description | Verify each cited reference exists via web search. |
| allowed-tools | Read, WebSearch |
Read the input references.json. For each entry, WebSearch its raw_text and record found or not_found.
Each entry's id, year, raw_text fields should be copied as-is into the output — do not modify them.
When status is warning or error, set quote to the URL(s) found during search (e.g. the correct arXiv/venue page) followed by a blank line and the original raw_text of the citation, so reviewers see both the candidate fix-up source and the original entry. Also include a suggest field with a concrete one-sentence fix the author can apply (e.g. "Update the year to 2025" or "Replace with the correct arXiv ID").
Input: {paper_dir}/metadata/paper/references.json
Output: {paper_dir}/reports/check_bib.json
{
"summary": { "total": 42, "pass": 38, "warning": 2, "error": 2 },
"results": [
{ "id": "ref-001", "year": "2016", "raw_text": "[1] Jun Xu, Tao Mei, Ting Yao, and Yong Rui. Msr-vtt: A large video description dataset for bridging video and language. In CVPR, pages 5288–5296, 2016.", "status": "pass" },
{ "id": "ref-005", "year": "2020", "raw_text": "[5] ...", "status": "warning", "reason": "title found but venue/year differs", "quote": "https://arxiv.org/abs/...\n\n[5] ...", "suggest": "Update the year to 2021 to match the venue listing." },
{ "id": "ref-007", "year": "2017", "raw_text": "[7] ...", "status": "error", "reason": "not found or search returned no match", "quote": "[7] ...", "suggest": "Replace with a verified citation or remove the reference." }
]
}