Systematic Review Screener
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
Literature review for academic and R&D research: search strategy, source assessment, synthesis, and citation management.
Install Litreview
$ npx skills add borghei/Claude-Skills --skill litreview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills litreview --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/litreview .claude/skills/litreview && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "litreview" agent skill from https://github.com/borghei/Claude-Skills/tree/main/research/litreview into .claude/skills/litreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "litreview", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/research/litreviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add borghei/Claude-Skills --skill litreview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills litreview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/research/litreview .agents/skills/litreview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "litreview" agent skill from https://github.com/borghei/Claude-Skills/tree/main/research/litreview into .agents/skills/litreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "litreview", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill litreview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills litreview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/research/litreview .cursor/skills/litreview && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "litreview" agent skill from https://github.com/borghei/Claude-Skills/tree/main/research/litreview into .cursor/skills/litreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "litreview", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/borghei/Claude-Skills.git --path research/litreview--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add borghei/Claude-Skills --skill litreview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills litreview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/research/litreview .gemini/skills/litreview && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "litreview" agent skill from https://github.com/borghei/Claude-Skills/tree/main/research/litreview into .gemini/skills/litreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "litreview", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install borghei/Claude-Skills litreviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add borghei/Claude-Skills --skill litreview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/research/litreview .github/skills/litreview && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "litreview" agent skill from https://github.com/borghei/Claude-Skills/tree/main/research/litreview into .github/skills/litreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "litreview", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill litreview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills litreview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/research/litreview .opencode/skills/litreview && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "litreview" agent skill from https://github.com/borghei/Claude-Skills/tree/main/research/litreview into .opencode/skills/litreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "litreview", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
litreview- GitHub stars
- 881
- Token cost
- ~1.7k tokens
- SKILL.md length
- 689 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 349
- Repo updated
- First seen
- Licence
- MIT
At a glance
Literature review for academic and R&D research: search strategy, source assessment, synthesis, and citation management.
- Works in 3 steps: Refine the research question (PICO / PEO… → Run search_strategy_builder.py against… → Execute searches; capture results.
- Conducting a systematic literature review
- SKILL.md covers When to use this skill, Inputs the advisor expects, Clarify First and Workflows, plus 5 more sections
- Runs Python scripts from its folder; calls python3
What it does
Litreview is an agent skill from borghei/Claude-Skills. Literature review for academic and R&D research: search strategy, source assessment, synthesis, and citation management. Use when conducting a systematic literature review, building a bibliography, or preparing a research-grounded report.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/search-strategy-and-prisma.md`, `references/source-quality-assessment.md` and `references/synthesis-and-citation-management.md`).
It sits in Research & Science, covering Literature review and Citation management. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
When your agent uses it
- Conducting a systematic literature review
- Building a bibliography
- Preparing a research-grounded report
Example prompts
- “/litreview”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Refine the research question (PICO / PEO format works).
- Run search_strategy_builder.py against the question + criteria to
- Execute searches; capture results.
What it can do on your machine
Read from SKILL.md and the folder at commit 4a698e8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Litreview loads about 1.7k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 689 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 689 words, ~1,657 tokens.
Download SKILL.mdSave it as
.claude/skills/litreview/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- litreview
- description
- Literature review for academic and R&D research: search strategy, source assessment, synthesis, and citation management. Use when conducting a systematic literature review, building a bibliography, or preparing a research-grounded report.
- license
- MIT + Commons Clause
- metadata.version
- 1.0.0
- metadata.author
- borghei
- metadata.category
- research
- metadata.domain
- research
- metadata.updated
- 2026-05-27
- metadata.tags
- literature-review, research, citation, synthesis, prisma, academic
Literature Review
A structured literature-review skill grounded in PRISMA-style protocols (adapted for non-medical fields), source-assessment frameworks, and thematic synthesis patterns.
When to use this skill
- Conducting a systematic literature review on a specific question
- Building a research bibliography for a paper, report, or grant
- Performing a scoping review to map a field
- Auditing an existing review for gaps, bias, or methodological flaws
- Synthesizing findings from a structured set of sources
- Preparing a research-grounded section of a longer report
Inputs the advisor expects
- Research question(s) — specific, answerable
- Inclusion / exclusion criteria
- Time bound (e.g., past 5 years)
- Geographic / domain bound
- Source types accepted (peer-reviewed, gray literature, conference)
- Existing seed sources (if any)
Clarify First
Before building the review, confirm these inputs. If any is unknown or vague, ASK — do not assume:
- Research question (PICO frame) — makes search and synthesis tractable; vague questions yield unfocused reviews
- Review type (systematic, scoping, or narrative) — sets rigor, criteria stringency, and output structure (e.g. whether a PRISMA flow is needed)
- Inclusion / exclusion criteria (year range, source type, methodology) — drives screening and reproducibility
- Synthesis goal (answer a specific question vs map a field) — selects the synthesis approach
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Workflows
Workflow 1 — Plan and execute the search
- Refine the research question (PICO / PEO format works).
- Run
search_strategy_builder.pyagainst the question + criteria to produce a search strategy (database list, queries, filters). - Execute searches; capture results.
python3 litreview/scripts/search_strategy_builder.py \
--input question.json --format markdownWorkflow 2 — Score source quality and relevance
- Capture each source with metadata (authors, date, venue, methodology).
- Run
source_quality_scorer.pyto grade each on 6 quality dimensions- relevance to question.
- Triage: include / exclude / read-in-full.
python3 litreview/scripts/source_quality_scorer.py \
--input sources.json --format markdownWorkflow 3 — Synthesize findings into themes
- Tag each source with themes + key findings.
- Run
thematic_synthesis_builder.pyto cluster sources by theme, surface evidence strength, identify gaps.
python3 litreview/scripts/thematic_synthesis_builder.py \
--input tagged_sources.json --format markdownDecision frameworks
Search strategy — the PICO frame
- Population / problem
- Intervention / phenomenon of interest
- Comparator (if relevant)
- Outcome
A well-framed question makes search and synthesis tractable.
Inclusion / exclusion criteria
- Year range
- Language
- Source type (peer-reviewed, gray, conference, preprint)
- Methodology (empirical, theoretical, review)
- Geographic scope
- Quality threshold
Publish criteria up front; apply consistently.
Source quality dimensions
| Dimension | Question |
|---|---|
| Methodology | Is the method sound? |
| Sample / dataset | Is it adequate for the claim? |
| Peer review | Has it been peer-reviewed? |
| Reproducibility | Is data / code available? |
| Recency | Is it current? |
| Citation impact | Has it been cited / accepted? |
A single sub-dimension is rarely fatal; the combination matters.
Show full SKILL.md (271 more words)Show less
Synthesis approaches
| Approach | When |
|---|---|
| Narrative synthesis | Heterogeneous sources; explanatory |
| Thematic synthesis | Multiple sources address common themes |
| Meta-analysis | Quantitative, comparable studies |
| Realist synthesis | Complex interventions; context-mechanism-outcome |
| Scoping review | Mapping a field rather than answering specific question |
For most non-clinical fields, thematic synthesis is the default.
Common engagements
"Help me build the literature review for my paper"
- Frame the research question (PICO).
- Define inclusion criteria.
- Identify search databases / repositories.
- Execute searches; deduplicate.
- Screen titles + abstracts; full-text the candidates.
- Tag and synthesize.
- Write: gaps, themes, my contribution.
"Audit my draft literature review"
- Check the search strategy: reproducible? comprehensive?
- Check inclusion criteria: applied consistently?
- Check synthesis: themes substantiated?
- Check gap identification: real gaps, or convenient?
- Check citation balance: not over-relying on a single source / group.
"Map the landscape of [research area]"
- Conduct a scoping review (different from systematic).
- Less stringent quality criteria; broader scope.
- Goal: map the field, not answer specific question.
- Output: themes, gaps, key authors, key venues.
Anti-patterns to avoid
- Search strategy that's "Google Scholar for keywords." Not reproducible.
- Inclusion criteria written after seeing results. Cherry-picking.
- Synthesizing only confirming sources. Bias.
- Citing without reading. Cite chains repeat errors.
- No quality scoring. All sources weighted equally.
- No gap discussion. Reader can't see what's not known.
- Over-reliance on one author / group / venue. Hidden bias.
- No PRISMA-style flow diagram (for systematic reviews). Process opaque.
References
references/search-strategy-and-prisma.md— search patterns, PRISMA disciplinereferences/source-quality-assessment.md— quality dimensions, common assessmentsreferences/synthesis-and-citation-management.md— synthesis approaches, citation hygiene
Related skills
research/grants— grant proposals built on literatureresearch/patent— IP-focused literature searchresearch/dossier— intelligence research patternsproduct-team/research-summarizer— synthesizing qualitative research
© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in research/litreview of borghei/Claude-Skills.
- SKILL.md
- references/search-strategy-and-prisma.md
- references/source-quality-assessment.md
- references/synthesis-and-citation-management.md
- scripts/search_strategy_builder.py
- scripts/source_quality_scorer.py
- scripts/thematic_synthesis_builder.py
Open the folder on GitHubat commit 4a698e8
Compare with similar skills
Litreview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Litreview this skillborghei/Claude-Skills | 881 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 21 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 738 | 13 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
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Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Preprint Search on bioRxiv
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Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Paper Research on arXiv
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
Deep Research Workflow
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Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
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Categories
Questions about Litreview
What does Litreview do?
Literature review for academic and R&D research: search strategy, source assessment, synthesis, and citation management. Litreview is an agent skill from borghei/Claude-Skills. Literature review for academic and R&D research: search strategy, source assessment, synthesis, and citation management.
When should I use Litreview?
Litreview fits situations like: conducting a systematic literature review; building a bibliography; preparing a research-grounded report.
How do I install Litreview in Claude Code?
Run `npx skills add borghei/Claude-Skills --skill litreview -a claude-code`. Or copy the skill folder (research/litreview in borghei/Claude-Skills) into .claude/skills/litreview in your project. Claude Code loads it when a task matches its description.
How do I install Litreview in Codex?
Run `npx skills add borghei/Claude-Skills --skill litreview -a codex`. Or copy the skill folder (research/litreview in borghei/Claude-Skills) into .agents/skills/litreview in your project. Codex loads it when a task matches its description.
Can I use Litreview in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill litreview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/litreview, .gemini/skills/litreview, .github/skills/litreview and .opencode/skills/litreview in your project.
What does Litreview need to run?
Going by SKILL.md and its folder, Litreview needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Litreview access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Litreview safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Litreview use?
Litreview is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Litreview use?
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.
What are the alternatives to Litreview?
Skills that share tags, products or a category with Litreview: Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 738 stars) and Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Litreview?
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.