Academic Research Skills for Claude Code


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A comprehensive suite of Claude Code skills for academic research, covering the full pipeline from research to publication.

Install in 30 seconds (Claude Code CLI / VS Code / JetBrains, v3.7.0+):

/plugin marketplace add Imbad0202/academic-research-skills
/plugin install academic-research-skills

Then try /ars-plan to walk through your paper structure via Socratic dialogue, or jump to Quick install for prerequisites and the traditional symlink flow.

> AI is your copilot, not the pilot. This tool won't write your paper for you. It handles the grunt work — hunting down references, formatting citations, verifying data, checking logical consistency — so you can focus on the parts that actually require your brain: defining the question, choosing the method, interpreting what the data means, and writing the sentence after "I argue that."
>
> Unlike a humanizer, this tool doesn't help you hide the fact that you used AI. It helps you write better. Style Calibration learns your voice from past work. Writing Quality Check catches the patterns that make prose feel machine-generated. The goal is quality, not cheating.

Why human-in-the-loop, not full automation?

Lu et al. (2026, Nature 651:914-919) built The AI Scientist — the first fully autonomous AI research system to publish a paper through blind peer review at a top-tier ML venue (ICLR 2025 workshop, score 6.33/10 vs workshop average 4.87). Their Limitations section enumerates the failure modes that any fully-autonomous AI research pipeline inherits: implementation bugs, hallucinated results, shortcut reliance, bug-as-insight reframing, methodology fabrication, frame-lock, citation hallucinations.

ARS is built on the premise that a human researcher augmented by AI avoids these failure modes better than either alone. Stage 2.5 and Stage 4.5 integrity gates run a 7-mode blocking checklist (see <code class="ra0-md-code">academic-pipeline/references/ai_research_failure_modes.md</code>); the reviewer offers an opt-in calibration mode that measures its own FNR/FPR against a user-supplied gold set.

Zhao et al. (2026-05) audited 111M references across 2.5M papers on arXiv, bioRxiv, SSRN, and PMC. Their conservative estimate is 146,932 hallucinated citations for 2025 alone, with an observed mid-2024 inflection; for the bioRxiv-to-PMC pairing they report 85.3% preprint-to-published persistence. The paper describes "real citations deployed to support claims the cited references do not actually make" as an open challenge. ARS v3.7.1 added trust-chain frontmatter for source provenance; v3.7.3 added locator infrastructure (three-layer citation anchors) for future claim-level audits and surfaces advisory risk signals at cite time (ARS labels the claim-faithfulness gap internally as "L3"; this is ARS terminology, not the paper's). v3.7.x is motivated by Zhao et al.'s corpus-scale findings; corpus-scale evaluation of ARS itself remains future work.

v3.8 closes the second half of the L3 gap. v3.7.3 made every citation carry a locator anchor; v3.8 adds an opt-in audit pass (ARS_CLAIM_AUDIT=1) that fetches the cited source against each anchor and judges whether the claim is actually supported. Five new HIGH-WARN classes (claim-not-supported, negative-constraint-violation, fabricated-reference, anchorless, constraint-violation-uncited) gate-refuse output through the formatter terminal hard gate. Calibration is shipped as a 20-tuple gold set with FNR<0.15 + FPR Pipeline ends with Stage 6: Process Summary — auto-generates a paper creation process record with 6-dimension Collaboration Quality Evaluation (1–100 scoring).

Supported Languages

• Traditional Chinese (繁體中文) — default when user writes in Chinese
• English — default when user writes in English
• Bilingual abstracts (Chinese + English) for academic papers

> Using a different language? Socratic mode (deep-research) and Plan mode (academic-paper) use intent-based activation — they detect the meaning of your request, not specific keywords. This means they work in any language without modification.
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> However, the general Trigger Keywords section (which determines whether the skill is activated at all) still lists English and Traditional Chinese keywords. If you find the skill isn't activating reliably in your language, you can add your language's keywords to the ### Trigger Keywords section in each SKILL.md file to improve matching confidence.

Supported Citation Formats

• APA 7.0 (default, including Chinese citation rules)
• Chicago (Notes & Author-Date)
• MLA
• IEEE
• Vancouver

Supported Paper Structures

• IMRaD (empirical research)
• Thematic Literature Review
• Theoretical Analysis
• Case Study
• Policy Brief
• Conference Paper

Skill Details

Per-agent responsibilities and per-stage artifacts now live in <code class="ra0-md-code">docs/ARCHITECTURE.md</code>. Version numbers are anchored here so release metadata stays in one place.

Deep Research (v2.11.0)

13-agent research team. Modes: full, quick, review, lit-review, three-way-scan, fact-check, socratic, systematic-review. Full agent roster and artifacts: see ARCHITECTURE.md §3.

Academic Paper (v3.2.0)

12-agent paper writing pipeline. Modes: full, plan, outline-only, revision, revision-coach, abstract-only, lit-review, format-convert, citation-check, disclosure, rebuttal-audit. Output: MD + DOCX (via Pandoc when available) + LaTeX (APA 7.0 apa7 class / IEEE / Chicago) → PDF via tectonic. Full agent roster and per-phase responsibilities: see ARCHITECTURE.md §3.

Academic Paper Reviewer (v1.10.0)

7-agent multi-perspective review with 0-100 quality rubrics. Modes: full, re-review, quick, methodology-focus, guided, calibration. Decision mapping: ≥80 Accept, 65-79 Minor Revision, 50-64 Major Revision, Added: three advisory-or-opt-in integrity layers plus a launcher fix. Revision-round claim-drift guards (#569/#570): a claim-strength ladder ("no silent move along is associated with < predicts Added: eight quality mechanisms motivated by Ren et al. (2026, arXiv:2607.13104, Self-Improvements in Modern Agentic Systems: A Survey): per-sub-question scope bindings + a Phase E scope-conformance advisory (#547) and search-bounded novelty claims + an E5 novelty classification (#548) — both advisory-only, displayed per-row at the MANDATORY integrity checkpoints; risk-stratified Stage 2.5 claim verification (100% of HIGH-IMPACT claims + a random sentinel, extending the #518 reference tiers to claim level, #549); cache-through wired into the citation-verification gate with an age-based staleness advisory + opt-in live re-validation (#541, closing the v3.11 Delta-2 forward-decl); a consent-gated cross-model reviewer track — one seat of the fixed five-seat panel on the second model family (#540) — and re-review judge independence with a transparent Judge Record (#539); a metamorphic routing/gate robustness eval seed set (#550), which also shipped the reviewer skill's missing zh-TW trigger aliases; and the survey itself as a third human-in-the-loop literature anchor (#542). Independently of the survey track, plugin installs also gain the #544 SessionStart update-available reminder (/plugin update announce when behind; ARS_UPDATE_CHECK=0 kill switch). academic-pipeline` tracks the suite at v3.18.0; the other three skill versions are unchanged.

v3.17.0 (2026-07-16) — Pipeline boundary semantics, canonical cross-model handoff envelope, executable panel checker

> Fixed: two under-specified pipeline boundaries closed (#528) — Stage 5's "before finalization: always MANDATORY" now names exactly one checkpoint (the entry gate between Stage 4.5 PASS and Stage 5 dispatch), and Stage 6 gains a defined terminal-acknowledgement vocabulary (finish/end/done/confirm) plus an explicit decline path; all five pipeline surfaces now carry whole-file sha256 content locks (#529) so any further prompt-surface drift fails CI until the hash is updated in the same commit. Blind-checkpoint transport moved to the dispatching layer (#523) — the Bucket A checkpoint owners were being told to execute cross-model transport themselves, which is unexecutable under the runtime Bash deny; the dispatching layer now owns the transport call. Added: a canonical [CROSS-MODEL-HANDOFF v1] envelope + normative Python grammar (#527) replaces prose-only enforcement of the owner→dispatcher→owner transport path, pinning agreement/divergence/malformed-result routing across all three checkpoint owners. A defrift lock for the #514 tools allowlist (#524, 74 mutation tests) closes the drift path where a symmetric edit to an agent + its mirror could silently re-add Bash. An executable sprint-contract panel checker (#510) recomputes both v3.6.2 decision layers from the primary artifacts and catches a transcription error in the majority-vote formula. A machine-readable degradation registry (#511 Part A) indexes every graceful-degradation mechanism in the suite, plus a hermetic transport-fixture integration test for the citation-verification gate (#511 Part B) exercising all four resolver clients end-to-end against checked-in synthetic API bodies. academic-pipeline tracks the suite at v3.17.0; the other three skill versions are unchanged.

v3.16.0 (2026-07-12) — Model tiering, cross-model gate hardening, WP advisory sharpening

> Added: opt-in model tiering (#517) — a new ARS_MODEL_TIERING switch with two directions (economy dispatches the 13 execution-type agents one tier below the session model, floor Opus-class; quality-boost steps the judgment-type agents at the integrity gates and final-review surfaces up to the frontier tier); default unset stays byte-equivalent, with the frozen 39-agent classification pinned by a new manifest + lint. Cross-model gate hardening (#518) — risk-stratified verification sampling (HIGH-IMPACT references verified 100% at both gates), blind disagreement checkpoints at the two irreversible decisions (design freeze + final editorial decision), an id-status allowlist for verifier model ids, and a promotion bakeoff protocol; the once-planned generic 6th reviewer is retired, not deferred. GPT-5.6 Sol listed as a provisional cross-model verifier with explicit reasoning-effort control (#515). Korean trigger keywords + routing boundary fixtures by devCharlotte (#452/#509). A CARS introduction-rhetoric + title-crafting reference for the paper writer (#500). Changed: the WP research-question advisory generalizes beyond its 20-shell table via the noun-swap test (#501) and a sharpened exemption clause that catches decorated title-form shells (#505) — held-out miss rate 0.34–0.38 → 0.094 with false-fire 0/16 preserved; reviewer calibration protocol now documents the LLM-as-judge leniency direction (FARS anchor, #484); OpenAlex API-key auth + budget-aware 429 handling + arXiv ToU-aligned backoff (#495/#496). Docs: THIRD_PARTY.md community directory (#497/#498). academic-pipeline tracks the suite at v3.16.0; the other three skill versions are unchanged.

v3.15.0 (2026-07-04) — Release-gate hardening, prompt-debt retirement round 2, defrift locks

> A release-discipline-and-hygiene release; no skill-behavior changes. Added: three CI gates — the CHANGELOG-covers-merges pre-tag gate (#483), version-consistency invariants 9-11 plus a tag-time re-run gate (#487), and a command-invariants gate pinning the SessionStart announce list to the actual 16-command inventory (#486) — plus two defrift locks: the Phase Boundary enforcement sentence is pinned verbatim across all 23 Bucket A agent blocks, and the SETUP cross-model examples are pinned to each other and to the canonical model tables (#491 → #492). Changed: prompt-debt retirement round 2 deep-scans the 17 agents the first pass deferred (#489 → #490): two live self-contradictions fixed in both socratic_mentor agents (stale 15-round quit rules vs the documented typical 20-30-round run), the repo-wide stale enforcement-status sentence corrected at 29 surfaces, few-shot and duplicated-process scaffolds trimmed across 7 agents — verified by a 4-batch parallel audit + independent codex cross-model challenge; audit report under audits/. Fixed: DOI badge served from shields.io (#482). academic-pipeline tracks the suite at v3.15.0; the other three skill versions are unchanged.

v3.14.0 (2026-07-02) — Claude Science importability, eval-comment rendering, prompt-debt retirement

> A portability-and-polish release; no skill-behavior changes. Added: Claude Science importability — the marketplace manifest declares explicit skill paths, so GitHub-API importers that cannot traverse the symlinked skills/ directory (Claude Science "Import from GitHub", Windows checkouts) now find all four skills; verified end-to-end on Claude Science, with an import guide in README + SETUP (#480). Eval-harness PR comments render as a one-line verdict + per-task table with the raw JSON folded into