Agent skill

Parsifal Slr Guide

by wentorai in wentorai/research-plugins

Plan and manage systematic literature reviews with Parsifal platform

MITAuto-check passedResearch & Science

Install Parsifal Slr Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill parsifal-slr-guide -a claude-code

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

GitHub CLI
$ gh skill install wentorai/research-plugins parsifal-slr-guide --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/methodology/parsifal-slr-guide .claude/skills/parsifal-slr-guide && 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
parsifal-slr-guide
GitHub stars
298
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
251 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Plan and manage systematic literature reviews with Parsifal platform

  • Works in 5 steps: Planning → Search Strategy → Selection → …
  • Tasks that involve Literature review
  • SKILL.md covers Overview, SLR Process with Parsifal, Self-Hosting Parsifal and SLR Best Practices, plus 1 more section
  • Calls python, git and pip; reaches github.com

What it does

Parsifal Slr Guide is an agent skill from wentorai/research-plugins. Plan and manage systematic literature reviews with Parsifal platform

Its SKILL.md is about 1.1k 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: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Literature review

Example prompts

  • “/parsifal-slr-guide”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Planning
  2. Search Strategy
  3. Selection
  4. Extraction
  5. Synthesis

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. 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

    Shell commands in SKILL.md call:

    • python
    • git
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • prisma-statement.org
    • crd.york.ac.uk

    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

Parsifal Slr Guide loads about 1.1k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 251 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 251 words, ~1,070 tokens.

Download SKILL.mdSave it as .claude/skills/parsifal-slr-guide/SKILL.md (or your agent's skills folder).
name
parsifal-slr-guide
description
Plan and manage systematic literature reviews with Parsifal platform

Parsifal Systematic Literature Review Guide

Overview

Parsifal is a web-based tool for planning and managing systematic literature reviews (SLRs) following established protocols (Kitchenham, PRISMA). It guides researchers through the complete SLR process: defining research questions, setting inclusion/exclusion criteria, planning search strings, and tracking the screening process. Open-source and self-hostable.

SLR Process with Parsifal

Phase 1: Planning
Define Research Questions

Structure questions using PICO framework:

  • Population: What group/domain?
  • Intervention: What technique/method?
  • Comparison: Compared to what?
  • Outcome: What results measured?
Example:
P: Software development teams
I: AI-assisted code review
C: Manual code review
O: Defect detection rate, review time

Research Questions:
RQ1: Does AI-assisted code review improve defect detection?
RQ2: What is the time savings compared to manual review?
RQ3: What types of defects are best detected by AI tools?
Set Criteria
Inclusion Criteria:
IC1: Studies comparing AI vs manual code review
IC2: Published in peer-reviewed venues (2020-2026)
IC3: Reports quantitative metrics

Exclusion Criteria:
EC1: Grey literature / blog posts
EC2: Studies with fewer than 10 participants
EC3: Non-English publications
Phase 2: Search Strategy
Build Search String
("artificial intelligence" OR "machine learning" OR "deep learning")
AND
("code review" OR "code inspection" OR "static analysis")
AND
("defect detection" OR "bug finding" OR "software quality")
Database Mapping
DatabaseAdapted QueryExpected Results
ScopusTITLE-ABS-KEY(...)~500
IEEE Xplorequerytext=...~300
ACM DL[[Abstract: ...]]~200
Web of ScienceTS=(...)~400
Phase 3: Selection
Screening Steps
  1. Remove duplicates — Match by DOI, title similarity
  2. Title screening — Quick relevance assessment
  3. Abstract screening — Apply inclusion/exclusion criteria
  4. Full-text review — Detailed evaluation
Quality Assessment

Define quality criteria and scoring:

CriterionScore
Clear research question stated0/0.5/1
Methodology described in detail0/0.5/1
Threats to validity discussed0/0.5/1
Results statistically analyzed0/0.5/1
Study replicable from description0/0.5/1
Phase 4: Extraction
Data Extraction Form
For each included paper, extract:
- Study ID
- Authors, Year, Venue
- Study type (experiment/case study/survey)
- Population size
- AI technique used
- Metrics reported (precision, recall, F1, time)
- Key findings
- Limitations noted
Phase 5: Synthesis
Report with PRISMA
Identification: 1,400 records
  ↓ Remove duplicates: -350
Screening: 1,050 titles/abstracts
  ↓ Exclude irrelevant: -900
Eligibility: 150 full-text assessed
  ↓ Exclude by criteria: -108
Included: 42 studies in final review

Self-Hosting Parsifal

bash
git clone https://github.com/vitorfs/parsifal.git
cd parsifal
pip install -r requirements.txt
python manage.py migrate
python manage.py runserver
# Access at http://localhost:8000

SLR Best Practices

  1. Register protocol before starting (PROSPERO for health, OSF for others)
  2. Two independent reviewers for screening to reduce bias
  3. Track inter-rater agreement (Cohen's kappa > 0.8)
  4. Document deviations from the original protocol
  5. Use PRISMA checklist for reporting completeness

References

© wentorai, 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 skills/research/methodology/parsifal-slr-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Parsifal Slr Guide 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.

Parsifal Slr Guide compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Parsifal Slr Guide this skillwentorai/research-plugins2981 repos~1.1kAutomated safety check: PassMIT
Lit Searchluwill/research-skills862—~3.7kAutomated safety check: NotesMIT
Ma Search Bibliographyhtlin222/meta-pipe139—~2.1kAutomated safety check: NotesCustom licence
Systematic Reviewaiming-lab/AutoResearchClaw15k—~246Automated safety check: PassMIT
Meta AnalysisAperivue/medsci-skills333—~8.7kAutomated safety check: PassMIT
Literature Review Toolsbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~2.5kAutomated safety check: NotesCustom licence

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Works with

Questions about Parsifal Slr Guide

What does Parsifal Slr Guide do?

Plan and manage systematic literature reviews with Parsifal platform. Parsifal Slr Guide is an agent skill from wentorai/research-plugins.

When should I use Parsifal Slr Guide?

Parsifal Slr Guide fits situations like: tasks that involve Literature review.

How do I install Parsifal Slr Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill parsifal-slr-guide -a claude-code`. Or copy the skill folder (skills/research/methodology/parsifal-slr-guide in wentorai/research-plugins) into .claude/skills/parsifal-slr-guide in your project. Claude Code loads it when a task matches its description.

How do I install Parsifal Slr Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill parsifal-slr-guide -a codex`. Or copy the skill folder (skills/research/methodology/parsifal-slr-guide in wentorai/research-plugins) into .agents/skills/parsifal-slr-guide in your project. Codex loads it when a task matches its description.

Can I use Parsifal Slr Guide 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 wentorai/research-plugins --skill parsifal-slr-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parsifal-slr-guide, .gemini/skills/parsifal-slr-guide, .github/skills/parsifal-slr-guide and .opencode/skills/parsifal-slr-guide in your project.

What does Parsifal Slr Guide need to run?

Going by SKILL.md and its folder, Parsifal Slr Guide needs the command-line tools its instructions call (python, git and pip). Our summary lists: Python 3.

Does Parsifal Slr Guide access the network?

SKILL.md names 3 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: prisma-statement.org and crd.york.ac.uk. This is read from the text; nothing was executed.

Is Parsifal Slr Guide 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 Parsifal Slr Guide use?

Parsifal Slr Guide 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 Parsifal Slr Guide use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Parsifal Slr Guide?

Skills that share tags, products or a category with Parsifal Slr Guide: Lit Search (luwill/research-skills, 862 stars), Ma Search Bibliography (htlin222/meta-pipe, 139 stars), Systematic Review (aiming-lab/AutoResearchClaw, 15k stars) and Meta Analysis (Aperivue/medsci-skills, 333 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parsifal Slr Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

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