Agent skill

Literature Review Assistant

by hh-health-AI in hh-health-AI/healthcare-equity

A skill your agent uses for biomedical literature searches, deduplication, screening worklists, study extraction, evidence maps and systematic-review preparation.

MITAuto-check passedResearch & Science

Install Literature Review Assistant

skills CLI
$ npx skills add hh-health-AI/healthcare-equity --skill literature-review-assistant -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity literature-review-assistant --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/hh-health-ai-research/skills/literature-review-assistant .claude/skills/literature-review-assistant && rm -rf skills-src

Use ~/.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/

Facts

Skill name
literature-review-assistant
GitHub stars
101
Token cost
~767 tokens
SKILL.md length
341 words
Files
6 (incl. references)
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses for biomedical literature searches, deduplication, screening worklists, study extraction, evidence maps and systematic-review preparation.

  • Works in 7 steps: Define the question, inclusion/exclusion… → Develop reproducible queries and run the… → Preserve original import identifiers… → …
  • Biomedical literature searches
  • SKILL.md covers Workflow, Deliverable and Shared controls and output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Literature Review Assistant is an agent skill from hh-health-AI/healthcare-equity. Use for biomedical literature searches, deduplication, screening worklists, study extraction, evidence maps and systematic-review preparation. Preserve search logs and review decisions; do not label a capped or single-database retrieval comprehensive.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/connector-routing.md` and `references/evidence-brief.md`).

It sits in Research & Science, covering Literature review. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Biomedical literature searches
  • Screening worklists
  • Study extraction
  • Evidence maps and systematic-review preparation

Example prompts

  • “/literature-review-assistant”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Define the question, inclusion/exclusion criteria, outcomes, databases, language/time restrictions and cutoff before screening. State…
  2. Develop reproducible queries and run the relevant available sources. Log exact query, database/interface, search date, filters, reported…
  3. Preserve original import identifiers alongside PMID, DOI, title, authors and year. Deduplicate exact normalized PMID/DOI matches…
  4. Screen title/abstract and then full text against the stated criteria. Preserve exclusion reasons, uncertainties and human adjudication…
  5. Link multiple publications to the same underlying trial, study or cohort before extracting evidence. Preserve separate follow-up reports…
  6. Synthesize only comparable evidence. Explain heterogeneity and conflicting results. Do not run an unrequested or unjustified pooled effect…
  7. Reconcile counts of imported records, duplicates, screened records, reports retrieved and included studies. A PRISMA-style flow requires…

What it can do on your machine

Read from SKILL.md and the folder at commit 6c7bda8. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Literature Review Assistant loads about 767 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 341 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~767
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from hh-health-AI/healthcare-equity at commit 6c7bda8, republished under its MIT licence (© hh-health-AI). 341 words, ~767 tokens.

Download SKILL.mdSave it as .claude/skills/literature-review-assistant/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
literature-review-assistant
description
Use for biomedical literature searches, deduplication, screening worklists, study extraction, evidence maps and systematic-review preparation. Preserve search logs and review decisions; do not label a capped or single-database retrieval comprehensive.

Literature Review Assistant

Workflow

  1. Define the question, inclusion/exclusion criteria, outcomes, databases, language/time restrictions and cutoff before screening. State whether the deliverable is a rapid review, scoping review, evidence map or systematic-review support.
  2. Develop reproducible queries and run the relevant available sources. Log exact query, database/interface, search date, filters, reported total, returned count and cap. Resolve truncation by appropriate pagination or scoped queries where available; otherwise disclose it.
  3. Preserve original import identifiers alongside PMID, DOI, title, authors and year. Deduplicate exact normalized PMID/DOI matches conservatively. Flag contradictory identifiers and ambiguous title matches for review rather than merging them automatically.
  4. Screen title/abstract and then full text against the stated criteria. Preserve exclusion reasons, uncertainties and human adjudication where needed. Inaccessibility alone is not an eligibility exclusion; mark it as not retrieved or awaiting assessment.
  5. Link multiple publications to the same underlying trial, study or cohort before extracting evidence. Preserve separate follow-up reports without counting them as independent studies. Extract design, population, intervention/comparator, endpoints, effect size, uncertainty, harms, bias domains and source passages.
  6. Synthesize only comparable evidence. Explain heterogeneity and conflicting results. Do not run an unrequested or unjustified pooled effect from incompatible estimates. Distinguish hypothesis-generating summaries from causal conclusions.
  7. Reconcile counts of imported records, duplicates, screened records, reports retrieved and included studies. A PRISMA-style flow requires an explicitly reconciled counting process; do not certify a complete systematic review merely because a worklist exists.

Deliverable

Provide the search log, source coverage statement, deduplicated worklist, eligibility decisions with reasons, study-linked extraction table, evidence gaps and confidence. Preserve reproducibility in a downloadable artifact only when a file has actually been created. The upstream utility assists with structured worklists; this workflow does not claim its execution or independent clinical verification.

Shared controls and output

Read evidence controls before executing this workflow and use the connector map for source selection. Use the evidence brief when producing investment-related evidence. The workflows use the host's available tools; upstream Python utilities and the local MCP server are not included or deployed by this plugin.

© hh-health-AI, 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 5 other files (references) in plugins/hh-health-ai-research/skills/literature-review-assistant of hh-health-AI/healthcare-equity.

  • SKILL.md
  • agents/openai.yaml
  • references/connector-routing.md
  • references/evidence-brief.md
  • references/evidence-controls.md
  • references/source-notes.md

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Literature Review Assistant 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.

Literature Review Assistant compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Literature Review Assistant this skillhh-health-AI/healthcare-equity101—~767Automated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

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Questions about Literature Review Assistant

What does Literature Review Assistant do?

A skill your agent uses for biomedical literature searches, deduplication, screening worklists, study extraction, evidence maps and systematic-review preparation. Literature Review Assistant is an agent skill from hh-health-AI/healthcare-equity. Use for biomedical literature searches, deduplication, screening worklists, study extraction, evidence maps and systematic-review preparation.

When should I use Literature Review Assistant?

Literature Review Assistant fits situations like: biomedical literature searches; screening worklists; study extraction; evidence maps and systematic-review preparation.

How do I install Literature Review Assistant in Claude Code?

Run `npx skills add hh-health-AI/healthcare-equity --skill literature-review-assistant -a claude-code`. Or copy the skill folder (plugins/hh-health-ai-research/skills/literature-review-assistant in hh-health-AI/healthcare-equity) into .claude/skills/literature-review-assistant in your project. Claude Code loads it when a task matches its description.

How do I install Literature Review Assistant in Codex?

Run `npx skills add hh-health-AI/healthcare-equity --skill literature-review-assistant -a codex`. Or copy the skill folder (plugins/hh-health-ai-research/skills/literature-review-assistant in hh-health-AI/healthcare-equity) into .agents/skills/literature-review-assistant in your project. Codex loads it when a task matches its description.

Can I use Literature Review Assistant 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 hh-health-AI/healthcare-equity --skill literature-review-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/literature-review-assistant, .gemini/skills/literature-review-assistant, .github/skills/literature-review-assistant and .opencode/skills/literature-review-assistant in your project.

What does Literature Review Assistant need to run?

SKILL.md names no scripts, command-line tools or credentials: Literature Review Assistant is instructions for the agent only. Our summary lists: Python 3.

Does Literature Review Assistant 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 Literature Review Assistant 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. Review the folder before installing.

What licence does Literature Review Assistant use?

Literature Review Assistant is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Literature Review Assistant use?

About 767 tokens (SKILL.md is roughly 3.1k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Literature Review Assistant?

Skills that share tags, products or a category with Literature Review Assistant: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Literature Review Assistant?

hh-health-AI (a GitHub user) maintains it in hh-health-AI/healthcare-equity, which has 101 GitHub stars. The repository holds 72 skills in this directory. The repository was last updated on October 8, 2026.

Source: hh-health-AI/healthcare-equity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.