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aperivue/medsci-skills91 installs

review-paper

Use when writing a literature review article (narrative, scoping PRISMA-ScR or systematic). Scaffolds a 7-part skeleton with a scope and non-overlap statement, summary-table stubs and reporting-guideline wiring, without inventing citations. Original research is /write-paper.

How do I install this agent skill?

npx skills add https://github.com/aperivue/medsci-skills --skill review-paper
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    No security issues detected. The skill provides a structured framework for drafting academic literature reviews using local templates and internal validation scripts to ensure adherence to reporting guidelines like PRISMA. It includes safeguards against citation fabrication and restricts file writing to a specific directory.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Review-Paper Skill

The review-article counterpart to write-paper (original research). For reviewing someone else's review article, use /peer-review or /self-review (the RV1-RV9 probes) instead.

Step 0 — Format + spine axis (the structure-determining choice)

  1. Confirm format with the user: narrative (SANRA) | scoping (PRISMA-ScR + JBI) | systematic (PRISMA 2020). This decides the reporting guideline and the registration path.
  2. Choose the spine axis — the single most consequential decision: organize the body by modality (e.g. 2D → 3D), by task (generation / QA / deployment), or by lifecycle stage. Every body section then follows this one axis; mixing axes is the most common structural failure.
  3. Require a scope statement + non-overlap boundary against prior/adjacent reviews — this pre-empts the reviewer's first question, "why another review on this?" (user-approval checkpoint: confirm the boundary with the user before scaffolding).

Step 1 — Scaffold the macro skeleton for the format

Load ${CLAUDE_SKILL_DIR}/references/macro_skeleton.md and write the section for the chosen format to manuscript.md in the manuscript directory, with the summary-table stubs (Step 2) and that section's figure/table legend plan. The structure depends on the format:

  • Narrative — the 7-part skeleton below.
  • Scoping / systematic — IMRaD with one Methods and one Results slot per PRISMA-ScR or PRISMA 2020 item (the reference lists them by item number). Do not use the 7-part skeleton for these: it has no place for eligibility criteria, search, selection, charting/extraction, risk of bias or synthesis methods, nor for study-selection results. The thematic body by spine axis goes inside Results → synthesis; frontiers and the evaluation-metrics critique go inside Discussion.

The narrative 7-part skeleton:

  1. Abstract — a 4-5 move version (structured for scoping/systematic).
  2. Introduction — clinical motivation → technology → scope + non-overlap block (required field, all formats) → "this review…".
  3. Background / technical principles — tight; cite once, do not re-survey the field.
  4. Thematic body by spine axis — each section ends with a summary table (stub generated to match the type, Step 2).
  5. Frontiers / what is advancing.
  6. Challenges / discussion — include an evaluation-metrics critique subsection (a required quality signal: how the field measures itself, and where those metrics mislead).
  7. Conclusion — measured. A scoping review maps the evidence; it issues no recommendation-grade language or clinical recommendations.

Every citekey must resolve to the project's verified _src/refs.bib (produced by /search-lit → /lit-sync → /verify-refs). If a claim needs a reference not yet in the library, leave a [@NEW:short-topic] placeholder and route it to /search-lit; never fabricate a DOI, author, year, or citekey.

Step 2 — Summary-table stub (matched to type)

  • Narrative / scoping: study | year | [spine-axis value] | method | key finding.
  • Systematic: PRISMA flow + a study-characteristics table + an extraction table.

The stub ships with column headers and one placeholder row. Cells (study, year, metric, finding) are filled only from sources the user supplies or that are verified; an unknown cell stays a placeholder.

Step 3 — Reporting + registration wiring

  • Scoping → PRISMA-ScR (+ JBI charting) + OSF registration.
  • Narrative → SANRA (a 6-item appraisal aid, not a reporting checklist — do not over-enforce it).
  • Systematic → PRISMA 2020 (+ PROSPERO registration).
  • If /check-reporting does not carry the chosen checklist (it bundles PRISMA-ScR and PRISMA 2020, not SANRA), track a manual gap table and flag it for the user rather than silently skipping the item.

Step 4 — QC hand-off

Run the standard manuscript QC chain, which this skill is designed to feed:

  1. /self-review — the RV1-RV9 narrative-review probes auto-activate for a review article.
  2. /check-reporting — PRISMA-ScR or PRISMA 2020 (SANRA via the Step 3 manual table).
  3. /verify-refs — every citation resolves; 0 FABRICATED / MISMATCH.
  4. /humanize — AI-pattern density below threshold.
  5. /academic-aio — discoverability pass (optional).

Convergence gate — the draft is not done until: self-review fatal = 0; verify-refs FABRICATED/MISMATCH = 0; no [@NEW:...] placeholder citations remain; humanize density < 2.0.

Guards

  • Proportionate self-citation; declare an intellectual conflict of interest when an author has contributed to the area being reviewed.
  • Write only inside the manuscript directory.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/aperivue/medsci-skills/review-paper">View review-paper on skillZs</a>