Agent skill

Systematic Review

by aiming-lab in aiming-lab/AutoResearchClaw

Structured methodology for comprehensive literature review following PRISMA guidelines.

MITAuto-check passedResearch & Science

Install Systematic Review

skills CLI
$ npx skills add aiming-lab/AutoResearchClaw --skill systematic-review -a claude-code

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

GitHub CLI
$ gh skill install aiming-lab/AutoResearchClaw systematic-review --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/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/researchclaw/skills/builtin/experiment/systematic-review .claude/skills/systematic-review && 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
systematic-review
GitHub stars
15k
Token cost
~246 tokens
SKILL.md length
73 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Structured methodology for comprehensive literature review following PRISMA guidelines.

  • Works in 8 steps: Define clear inclusion/exclusion… → Use multiple databases (Semantic… → Search with both broad and narrow queries → …
  • Tasks that involve Literature review
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Systematic Review is an agent skill from aiming-lab/AutoResearchClaw. Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.

Its SKILL.md is about 250 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review. It works with Prisma. The repository describes itself as: Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞. The licence is MIT.

When your agent uses it

  • Tasks that involve Literature review

Example prompts

  • “/systematic-review”

Workflow steps

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

  1. Define clear inclusion/exclusion criteria BEFORE searching
  2. Use multiple databases (Semantic Scholar, arXiv, OpenAlex)
  3. Search with both broad and narrow queries
  4. Screen by title/abstract first, then full text
  5. Extract: method, dataset, metrics, key findings
  6. Synthesize gaps and opportunities, not just summaries
  7. Prioritize recent (last 2-3 years) high-citation papers
  8. Include at least one seminal/foundational paper per sub-topic

What it can do on your machine

Read from SKILL.md and the folder at commit be4ba47. 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

Systematic Review loads about 246 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 73 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~246

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 aiming-lab/AutoResearchClaw at commit be4ba47, republished under its MIT licence (© aiming-lab). 73 words, ~246 tokens.

Download SKILL.mdSave it as .claude/skills/systematic-review/SKILL.md (or your agent's skills folder).
name
systematic-review
description
Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.
metadata.category
experiment
metadata.trigger-keywords
literature,review,survey,related work,prior work
metadata.applicable-stages
3,4,5,6
metadata.priority
3
metadata.version
1.0
metadata.author
researchclaw
metadata.references
Page et al., The PRISMA 2020 statement, BMJ 2021

Systematic Review Best Practice

Follow PRISMA-like methodology for literature search:

  1. Define clear inclusion/exclusion criteria BEFORE searching
  2. Use multiple databases (Semantic Scholar, arXiv, OpenAlex)
  3. Search with both broad and narrow queries
  4. Screen by title/abstract first, then full text
  5. Extract: method, dataset, metrics, key findings
  6. Synthesize gaps and opportunities, not just summaries
  7. Prioritize recent (last 2-3 years) high-citation papers
  8. Include at least one seminal/foundational paper per sub-topic

© aiming-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in researchclaw/skills/builtin/experiment/systematic-review of aiming-lab/AutoResearchClaw.

Open the folder on GitHubat commit be4ba47

Compare with similar skills

Systematic Review 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.

Systematic Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Systematic Review this skillaiming-lab/AutoResearchClaw15k—~246Automated safety check: PassMIT
Lit Searchluwill/research-skills860—~3.7kAutomated safety check: NotesMIT
Ma Search Bibliographyhtlin222/meta-pipe139—~2.1kAutomated safety check: NotesCustom licence
Meta AnalysisAperivue/medsci-skills333—~8.7kAutomated safety check: PassMIT
Literature Review Toolsbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~2.5kAutomated safety check: NotesCustom licence
Review PaperAperivue/medsci-skills333—~1.3kAutomated safety check: PassMIT

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Works with

Questions about Systematic Review

What does Systematic Review do?

Structured methodology for comprehensive literature review following PRISMA guidelines. Systematic Review is an agent skill from aiming-lab/AutoResearchClaw. Structured methodology for comprehensive literature review following PRISMA guidelines.

When should I use Systematic Review?

Systematic Review fits situations like: tasks that involve Literature review.

How do I install Systematic Review in Claude Code?

Run `npx skills add aiming-lab/AutoResearchClaw --skill systematic-review -a claude-code`. Or copy the skill folder (researchclaw/skills/builtin/experiment/systematic-review in aiming-lab/AutoResearchClaw) into .claude/skills/systematic-review in your project. Claude Code loads it when a task matches its description.

How do I install Systematic Review in Codex?

Run `npx skills add aiming-lab/AutoResearchClaw --skill systematic-review -a codex`. Or copy the skill folder (researchclaw/skills/builtin/experiment/systematic-review in aiming-lab/AutoResearchClaw) into .agents/skills/systematic-review in your project. Codex loads it when a task matches its description.

Can I use Systematic Review 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 aiming-lab/AutoResearchClaw --skill systematic-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/systematic-review, .gemini/skills/systematic-review, .github/skills/systematic-review and .opencode/skills/systematic-review in your project.

What does Systematic Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Systematic Review is instructions for the agent only.

Does Systematic Review 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 Systematic Review 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 Systematic Review use?

Systematic Review 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 Systematic Review use?

About 246 tokens (SKILL.md is roughly 984 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 Systematic Review?

Skills that share tags, products or a category with Systematic Review: Lit Search (luwill/research-skills, 860 stars), Ma Search Bibliography (htlin222/meta-pipe, 139 stars), Meta Analysis (Aperivue/medsci-skills, 333 stars) and Literature Review Tools (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Systematic Review?

aiming-lab (a GitHub organization) maintains it in aiming-lab/AutoResearchClaw, which has 14,607 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on August 19, 2026.

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