Agent skill

Literature Review Tools

by DrugClaw in DrugClaw/DrugClaw

Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping.

Apache-2.0Auto-check passedResearch & Science

Install Literature Review Tools

skills CLI
$ npx skills add DrugClaw/DrugClaw --skill literature-review-tools -a claude-code

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

GitHub CLI
$ gh skill install DrugClaw/DrugClaw literature-review-tools --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/DrugClaw/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/science/literature-review-tools .claude/skills/literature-review-tools && 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-tools
GitHub stars
126
Token cost
~923 tokens
SKILL.md length
281 words
Files
3
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping.

  • Works in 5 steps: Gather citations first from PubMed,… → Run citation_table_normalize.py to… → Run evidence_matrix.py to convert the… → …
  • The user asks for systematic
  • SKILL.md covers Environment Check, Bundled Assets, Preferred Workflow and Citation Normalization, plus 3 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Literature Review Tools is an agent skill from DrugClaw/DrugClaw. Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping. Use when the user asks for systematic or scoped literature review workflows, citation cleanup, evidence tables, or manuscript-ready review preparation for drug-discovery and biomedical topics.

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `templates/citation_table_normalize.py` and `templates/evidence_matrix.py`).

It sits in Research & Science, covering Literature review, Citation management and Database schema design. The repository describes itself as: 💊 AI Research Assistant for Accelerated Drug Discovery. 🦞. The licence is Apache-2.0.

When your agent uses it

  • The user asks for systematic
  • Scoped literature review workflows
  • Citation cleanup
  • Evidence tables

Example prompts

  • “/literature-review-tools”

Requirements

  • Python 3

Workflow steps

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

  1. Gather citations first from PubMed, OpenAlex, Crossref-like exports, or existing CSV/JSON tables.
  2. Run citation_table_normalize.py to normalize DOI, PMID, title, and key metadata before synthesis.
  3. Run evidence_matrix.py to convert the cleaned table into a review or screening matrix.
  4. Only then draft a narrative synthesis, gap map, or manuscript section.
  5. Keep the evidence matrix and citation table as durable artifacts, not just prose.

What it can do on your machine

Read from SKILL.md and the folder at commit 960a6e0. 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 script files (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

Literature Review Tools loads about 923 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 281 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~923

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 DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 281 words, ~923 tokens.

Download SKILL.mdSave it as .claude/skills/literature-review-tools/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
literature-review-tools
description
Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping. Use when the user asks for systematic or scoped literature review workflows, citation cleanup, evidence tables, or manuscript-ready review preparation for drug-discovery and biomedical topics.
source
drugclaw
updated_at
2026-03-11

Literature Review Tools

Use this skill when the user asks for structured literature review work rather than only a single paper lookup.

Typical triggers:

  • systematic or scoped literature review preparation
  • citation cleanup before manuscript drafting
  • evidence-table or evidence-matrix construction
  • research-gap mapping across a paper set
  • turning search results into a review-ready artifact

Environment Check

bash
which python3 || true
python3 - <<'PY'
mods = ["pandas"]
for name in mods:
    try:
        __import__(name)
        print(f"{name}: ok")
    except Exception as exc:
        print(f"{name}: missing ({exc})")
PY

For current papers, citations, or metadata that may have changed, also verify with live APIs or web search rather than relying on stale local tables.

Bundled Assets

  • templates/citation_table_normalize.py
  • templates/evidence_matrix.py

Preferred Workflow

  1. Gather citations first from PubMed, OpenAlex, Crossref-like exports, or existing CSV/JSON tables.
  2. Run citation_table_normalize.py to normalize DOI, PMID, title, and key metadata before synthesis.
  3. Run evidence_matrix.py to convert the cleaned table into a review or screening matrix.
  4. Only then draft a narrative synthesis, gap map, or manuscript section.
  5. Keep the evidence matrix and citation table as durable artifacts, not just prose.

Citation Normalization

bash
python3 templates/citation_table_normalize.py \
  --input literature/raw_hits.csv \
  --title-column title \
  --doi-column doi \
  --pmid-column pmid \
  --year-column year \
  --journal-column journal \
  --authors-column authors \
  --output literature/normalized_citations.csv \
  --summary literature/normalized_citations.json \
  --bibtex-output literature/normalized_citations.bib

Use this for:

  • duplicate cleanup by DOI or normalized title
  • stable citation-key creation
  • lightweight BibTeX export from tabular metadata

Evidence Matrix Assembly

bash
python3 templates/evidence_matrix.py \
  --input literature/normalized_citations.csv \
  --title-column title \
  --question-column topic \
  --model-column model_system \
  --intervention-column intervention \
  --outcome-column outcome \
  --finding-column key_finding \
  --evidence-type-column study_type \
  --output literature/evidence_matrix.csv \
  --summary literature/evidence_matrix.json

Use this for:

  • scoping reviews
  • screen-ready evidence tables
  • thematic synthesis inputs
  • identifying under-covered mechanisms, assays, or modalities

Working Rules

  • Distinguish clearly between local table cleanup and live literature search.
  • Do not claim a review is systematic unless search strategy, deduplication, and inclusion logic are documented.
  • Treat citation counts and publication volume as context, not proof.
  • Keep exact search strings, identifiers, and date ranges when the user needs a reproducible review.

For paper, author, institution, trial, or public drug-database APIs, activate pharma-db-tools. For PubMed-style biology lookups, activate bio-tools or bio-db-tools depending on the source. For hypothesis framing, peer-review style critique, or reproducibility planning, activate scientific-workflow-tools.

© DrugClaw, Apache-2.0. 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 2 other files in skills/science/literature-review-tools of DrugClaw/DrugClaw.

  • SKILL.md
  • templates/citation_table_normalize.py
  • templates/evidence_matrix.py

Open the folder on GitHubat commit 960a6e0

Compare with similar skills

Literature Review Tools 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 Tools compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Literature Review Tools this skillDrugClaw/DrugClaw126—~923Automated safety check: PassApache-2.0
Obsidian Literature Workflowbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~976Automated safety check: PassCustom licence
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 Tools

What does Literature Review Tools do?

Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping. Literature Review Tools is an agent skill from DrugClaw/DrugClaw. Research-literature workflow guide for evidence-matrix assembly, citation-table normalization, structured review synthesis, and research-gap mapping.

When should I use Literature Review Tools?

Literature Review Tools fits situations like: the user asks for systematic; scoped literature review workflows; citation cleanup; evidence tables.

How do I install Literature Review Tools in Claude Code?

Run `npx skills add DrugClaw/DrugClaw --skill literature-review-tools -a claude-code`. Or copy the skill folder (skills/science/literature-review-tools in DrugClaw/DrugClaw) into .claude/skills/literature-review-tools in your project. Claude Code loads it when a task matches its description.

How do I install Literature Review Tools in Codex?

Run `npx skills add DrugClaw/DrugClaw --skill literature-review-tools -a codex`. Or copy the skill folder (skills/science/literature-review-tools in DrugClaw/DrugClaw) into .agents/skills/literature-review-tools in your project. Codex loads it when a task matches its description.

Can I use Literature Review Tools 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 DrugClaw/DrugClaw --skill literature-review-tools -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-tools, .gemini/skills/literature-review-tools, .github/skills/literature-review-tools and .opencode/skills/literature-review-tools in your project.

What does Literature Review Tools need to run?

Going by SKILL.md and its folder, Literature Review Tools needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Literature Review Tools 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 Tools 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 Tools use?

Literature Review Tools is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Literature Review Tools use?

About 923 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Literature Review Tools?

Skills that share tags, products or a category with Literature Review Tools: Obsidian Literature Workflow (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k 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 Tools?

DrugClaw (a GitHub organization) maintains it in DrugClaw/DrugClaw, which has 126 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on March 23, 2026.

Source: DrugClaw/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.