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Paper review

Skill ajbarea/techne/plugins/techne/skills/paper-review

Nine Claude skills for multi-repo workflows: audit builds, tame CI, sync docs↔code, and keep sister repos in lockstep.

Install
npx -y skills add ajbarea/techne --skill paper-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when a draft research paper needs a pre-submission novelty and reviewer pass — whether its contributions are actually new, what related work it misses, whether its claims hold up, and whether it overlaps a lab or co-author line that must be disclosed. Triggers include "review my paper for novelty", "is this contribution novel", "novelty check before submitting", "what related work am I missing", "verify my citations are real", "paper-review <name>".

SKILL.md

6.8 KB, as published. Nobody here has run it

Paper Review

Overview

A pre-submission novelty + reviewer pass that grounds every judgment in a retrieved paper. Naive LLM review asserts novelty from memory and invents citations; this skill retrieves real prior work, quotes it, and cross-checks the draft's bibliography — then surfaces (without adjudicating) any overlap with a lab or co-author line that has to be disclosed.

Core principle: a novelty claim is only as good as the paper it is checked against. Every verdict cites a record retrieved this run with a verbatim snippet, or it is marked unverified — the analogue of techne:paper's "never hand-type a result number".

When to use

  • A first-author draft is approaching submission and needs a distinctness + related-work check.
  • "Review <name> for novelty", "what am I missing", "is C2 actually new".
  • NOT for copy-editing prose; NOT for a paper with no stated contributions yet (scaffold first with techne:paper).

Inputs

  • <name> — the paper directory under papers/ (e.g. velocity-fl-systems).
  • --from <repo> (optional) — the source code repo; grounds quantitative claims against its harvest output.

Config

Read ## paper-review from <repo>/.claude/skill-context.md: lab_line (overlap source of truth, default LINEAGE.md), retrieval (default OpenAlex + web; Semantic Scholar only if S2_API_KEY is set), mailto (OpenAlex polite pool, default git config user.email), report (default papers/<name>/novelty-review.md). Sensible defaults if absent.

Procedure

Refuse if papers/<name>/ does not exist. Locate main.tex and its \input files. Then run a mandatory citation-integrity gate, then OpenNovelty's four-phase pipeline (arXiv 2601.01576):

  1. Citation integrity (MANDATORY — do this first). Before assessing novelty, verify the draft's own citations are real. Extract every \cite key and its references.bib entry; verify each against an authoritative record — arXiv ids via the arXiv API, DOIs / venues via OpenAlex or DOI content-negotiation. See citation-verify. Confirm the id/DOI resolves to the same paper (title match), with correct authors and year, and read the abstract to check any claim the draft makes about that work ("parameter-free", "first to"). A fabricated id, a mismatched title, or an unsupported claim-about-a-paper is a stop-ship finding — fix or flag it before anything else. A single wrong citation sinks the paper.

  2. Extract claims. Parse main.tex for the title, abstract, and stated contributions (the % (C1) … or \item list after "Our contributions" / "In this paper"). Collect flag-claims: first, novel, outperforms, state-of-the-art, and any / N% number. Show the extracted contribution list to the user to confirm or edit before retrieving — the claims drive everything downstream.

  3. Retrieve. Per contribution, build a focused query from its noun phrases and search OpenAlex; collect {title, year, DOI, citations, abstract}. Rank by relevance, then citation count; web-search fills gaps. Log every query. See retrieval recipes. Only derived keyword queries leave the machine — never the paper text (drafts are private, often double-blind).

  4. Compare — each contribution against its top candidates. Ground every judgment in a verbatim snippet from the retrieved abstract. Classify: novel / incremental / overlaps-with [cite]. A verdict with no retrieved record + snippet is unverified, never a confident assertion.

  5. Synthesize into the configured report from the template:

    • §0 Citation integrity — each cited work → verified (source) / mismatch-fixed / stop-ship; stop-ship findings first. No fabricated or mischaracterized citations.
    • §1 Novelty — per contribution: verdict + closest prior work (cited + snippet) + what is distinct.
    • §2 Related-work gaps — retrieved papers absent from references.bib (cross-check DOIs and titles per the recipe). The closely-related work the author overlooked.
    • §3 Claim-support — each flag-claim → supported / unsupported / overclaim. First-ness from retrieval; quantitative claims against the --from repo's harvest output (else flag "verify against source").
    • §4 Lab-overlap — surface, do not adjudicate. Parse lab_line; list adjacent lab papers and which draft claims overlap; emit the COPE disclosure checklist. Never render a too-close / go-no-go verdict — that boundary is the author's and advisor's to agree.
    • § Provenance — every query and the records it returned, re-runnable.

Report the path + a one-line summary (N contributions, M novel / K overlaps, P uncited gaps, lab-overlap: needs-discussion). Never edit the paper — this pass is advisory.

Common mistakes

  • Trusting the draft's existing citations. Verify them too (§0) — a seed bib or a recalled citation can be fabricated or mischaracterized. arXiv id → arXiv API; venue → OpenAlex / DOI; a claim about a paper → its abstract. A single wrong citation sinks the paper.
  • Asserting novelty from memory. The failure this skill exists to stop. No verdict without a retrieved record + a quoted snippet logged in § Provenance.
  • Inventing or half-remembering a citation. A fabricated reference is worse than none. If a search did not return it, do not cite it.
  • Eyeballing the bibliography. §2 gaps come from parsing references.bib (DOIs + titles) and comparing to the retrieved set — not from guessing what is already cited.
  • Adjudicating the lab boundary. §4 surfaces adjacency + the disclosure checklist and stops. Scoring it go/no-go usurps a human agreement.
  • Relying on keyless Semantic Scholar. It returns 429. OpenAlex is primary; S2 only with a key.

Why this skill is careful

The output is one advisory artifact — novelty-review.md — and it never touches the draft. Its value is that every line can be checked: a cited paper, a quoted snippet, a logged query. Sibling of techne:paper, which scaffolds the draft this one reviews.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.